Double Master in European Financial Markets and Institutions
The Double Master in European Financial Markets and Institutions is a two-year programme within the Bologna system (M1 and M2). On the M1 level, students attend the Master in European Financial Markets and Institutions at the University of Leipzig. All classes are taught in English. Optional fields are offered in German. The common core consists of the following modules: Financial Market Regulation (10 ECTS) and Development of Financial Markets and Institutions (10 ECTS) and International Economic Policy (10 ECTS). Among the optional courses (selection): Sustainable Finance (5 ECTS), Corporate Finance (10 ECTS), Theorien der Finanzintermediation (10 ECTS), Banking and Financial Law (5 ECTS), Time Series Analysis (10 ECTS), Advanced Macroeconomics ( 10 ECTS), Wertpapiermanagement (10 ECTS). On the M2 level, students follow the Master in Law & Finance at the University of Angers. All classes are taught in English. Optional courses are offered in French. In addition, each student must write a Master’s thesis (14 ECTS). The common core consists of the following modules: Corporate Finance (12 ECTS), Financial Regulation (16 ECTS), Law and Economics (14 ECTS). Optional courses: International Financial Business Game (2 ECTS), Conjoncture et marchés financiers (2 ECTS), Economics of Financial Risks (2 ECTS) and Capital investissement (2 ECTS). Typical entry-level jobs of our graduates have been middle-office employments, such as equity sales analyst, market risk analyst, and portfolio management analyst. Some of our graduates also established their own business and others went on with a doctorate. To apply, follow the instructions on the programme information sheet. Applications through the EEF procedure need to start in the Fall of the previous year. All other candidates should apply through the University of Angers eCandidat platform and submit these documents: one copy of each diploma, copies of transcripts (all previous semesters), chronological and complete curriculum vitae, letter of motivation, one academic letter of recommendation, TOEFL scores (or any other international standard test such as TOEIC, IELTS, or Cambridge Exam), GRE or GMAT or Tage Mage scores.
The University of Angers conjointly with the University of Leipzig offer a Double Master in European Financial Markets and Institutions. The programme covers the historical development of financial markets and institutions, the working of financial instruments, legal aspects of financial markets, financial market regulation as well as the interaction of financial markets with economic policy, monetary policy, and sustainability. It is interdisciplinary with a focus on economics, business administration, law, and economic history. Classes are taught by renowned academics and professionals from both countries. The programme is co-funded by the Université franco-allemande / Deutsch-französische Hochschule. Successful candidates will benefit from a monthly UFA/DFH stipend. The deadline for applications is 31 May 2026. EARLY APPLICATIONS ARE ENCOURAGED to benefit from additional Erasmus funding opportunities. These early applications should arrive by 6 March 2026 at latest.
BSE Summer School 2026: Economics, Finance, Data Science, and related fields
You can mix and match courses to fit your training needs and agenda: Banking CREI Macroeconometrics Data Science Development Economics Finance Digital Economy Macroeconometrics Microeconometrics Labor Economics Data Science in Finance Complexity and Emergence in Economic and Social Systems 👉 Explore the complete range of courses offered at BSE Summer School 2026. 🗓️ Take note of our weekly enrollment deadlines, tailored to the start dates of our courses: JUNE 15 Courses starting on June 22 JUNE 22 Courses starting on June 29 JUNE 29 Courses starting on July 6 JULY 6 Courses starting on July 13 Why Choose BSE for Your Skill Enhancement? Research-led teaching will present the latest trends and developments. You will grasp a richer perspective and be equipped with new tools and empirical methods to put them into real-world practice. Engaging in thrilling discussions with like-minded professionals and experts from many backgrounds and countries will bring valuable insights to your own current challenges. Choose from a diverse selection of 48 courses designed for professionals, covering 11 knowledge areas and taught by renowned world-class professors. Experience the vibrant and culturally rich city of Barcelona, consistently ranked among the best in the world. Cumulative discounts to save on course fees: Early Bird, multiple course selection, group discounts, and other fee reductions. Curious about the BSE Summer School vibe? Watch our video for a sneak peek into the unforgettable learning experience that awaits you in Barcelona. 📬 Need More Information? Contact our Admissions Counselor at summerschool@bse.eu to clarify any doubts, discuss your goals, or request a personalized quotation.
The 19th edition of the BSE Summer School 2026 is open for registration The 19th edition of the Barcelona School of Economics Summer School is approaching fast. Prepare yourself for what promises to be an exciting and valuable experience that goes beyond traditional learning. Discover the power to delve deeper into your areas of interest, acquire a valuable skill set, and fast-track your research or career progress. Seize the chance to apply newfound knowledge directly to your ongoing and upcoming projects! Explore 48 exciting courses in this year’s Summer School edition! — Limited seats available Renowned world-class professors, and experts in their respective fields, guide this educational journey, ensuring a high-quality and impactful learning environment.
Public Economics & Economic Policy (JEL H)
Economic Development, Innovation and Growth (JEL O)
Urban, Rural and Transportation Economics (JEL R)
Macroeconomics and Monetary Economics (JEL E)
Econometrics, Statistics and Quantitative Methods (JEL C)
Agricultural and Environmental Economics (JEL Q)
Talent Acquisition Specialist (HR-TA-2026-130-LD)
Company Description At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world's largest and most complex scientific instruments, they study the basic constituents of matter - fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Job Description Introduction You will join our multicultural team of around 20 Talent Acquisition colleagues to attract and hire diverse talent for CERN’s scientific and technical missions. Each team member partners with specific client groups, and brings their knowledge, ideas and diverse strengths to the team. Together we have some ambitious goals, such as increasing the representation of women in STEM and strengthening nationality diversity in all types of hires, from students to seasoned professionals. You will be expected to handle big volumes of recruitment, and contribute to the shaping of first-class recruitment experiences for all stakeholders. Functions Partner with hiring teams and stakeholder groups to deliver on their recruitment needs. This includes translating their needs in market-ready job ads and attraction strategies; facilitating fair, transparent and inclusive selection processes. Deliver a seamless, welcoming and inclusive candidate experience from first contact through to offer and onboarding. Build and engage relevant talent communities. Contribute to the overall employer branding strategies and its translation into practice with proposals, engaging with the public through social media and representing CERN at events. Support the shaping of our future recruitment processes in particular for students and grads by staying informed and curious, translating findings in a creative and/or open-minded collaboration. Use internal and external data as appropriate for decision making and reporting. Qualifications Bachelor's degree or equivalent relevant experience in the field of Human Resources, Business Administration or a related field. Experience Experience in : End-to-end recruitment within an in-house team, ideally in an international environment. Sourcing and engaging talent across different roles; Employer Branding, Social Media and Outreach initiatives. HR data and analytics to drive and support informed decision-making is considered as an asset. Technical competencies: Talent Acquisition: mastery of talent acquisition processes and best practices. Customer service: strong ability to provide excellent service to internal and external stakeholders. Direct sourcing: proficiency in proactive sourcing techniques and tools to proactively identify and engage potential candidates. Information content publishing: knowledge and use of applicant tracking systems and other web-based applications. Behavioural competencies: Achieving Results: having a structured and organised approach towards work; being able to set priorities and plan tasks with results in mind. Working in Teams: contributing to promoting a positive atmosphere in the team through an optimistic and constructive attitude; addressing issues. Demonstrating Flexibility: adapting quickly and resourcefully to shifting priorities and requirements. Managing Self: working well autonomously; taking on activities and tasks without prompting. Demonstrating Accountability: using openness and honesty to interact constructively with others. Language skills: Spoken and written English, with a commitment to learn French. Additional Information Eligibility and closing date: Diversity has been an integral part of CERN's mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success. We welcome applications from all Member States and Associate Member States. This vacancy will be filled as soon as possible, and applications should normally reach us no later than 15.07.2026 at 23:59 CEST. Employment Conditions Contract type: Limited duration contract (3 years). Subject to certain conditions, holders of limited-duration contracts may apply for an indefinite position. Working Hours: 40 hours per week Job Flexibility: Hybrid Job grade: 4-5 Job reference: HR-TA-2026-130-LD Field of work: Support Services (Finance, HR, Legal, Procurement) Benchmark Job Title: Human Resources Support Officer Global Benefits A competitive salary (tax free), increasing in line with your years of relevant experience. 30 days of paid leave per year plus 2 weeks annual closure. Coverage by CERN’s comprehensive health insurance scheme (for yourself, your spouse and children), and membership of the CERN Pension Fund. Family, child and infant monthly allowances depending on your individual circumstances. A relocation package (installation grant, removal, travel expenses) depending on your individual circumstances. Possibility to extend your contract up to 8 years + eligibility for indefinite contract tenure. Overview of CERN - Discover a world where the impossible is made possible! At CERN, the European Organization for Nuclear Research, we are pushing the frontiers of science and technology. Our groundbreaking work brings together not only physicists but also a diverse range of professionals from engineering, technical, scientific, and administrative fields. Together, we foster an environment where innovation and collaboration thrive. Every day, we face exciting new challenges and opportunities to contribute to cutting-edge research that shapes our understanding of the universe. We meet these challenges through the diverse perspectives within our teams, ensuring every contribution is valued and driving our shared sense of inclusion and purpose. Diversity is a core value of CERN since its foundation, and it remains central to our mission and continued success. If you are ready to be part of a dynamic, inclusive community pushing the boundaries of knowledge, CERN is the place where your curiosity and skills can thrive. Be part of our mission to uncover what lies at the heart of the universe! TAKE PART! More information about us, here: careers.cern
CERN - Conseil Européen pour la Recherche Nucléaire
Organizational Setting The Food and Agriculture Organization of the United Nations (FAO) is a specialized UN agency mandated to lead global efforts to eradicate hunger and achieve food security for all. Its core objective is to ensure sustained access to sufficient, safe and nutritious food that enables people to lead active and healthy lives. With 195 members—194 countries and the European Union—FAO operates in over 130 countries. In Sri Lanka, FAO has been engaged since 1979, with its country representation established in Colombo to support national development priorities in agriculture, food security, nutrition and resilience. FAO contributes to the realization of the 2030 Agenda for Sustainable Development through its Strategic Framework, which focuses on transforming agri-food systems to be more efficient, inclusive, resilient and sustainable. This transformation is operationalized through the “Four Betters”: Better Production, Better Nutrition, a Better Environment and a Better Life, while ensuring that no one is left behind. Since 2025, FAO Sri Lanka has initiated drought-related anticipatory action. While Sri Lanka currently undertakes drought monitoring based on observed conditions, there is a critical gap in operational drought prediction. Effective anticipatory action requires reliable, science-based drought forecasting with adequate lead time to trigger predefined actions that reduce agricultural and livelihood losses. Under the Technical Cooperation Programme (TCP/SRL/4102), a Drought Forecasting Expert is to be recruited to support the Government of Sri Lanka—particularly the Department of Agriculture, Department of Meteorology and Disaster Management Centre—to develop and institutionalize an advanced drought prediction system through strengthened technical collaboration, data integration and capacity building. This proposed programme is expected to run through December 2027. Key activities include: • Activity 1: Provide technical support to strengthen drought prediction capabilities and develop context-specific drought indices for FAO programming and analysis. • Activity 2: Support the operationalization and application of drought forecasts within FAO-supported agricultural decision-making systems and anticipatory action frameworks. • Activity 3: Provide technical support for the development and implementation of anticipatory action triggers and Standard Operating Procedures (SOPs) under FAO-led initiatives. • Activity 4: Support FAO in enhancing national capacities and promoting long-term institutional sustainability through technical assistance, knowledge management, and capacity-strengthening activities. Reporting Lines The Drought Forecasting Expert will work under the overall supervision of the FAO Representative for Sri Lanka and the Maldives and the direct supervision of the Assistant FAO Representative (Programmes). Working closely with the Anticipatory Action Coordinator. In addition, the Expert will work closely with FAO RAP Disaster Resilience and Inclusion team specifically the Early Warning Systems Expert and Regional Anticipatory Action Specialist. Technical Focus The objective of the assignment is to support FAO country office in developing, testing and validating triggering methodologies and impact-based forecasting for Anticipatory Action in Sri Lanka. The incumbent will further support the standardization of processes and assist the FAO project team in advancing mainstreaming and outreach efforts within government systems. Tasks and responsibilities The Drought Forecasting Expert will be responsible for the following specific tasks: Main Task 1: Provide technical support to strengthen drought prediction capabilities and develop context-specific drought indices for FAO programming and analysis. • Compile, organize, and quality-control historical and near-real-time climate, crop, and hydrological datasets from available technical sources to support FAO drought analysis and monitoring activities. • Provide technical support for the development and operationalization of the Standardized Precipitation Index (SPI) at multiple time scales (SPI-1, SPI-3, and SPI-6) using national and district-level baseline data for FAO applications. • Design and refine AI/ML-based Composite Drought Index (CDI) for agricultural drought monitoring and anticipatory action planning. • Support in defining agriculture-relevant drought severity thresholds across major agro-ecological zones to strengthen drought risk analysis and early action systems. • Provide technical support for the testing and validation of drought indices and triggers using historical drought events and associated crop loss datasets to inform FAO anticipatory action frameworks. Main Task 2: Support the operationalization and application of drought forecasts within FAO-supported agricultural decision-making systems and anticipatory action frameworks. • Support the integration of SPI and CDI outputs into FAO-supported seasonal agricultural planning and analysis for Maha and Yala cultivation cycles. • Translating drought forecasts into crop-specific technical advisories, including guidance on planting timing, crop variety selection, and input management practices. • Provide technical support for the preparation of district-level drought outlook products and analytical briefs to inform FAO anticipatory action and agricultural planning activities. • Incorporate drought signals and forecast information into FAO-supported agrometeorological bulletins, early warning products, and technical advisories. Main Task 3: Provide technical support for the development and implementation of anticipatory action triggers and Standard Operating Procedures (SOPs) under FAO-led initiatives. • Support FAO in defining forecast-based trigger thresholds for agricultural anticipatory actions under drought risk management frameworks. • Provide technical support to align drought trigger methodologies and analytical approaches with existing early warning and anticipatory action frameworks relevant to FAO operations. • Support FAO in reviewing and refining Standard Operating Procedures (SOPs) that link forecast information with predefined early actions, including agricultural input support and technical advisories. • Provide technical support for forecast interpretation, trigger analysis, and anticipatory action planning processes under FAO-led initiatives. • Assist FAO-supported programmes with the pilot implementation, monitoring, and technical review of anticipatory actions in selected drought-prone districts. Main Task 4 Support FAO in enhancing national capacities and promoting long-term institutional sustainability through technical assistance, knowledge management, and capacity-strengthening activities. • Provide input and assist FAO-supported technical training programmes on drought indices, forecast interpretation, and management of forecast uncertainty. • Develop user guidelines, technical manuals, and knowledge products related to drought monitoring and anticipatory action systems. • Support the integration and operational use of drought monitoring and forecasting tools within the CROPIX platform and other FAO-supported systems. • Document lessons learned, good practices, and technical experiences to support knowledge management and contribute to roadmap development for scaling up anticipatory action initiatives. CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING Minimum Requirements • Advanced degree in agrometeorology, meteorology, climate science, agronomy, or environmental studies; • At least 5 years of relevant experience in public and/or private sectors in meteorology with sufficient background in climate/weather data, monitoring, and forecasts, and setting up of the climate information systems linking climate information providers and users in agricultural sector. • Working knowledge (level C) of English and Sinhala/Tamil • National of Sri Lanka FAO Core Competencies • Results Focus • Teamwork • Communication • Building Effective Relationships • Knowledge Sharing and Continuous Improvement Technical/Functional Skills • Demonstrated experience and good knowledge of national disaster risk management in including drought risk management; • Ability to interact tactfully and effectively with multiple institutional actors in diverse sectors and at diverse levels; • Proven capacity to conduct fieldwork and ability to work in teams and establish working relationships with central and local government institutions and civil society organizations; • Good command of computer skills (MS Word, Excel, Powerpoint, Internet); • Understanding of FAO policies and programme is considered a strong asset. • Good interpersonal skills with experience in networking with partners in Sri Lanka at all levels (Ministries, donors, private sector, NGOs, and local community-based organizations) • Experience working with preparing reports and presenting information visually. ADDITIONAL INFORMATION FAO does not charge a fee at any stage of the recruitment process (application, interview meeting, processing) Applications received after the closing date will not be accepted Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/ For additional employment opportunities visit the FAO employment website: http://www.fao.org/employment/home/en/ Appointment will be subject to certification that the candidate is medically fit for appointment, accreditation, any residency or visa requirements, and security clearances. FAO seeks gender, geographical and linguistic diversity in its staff and international consultants in order to best serve FAO Members in all regions. HOW TO APPLY • To apply, visit the recruitment website at Jobs at FAO and complete your online profile. We strongly recommend that your profile is accurate, complete and includes your employment records, academic qualifications, and language skills • Candidates are requested to attach a letter of motivation to the online profile • Once your profile is completed, please apply, and submit your application • Please note that FAO only considers higher educational qualifications obtained from an institution accredited/recognized in the World Higher Education Database (WHED), a list updated by the International Association of Universities (IAU) / United Nations Educational, Scientific and Cultural Organization (UNESCO). The list can be accessed at http://www.whed.net/. These qualifications should be in alignment with the International Standard Classification of Education (ISCED) mappings. • Candidates may be requested to provide performance assessments and authorization to conduct verification checks of past and present work, character, education, military and police records to ascertain any and all information which may be pertinent to the employment qualifications • Incomplete applications will not be considered • Personal information provided on your application may be shared within FAO and with other companies acting on FAO’s behalf to provide employment support services such as pre-screening of applications, assessment tests, background checks and other related services. You will be asked to provide your consent before submitting your application. You may withdraw consent at any time, by withdrawing your application, in such case FAO will no longer be able to consider your application • Only applications received through the FAO recruitment portal will be considered • Your application will be screened based on the information provided in your online profile • We encourage applicants to submit the application well before the deadline date. If you need help or have queries, please create a one-time registration with FAO’s client support team for further assistance: https://fao.service-now.com/csp FAO IS A NON-SMOKING ENVIRONMENT
Closure Date: 26/Jun/2026, 11:59:00 PM Organizational Unit: FASRL - FAO Representation in Sri Lanka Job Type: Non-staff opportunities Type of Requisition: NPP (National Project Personnel) Grade Level: N/A Primary Location: Sri Lanka-Colombo Duration: 125 WAE days
Food and Agriculture Organisation (FAO) of the United Nations
food and agriculture organization of the united nations
Description Position Details University of Colorado | Denver Faculty Level/Title: Lecturer Working Title: Lecturer in One Year MBA Program FTE: Part-Time Salary Range: $15,000 per 8-week course Position #00007640 - Requisition #39836 Join the University of Colorado Denver About the University of Colorado Denver Millions of moments start at CU Denver, a place where innovation, research, and learning meet in the heart of a global city. We're the state's premier public urban research university with more than 100 in-demand, top-ranked bachelor's, master's, and doctoral degree programs. We partner with diverse learners - at any stage of their life and career - for transformative educational experiences. Across seven schools and colleges, our leading faculty inspires and works alongside students to solve complex challenges and produce impactful creative work. As part of the state's largest university system, CU Denver is a major contributor to the Colorado economy, with 2,000 employees and an annual economic impact of $665 million. To learn more about how CU Denver helps learners meet their moment, visit ucdenver.edu. Job Description Applications are accepted electronically ONLY at www.cu.edu/cu-careers The Business School at the University of Colorado Denver (CU Denver) is seeking a Lecturer in the One Year MBA Program. Appointment will be part-time (less than 50% FTE) in a temporary, non-tenure-track position. Lecturer in One Year MBA Program What you will do: The Lecturer selected will teach Applied Economics for Managers for the Business School at the University of Colorado Denver. Classes taught will generally be limited to three credit hours. These may include lectures in all teaching modes (in person, hybrid, remote or online). Compensation is $15,000 for one 8-week course. Duties include delivery of tailored instruction to a variety of language and cultural backgrounds in accordance with prescribed curricular objectives and outcomes, preparing for each class ahead of time with balanced rigorous lesson plans, assessing student progress according to curricular objectives and outcomes, and adhering to program policies and procedures by reporting student offenses (plagiarism, cheating, absences, etc.). Qualifications Minimum Qualifications: Applicants must meet minimum qualifications at the time of hire. Master's or higher degree in finance or closely related field. Recent significant professional, technical, or managerial experience in the discipline related to the teaching assignment; at a minimum, significant experience is interpreted as at least five years of duties and responsibilities. Preferred Qualifications: An earned doctorate in a business or other discipline related to the person's teaching assignment or relevant terminal degree as reviewed and approved by the tenure and tenure track faculty of the Business School. Knowledge, Skills, and Abilities: Knowledge and proficiency in related discipline. Demonstrated interest in mentoring and teaching in related discipline. Ability to communicate effectively, both in writing and orally. Ability to demonstrate exceptional leadership qualities. Ability to effectively plan, establish and implement teaching goals and objectives independently without guidance and direction from other faculty. Ability to establish and maintain effective working relationships with employees at all levels throughout the institution. Ability to demonstrate relevance through sustained relationships with business via consulting or other significant professional, technical, or managerial experiences in the teaching discipline. Conditions of Employment Occasional work during the evening and/or weekends may be required. This position follows a hybrid work structure where employees can work remotely or from the office, as needed, based on demands of specific tasks or personal work preferences. Working from the office is encouraged when working on tasks that require a high degree of collaboration. Mental, Physical, and/or Environmental Requirements: The ability to sit for extended periods, stand and walk occasionally, reach with hands and arms, use hands to manipulate a keyboard and mouse, and have good near vision for computer work; often requiring minimal lifting, but may involve bending or reaching to retrieve items from shelves or drawers. CU is an Equal Opportunity Employer and complies with all applicable federal, state, and local laws governing nondiscrimination in employment. We are committed to creating a workplace where all individuals are treated with respect and dignity, and we encourage individuals from all backgrounds to apply, including protected veterans and individuals with disabilities. The University will provide reasonable accommodation to applicants with disabilities throughout the employment application process. To request an accommodation pursuant to the Americans with Disabilities Act, please contact the Human Resources ADA Coordinator at workplaceengagement@ucdenver.edu. Employment Sponsorship Please be advised that this position is not eligible now or in the future for visa sponsorship. Compensation and Benefits The salary range (or hiring range) for this position has been established at $15,000 per 8-week course The above salary range (or hiring range) represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting. This position is not eligible for overtime compensation. Your total compensation goes beyond the number on your paycheck. The University of Colorado Denver provides generous leave, health plans and retirement contributions that add to your bottom line. Benefits statement to include in all benefits-eligible positions. See Eligibility Matrix. Benefits Total Compensation Calculator Application Deadline Applications will be accepted until finalists are identified, and interviews begin. Preference will be given to complete applications received by May 13, 2026, 11:59:00 PM. Those who do not apply by this date may or may not be considered. Required Application Materials To apply, please visit: http://www.cu.edu/cu-careers and attach: A letter of application which specifically addresses the job requirements and outlines qualifications. A current resume/CV Please note that upon hire, applicants will be asked to provide original transcripts from their highest degree and two letters of reference. Please be advised that the University does check references as part of the employment process. Questions should be directed to Michaela Erickson, Michaela.erickson@ucdenver.edu. Background Check Policy The University of Colorado Denver strives to maintain a safe and productive educational, clinical, research and employment environment. All prospective employees and current employees must, therefore, consent to and pass background checks prior to any final appointment/employment. Qualifications Special Instructions to Applicants: Required Application Materials To apply, please visit: http://www.cu.edu/cu-careers and attach: A letter of application which specifically addresses the job requirements and outlines qualifications. A current resume/CV. Please note that upon hire, applicants will be asked to provide original transcripts from their highest degree and two letters of reference. Please be advised that the University does check references as part of the employment process. Questions should be directed to Michaela Erickson, Michaela.erickson@ucdenver.edu. Application Materials Required: Cover Letter, Resume/CV, List of References. Application Materials Instructions: Application Deadline Applications will be accepted until finalists are identified, and interviews begin. Preference will be given to complete applications received by May 13, 2026, 11:59:00 PM. Those who do not apply by this date may or may not be considered. Job Category: Faculty Primary Location: Denver Department: U0001 -- Anschutz Med Campus or Denver - 30055 - Business School Schedule: Part-time Posting Date: May 8, 2026 Unposting Date: May 14, 2026, 5:59:00 AM Posting Contact Name: Michaela Erickson Posting Contact Email: Michaela.erickson@ucdenver.edu Position Number: 00007640 To apply, please visit: https://cu.taleo.net/careersection/2/jobdetail.ftl?job=39836&lang=en jeid-e46c42afa2974c4d b70ab5dbd893be39
The University of Colorado Denver invites applications for a part-time Lecturer in the One Year MBA Program.
Non-Linear Panel Data Models in Stata - Live Online Training Course
COURSE DESCRIPTION Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies. The use of Panel Data in empirical studies also tends to result in a considerable improvement in the accuracy of the obtained estimates, since panel data sets usually contain more sample variability and higher degrees of freedom. Finally, panel data allows for the estimation of dynamic models, with causal relationships which may not arise instantaneously, but over a period of time. This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ non-linear micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. The focus is therefore on non-linear estimation techniques (more specifically Poisson, Probit, Logit and Tobit panel data models) and issues of sample selection and attrition. In common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course. TARGET AUDIENCE TStat Training’s Non-Linear Panel Data training course is of particular interest to Master and Ph.D. Students, researchers in public and private research centres and professionals working in the following fields: Agricultural Economics, Economics, Finance, Management, Public Health, and the Political and Social Sciences seeking to acquire the “introductory” applied and theoretical toolset to enable them to undertake independent empirical research using panel data. PREREQUISITES Participants are required to have a working knowledge of: the classical OLS regression model: Model Assumptions, Estimation and Inference; the arguments covered in TStat’s Linear Panel Data in Stata; the arguments illustrated in TStat’s course Analysis Micro Data in Stata; the statistical software Stata: including familiarity with Stata variable creation commands and Stata do files. Those needing to refresh these concepts are referred to the reading lists on the respective course pages and to: Cameron, A. C. & Trivedi, P. K. (2022). Microeconometrics Using Stata, Volume I: Cross-Sectional and Panel Regression Methods. Second Edition. Stata Press. Chapters: 1-9 PROGRAM The incidental parameter problem in non-linear models Poisson panel data models: poisson, xtpoisson - Random effects - Correlated effects (conditional poisson) Probit panel data models: probit, xtprobit, oprobit, xtoprobit - Random-effect models - Correlated effects modelled as group means (a la Mundlak) Logit panel data models: logit, xtlogit, ologit, xtologit - Random effects - Correlated effects (conditional logit) Tobit and interval regression models: tobit, xttobit, intreg, xintreg - Random effects - Correlated effects (modelled as group means (a la Mundlak) Postestimation analysis: - Average marginal effects: margins - Goodness-of-fit measures: predict SUGGESTED READINGS Cameron, A. C., & Trivedi, P. K. (2022). Microeconometrics Using Stata, Second Edition Volume I: Cross-Sectional and Panel Regression Methods, Stata Press Cameron, A. C., & Trivedi, P. K. (2022). Microeconometrics Using Stata, Second Edition Volume II: Nonlinear Models and Casual Inference Methods, Stata Press Woodridge, J. (2010). Econometric Analysis of Cross Section and Panel Data, MIT Press DATE AND LOCATION The 2026 edition of this training course will be offered online on a part-time basis on the 22nd, 26th-27th of May from 9:30 am to 1:00 pm CEST. REGISTRATION FEE AND REGISTRATION FORM Full-Time Students*: € 585.00 Ph.D. Students: € 750.00 Academic: € 830.00 Commercial: € 1100.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 12th of May 2026. To request further information or the registration form, please fill in the form on the TStat website, or send an email to training@tstat.eu
This course follows on from our Linear Panel Data Models in Stata course to offer the necessary theoretical background and the applied skills to enable participants to: i) independently employ non-linear micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered online on a part-time basis on the 22nd, 26th-27th of May.
BSE Competition Economics Courses - Executive Education
The 2025-2026 Academic Year is here! Explore the courses we have this year and subscribe to receive the latest news! Competition in Digital Markets | October 20-23, 2025 | CLOSED Explore the challenges of competition in fast-moving digital markets, including platforms, market power, and regulation. Quantifying Damages in Competition Cases | November 26-28, 2025 | CLOSED Learn methodologies to estimate and quantify damages in antitrust and competition cases, with practical applications. Competition Economics | March 9-13, 2026 | CLOSED Explore the latest competition economics, review key cases, and engage in debates on antitrust and regulation. Quantitative Methods for Competition Analysis | May 18-22, 2026 | Open for applications Master cutting-edge quantitative methods to analyze competition, market power, and anticompetitive practices. Discover our complete course lineup on our website, and check if your desired course is scheduled for the upcoming period. Why choose BSE Competition Economics Courses? Learn from the top minds in the field, including Prof. Massimo Motta and faculty with years of academic and regulatory experience. Master practical tools and techniques used by competition authorities, consultancies, and legal experts worldwide. Apply advanced methods and real case studies in areas like digital market regulation, merger analysis, and damage quantification. Designed for immediate impact—put your new skills to work as soon as you return to your organization. Flexible delivery (online or in-person), while maintaining a rich, engaging learning experience. Courses are short and intensive, perfect for busy professionals seeking high-value learning in a compact format. "The courses we offer at the Barcelona School of Economics are the result of careful design informed by leading academics, senior professionals, and years of experience and interactions with participants. The knowledge you’ll take away includes the latest research, tools, and cases, and you will use it in your day-to-day practice. I don’t think you’ll find any other course out there that can beat this combination." - Massimo Motta Who Takes These Courses? Competition and antitrust authorities from around the globe Leading consulting firms, including Copenhagen Economics, E. CA Economics, RBB Economics, and Deloitte International organizations like OECD and World Bank Top-tier companies and institutions BSE: Academic Excellence with Real-World Impact Courses are designed and delivered by members of a research community ranked among the Top 5 in Europe and Top 12 globally (RePEc, March 2025). Trusted by global organizations to train teams with the latest in competition economics. Build the skills, tools, and insights you need to address today’s most pressing competition and regulation challenges.
Advance your expertise with the BSE Executive Courses in Competition, Markets, and Regulation—a series of short, intensive programs designed for professionals and economists working in competition policy, regulation, and related fields. Delivered in-person or online, these courses combine academic rigor with practical insight to provide skills you can apply immediately. Led by Prof. Massimo Motta, former Chief Competition Economist at the European Commission, and supported by a world-class faculty of top international scholars and practitioners, each course is structured around real case work, interactive sessions, and cutting-edge research.
The PhD in Economics at the University of Barcelona is addressed to students interested in pursuing advanced study and conducting original research in economics, offering research training and close supervision by faculty members prominent in their fields. We provide a dynamic and stimulating environment offering weekly research seminars, PhD seminars, workshops, conferences, courses and research activities in which students are invited to participate. Overview of the course Students enrolled in the programme will be assigned one or two supervisors specialised in their chosen research field. Throughout the programme, students are required to participate in a number of complementary activities. These include research seminars, workshops, courses and conferences. PhD candidates are also encouraged to publish their research and to seek temporary research placements at other universities or research institutions. The programme prepares PhD students for the academic job market. Former PhD students have been placed in academic research institutions in the US and Europe such as Toulouse School of Economics (France), Uppsala University (Sweden), Università degli Studi di Milano (Italy), KU Leuven (Belgium), University of Bath (UK), Bruegel (Belgium), Eurac Research (Italy), PUC-Rio (Brasil), London School of Economics (UK), Korea University (South Korea), Universidad Carlos III (Spain), Institue of Economics – Hungarian Academy of Sciences (Hungary), Booking (Netherlands), Yale University (US), University of Sussex (UK)… As well as international organizations and governmental institutions. Financial support Information on funding and grants is available at the following link to the webpage of the University of Barcelona. In addition, the University of Barcelona provides students with information on new opportunities as and when calls are announced. Our admissions team collaborates closely with admitted students requiring financial assistance. We assist them in evaluating their options and eligibility, providing support throughout the application process for full PhD scholarships. Study Options: Full-Time (4 years) / Part-Time (7 years). All students might request a one-year extension. Application requirements Master’s degree in Economics with a satisfactory average grade, a solid foundation in economics and analytical skills (advanced Microeconomics, Macroeconomics, Econometrics and Mathematics), field courses and a research Master Thesis. Proof of proficiency in English. Unless you are a native English speaker or have undertaken a university study programme in English, you need to provide evidence of your English proficiency. Preferred certificates are the Cambridge, TOEFL (Code C085 for all UB School of Economics programmes) or IELTS. Please upload a copy of it in the application form. Additionally, you can also report the score to us directly via your test center. References. As part of the application procedure, you will need to fill in a form to provide us with the name and contact email of two scholars that support your application. They will receive an automated email, and they will be able to choose between answering three short questions about your profile or attaching a recommendation letter.
The University of Barcelona (UB) offers you the opportunity to undertake research in a wide range of fields of economics taking part of an international PhD programme in the vibrant city of Barcelona. The PhD in Economics has been accredited with Excellence after an exhaustive and rigorous external evaluation by the Catalan University Quality Assurance Agency (AQU), which acknowledges the quality and impact of the research carried out within the PhD framework.
UB School of Economics, University of Barcelona
What to expect How can we achieve a more sustainable overall global welfare? By transforming a system that largely neglects the effects of production and consumption on nature and the environment into an all-inclusive system. That is exactly what we will prepare you for during this programme. Get ready to thrive in a world drowning in data and starving for knowledge! What makes this programme unique? Sustainable approach: This master’s contributes to a sustainable future through an economic approach. Practical solutions: The programme aims to contribute to finding practical solutions. Multidisciplinary: This master’s programme focuses on the interactions between economic actors and the natural environment. Policy impacts: Strong emphasis on climate policy, circular economy, and resource use. What you will learn In the two-year master’s in Economics of Sustainability programme, you will explore the relationship between economic activity and the natural environment. You’ll be trained as a quantitative economist, equipped to analyse challenges in food systems, natural resources, and the living environment, and to design economic solutions that drive sustainable transitions. You will: Learn about quantitative economic techniques and relevant theories at micro, behavioural, and institutional levels. Learn about the economic aspects of pressing issues like climate change, environmental degradation, and sustainable markets. Learn to analyse and interpret diverse sources of data to provide evidence on real-world questions related to food systems, environmental load, and economic development. Learn to evaluate policies and contribute to practical solutions for a more sustainable future. You will learn how to apply your quantitative skills to real world problems and contribute to the finding of practical solutions. IMPORTANT: You will not learn about the biology and technical aspects of environmental problems. For more detailed information on this programme's profile and learning outcomes, visit the Study Handbook. Study Programme General information The Master's in Economics of Sustainability focuses on economic analysis of sustainability issues like climate change, food production, and economic development. The education has a multidisciplinary character by its relation with environmental, agricultural, and food sciences. You will receive the official diploma of the Master’s in Management, Economics and Consumer studies, specifying a Master's in Economics of Sustainability. The programme runs annually beginning in September each year. It comprises 120 credit points (ECTS), equivalent to two academic years. The academic year consists of 6 periods. Period 1,2,5 and 6 comprise six weeks of classes, one week of self-study and the exam week. In these periods, students often follow two courses worth 6 credits each. Period 3 and 4 entail of four weeks in which both the lectures and the exams take place. In these periods, students follow one course worth 6 credits. The expected workload is 40 hours per week. Year 1 Programme specific courses (30 ECTS) The programme courses deal with subjects like: Rethinking Economics Advanced Econometrics Economic Modeling of Sustainability Challenges Philosophy, Ethics, and Economics Behavioral Economics and Sustainability Political Economy, Economics of Development Economics of EU Policies for Sustainable Transitions Economics of Sustainable and Fair Use of the Environment and Natural Resources. Academic Master Cluster (12 ECTS) In the Academic Master Cluster, teams of 5 to 7 students from different disciplines are assigned to execute a transdisciplinary-oriented academic consultancy project for an external commissioner. Electives (18 ECTS) The space for electives can be used for deepening or broadening knowledge on the field of interest of each individual student. Year 2 Thesis (36 ECTS) The thesis (individual research) consists of 24 weeks of research and reporting (36 credits). The research is conducted under supervision of a staff member of one of the chair groups related to this master programme. Internship (24 ECTS) The internship consists of 24 credits of project work in an institution outside of Wageningen University. The internship may either be undertaken in the Netherlands or abroad. The purpose of the internship is to provide students with a unique learning opportunity to apply acquired knowledge and skills in a professional setting. The experience gained from the internship also serves to help students focusing on their area of interest, as well as building confidence and maturity in their field. Teaching methods The programme includes: Lectures: the lecturer presents and explains the course material. Tutorials: you work individually or in small groups on an assignment. Labs: mainly computer-based sessions where you apply economic and statistical models. Problem-Based Learning (PBL): you collaborate with a group and a supervisor to solve a case study. Self-study: dedicated time for independent study, both within and outside your timetable. Study guidance At WUR, we place great importance on personal guidance and connection. That’s why we provide more support staff—lecturers, study advisors, and student counsellors—than most other universities in the Netherlands. This ensures you receive the attention you need to progress successfully through your studies, lowering the risk of dropping out while enriching your academic journey with a personal touch. It’s a clear reflection of our genuine commitment to your success. Discover WUR Experience our programmes, student life and the campus through an open day or study choice activity. Open Days & activities Application & admission Would you like to apply for a master's programme at Wageningen University & Research? Read all about what you need to know here. Questions about this study? Do you have any questions regarding the master Economics of Sustainability? Don't hesitate to contact the study adviser anytime! Contact: Study adviser Economics of Sustainability Sietse Sterrenburg SEND AN EMAIL Discover all Master's programmes at Wageningen University & Research: Programme Overview
In the two-year master’s in Economics of Sustainability programme, you will explore the relationship between economic activity and the natural environment. You’ll be trained as a quantitative economist, equipped to analyse challenges in food systems, natural resources, and the living environment, and to design economic solutions that drive sustainable transitions.
Global School in Empirical Research Methods GSERM at the University of St.Gallen
We welcome Master, PhD students, Post-Docs and also professionals from all kinds of study fields and industries focusing on qualitative and quantitative methods. You enhance your skills in block seminars taught by world-class faculty amongst an international crowd of participants. At different locations in Europe, we offer courses in quantitative and qualitative research methods. Participants choose one course per week worth 4 ECTS, network with fellow researchers, and enjoy an interesting cultural and social programme. The GSERM Summer School 2026 will take place in the SQUARE, the space for new ways of learning at the University of St.Gallen. You are invited to get more information on our website gserm.org. Summer Session: Course Dates: 04 - 26 June 2026 Early Bird Deadline: 28 February 2026 Final Deadline: 30 April 2026 Autumn Session: Course Dates: 12 – 26 October 2026 Application Deadline: 30 September 2026 Courses are offered from basic up to advanced level. All courses are taught in English. Download GSERM Flyer Master/PhD Students Download GSERM Flyer Post-Docs/Practitioners View the complete course table: Course table - University of St.Gallen – GSERM Sign up to our mailing list to get all the important news for the different GSERM schools. Subscribe now!
Boost your Analytical Skills. The GSERM Global School in Empirical Research Methods is a high-calibre integrated generic programme on methodology launched by the University of St.Gallen.
Multidisciplinary Education Research Grant – 2nd edition
Multidisciplinary Education Research Grant – 2nd edition Target: Students and researchers Category: Research support Deadline: by 11:59 p.m. (CET) on 30 April 2026 Announcement: Winners announced by 20 July 2026 The call supports a selected number of multidisciplinary research programs in the field of education, with the aim of promoting innovative, high‑impact projects that can contribute to improving educational systems in the countries within the UniCredit perimeter*. This is a field‑initiated program: applicants have full freedom in defining research topics, disciplines, methodologies, and approaches, with the sole requirement that they address relevant educational challenges through projects capable of generating concrete and applicable impact. The competition is open to researchers and professionals of any nationality, affiliated with universities, research institutions or organizations worldwide. Grant Details Number of grants: between 2 and 5 Amount per grant: €100,000 – €250,000 (gross) Total funding available: €500,000 (gross) Duration: up to 3 years Eligibility Projects will be considered eligible if they: contribute to improving education are carried out in at least one country within the UniCredit perimeter have a clearly scientific nature (training activities, curriculum design, capital projects, software development, fellowships, etc. are excluded) are led by a Principal Investigator (PI) and, where applicable, one or more Co‑Principal Investigators (Co‑PI), all holding a doctoral degree (PhD) Key Dates Application submission deadline: 30 April 2026, by 11:59 PM Central European Time (CET) Announcement of winners: by 20 July 2026 Apply here Download the regulations *UniCredit Perimeter: Bulgaria, Germany, Bosnia & Herzegovina, Serbia, Slovakia, Czechia, Poland, Romania, Austria, Croatia, Hungary, Slovenia, Italy
UniCredit Foundation announces the opening of the Multidisciplinary Education Research Grant – 2nd edition.
The MSc Economics and the MSc Quantitative Economics for Sustainability at Leipzig University are research-oriented master’s programs that offer rigorous training in economics (microeconomics, macroeconomics and econometrics), with a strong emphasis on analytical, quantitative and evidence-based approaches. The MSc Economics prepares students to analyse economic relationships in a profound manner, assess data using statistical software such as R or Stata, and develop scientifically grounded solutions to complex economic problems. Modules include, for example, Advanced Public Economics, Applied Topics in Monetary Economics or Time Series Analysis for Macroeconomics and Finance. Students have the option to specialise in Economic Policy or Quantitative Economics, allowing them either to deepen their understanding of applied economic policy or to build strong expertise in empirical and quantitative methods. The MSc Quantitative Economics for Sustainability (QuESt) explores pathways for the sustainability transition of the economy by means of quantitative economic methods. The major sustainability challenges are analyzed in modules such as Climate Economics, Biodiversity Economics, Environmental Economics, and Institutional Economics of Sustainability Transitions. Methodological skills include data-driven approaches of econometrics and statistics as well as economic and integrated economic-climate and ecological-economic modeling. QuESt offers interdisciplinary interfaces, with optional modules from climate and biodiversity science. What we offer The two study programs have an international and research-oriented profile. Each of the master’s programmes can be studied entirely in English, includes the option of a semester abroad, and offers further international opportunities such as study options at Keio University in Tokyo or a double degree with Université Paris 1 Panthéon-Sorbonne for highly qualified students. In addition, students may complete a research internship in which they work on their own research project under the supervision of a professor and a research institute. Career prospects Graduates are well prepared for careers in the private sector such as banks or business consulting agencies, public administration including ministries and central banks, research institutions, and international organisations or NGOs. Depending on their chosen specialisation, the programme also provides a strong basis for doctoral study and an academic career. Our department The Economics (VWL) group of the Faculty of Economics and Management Science provides a great research environment focusing on policy-relevant research questions in the fields of macro- and microeconomics, statistics and econometrics, environmental economics, public finances as well as money, credit and banking. We are a young and research-oriented department and have the objective of training students in state-of-the-art empirical methods and stimulating discussion about current topics related to economic policy. We value the link between theory and empiry as well as the transfer of research to policymakers and the broader public. Leipzig University and city of Leipzig Leipzig University is committed to excellence, acting sustainably, positioning itself as connected and outward-looking, acting dynamically and innovatively. The city of Leipzig is a vibrant city in Eastern Germany, close to Berlin (ca. 1h by train) and Frankfurt (ca. 3h by train). Leipzig offers plenty of cultural activities and pristine parks, can be explored from the water due to its canals and lakes, and is shaped by its rich history. Living costs are moderate compared to other German cities with similar quality of life. More information MSc Economics MSc Quantitative Economics for Sustainability
Master programs in Economics at Leipzig University: MSc Economics or MSc Quantitative Economics for Sustainability (QuESt)
2026 Best Paper Awards on Gender Economics - Two Prizes worth €2500 each
The competition is open to researchers from European countries within the UniCredit geographical area, with the aim of rewarding outstanding scientific contributions on topics related to Gender Economics. Among the two prizes available, one will preferably be awarded to a paper with a focus on Education. Grant Details UniCredit Foundation awards 2 prizes aimed at recognizing and promoting innovative and high‑quality research in the field of Gender Economics. The prizes are open to researchers born after 1990, authors of papers not published before 2025. Total value: €2,500 gross for each winning paper Key Dates Application submission deadline: 15 May 2026, by 11:59 PM Central European Time (CET) Announcement of winners: by 30 June 2026
UniCredit Foundation announces the launch of the “Best Paper Award on Gender Economics” – 16th Edition (2026).
Linear Panel Data Models in Stata - Live Online Training Course
COURSE DESCRIPTION Panel data analysis is increasingly used in econometrics, financial analysis, public health, political and social sciences, since it enable researchers to allow for different types of latent heterogeneity between observations. Allowing researchers for example, to control for variables that cannot be directly observed or measured, such as cultural factors or differences in business practices across companies. The use of Panel Data in empirical studies also tends to result in a considerable improvement in the accuracy of the obtained estimates, since panel data sets usually contain more sample variability and higher degrees of freedom. Finally, panel data allows for the estimation of dynamic models, with causal relationships which may not arise instantaneously, but over a period of time. This introductory course offers participants the opportunity to acquire the necessary theoretical background and the applied skills to enable them to: i) independently employ micro panel data techniques to their own research topics, and ii) to understand and evaluate micro panel data analyses published in the academic literature. This course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques include: fixed and random effects models; robust inference and instrumental-variables estimators. In common with TStat’s training philosophy, each individual session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained), and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced by case study examples, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. The intuition behind the choice and implementation of a specific technique is of the utmost importance. In this manner, the course leader is able to bridge the “often difficult” gap between abstract theoretical methodologies, and the practical issues one encounters when dealing with real data. At the end of the course, participants are expected to be able to autonomously implement the theories and methodologies discussed during the course. TARGET AUDIENCE The panel data training course is of particular interest to Master and Ph.D. Students, researchers in public and private research centres and professionals working in the following fields: Agricultural Economics, Economics, Finance, Management, Public Health, and the Political and Social Sciences seeking to acquire the “introductory” applied and theoretical toolset to enable them to undertake independent empirical research using panel data. PREREQUISITES Participants are required to have a good working knowledge of: the classical linear regression model: Model Assumptions, Estimation and Inference; and the statistical software Stata: including familiarity with Stata variable creation commands and Stata do files. Those needing to refresh these concepts are referred to: Cameron, A. C., & Trivedi, P. K. (2022). Microeconometrics Using Stata, Second Edition Volume I: Cross-Sectional and Panel Regression Methods, Stata Press. Chapters 1-9 PROGRAM SESSION I: INTRODUCTION Panel data: benefits for estimation and inference Preliminary commands: xtset, xtdescribe SESSION II: LINEAR PANEL DATA MODELS WITH EXOGENOUS VARIABLES One-way and two-way fixed effect estimators: xtreg, fe Random Effects Estimators: xtreg, re, xtmixed SESSION III: LINEAR PANEL DATA MODELS WITH EXOGENOUS VARIABLES: ROBUST INFERENCE Robust covariance estimators The first-difference estimator Testing for non i.i.d. errors Testing Random Effects against Fixed Effects: non-robust approach using Hausman robust approach using Mundlak auxiliary regression (Wooldridge, 2010) SESSION IV: LINEAR PANEL DATA MODELS WITH ENDOGENOUS VARIABLES Fixed and Random Effect IV Estimators: xtivreg Hausman and Taylor’s estimator: xthtaylor USEFUL REFERENCES Cameron, A. C., & Trivedi, P. K. (2022). Microeconometrics Using Stata, Second Edition Volume I: Cross-Sectional and Panel Regression Methods, Stata Press Cameron, A. C., & Trivedi, P. K. (2022). Microeconometrics Using Stata, Second Edition Volume II: Nonlinear Models and Casual Inference Methods, Stata Press Woodridge, J. (2010). Econometric Analysis of Cross Section and Panel Data, MIT Press DATE AND LOCATION The 2026 edition of this training course will be offered online on a part-time basis on the 23rd-24th, 28th-29th of April from 9:30 am to 1:00 pm CEST. REGISTRATION FEE AND REGISTRATION FORM Full-time Students*: € 780.00 Ph.D. Students: € 1000.00 Academic: € 1160.00 Commercial: € 1555.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 13th of April 2026. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
This course focuses on the linear model techniques adopted for the analysis of a typical micro panel-data set with a large number of individuals and a small number of time periods. Such techniques include: fixed and random effects models; robust inference and instrumental-variables estimators. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered online on a part-time basis on the 23rd-24th, 28th-29th of April.
Research Grant on Education - One Grant worth €200,000
The call is open to researchers of any nationality and university, holding a Ph.D. in Economics or related fields. The goal is to support academic research projects that contribute to improving education in countries within the UniCredit perimeter, promoting rigorous and innovative studies capable of addressing the most pressing challenges in the educational field. Grant Details UniCredit Foundation will award one research grant to projects that generate knowledge with a lasting impact on education. Methodological diversity, multidisciplinary teams, and collaboration with communities and educational practices are strongly encouraged. Priority will be given to research focused on students aged 11 to 19 (lower and upper secondary school). Total amount: €200,000 (gross) Duration: 3 years Eligibility Requirements Proposals to this Research Grant on Education program must be for academic research projects that aim to study education, contributing to the improvement of education in any country of the UniCredit Group perimeter1. Preference will be given to research targeted to young people in the 11-19 age group (lower and upper secondary school) and focused on: • tackling school dropouts • assessing the effects of early tracking • defining the scope for remedial education and evaluating tutoring programs for disadvantaged children • identifying appropriate orientation programs for the school careers and the job market. Proposals for activities other than research are not eligible (e.g., professional development, curriculum development, scholarships, capital projects). Proposals for research focused on areas other than education are not eligible. Proposals that focus on countries outside the UniCredit perimeter are not eligible. Principal Investigators (PIs) and Co-PIs applying for this grant must have a Ph.D. in Economics (or related academic fields). Graduate students may be part of the research team but cannot be the main PI of the proposal. Nationality of the applicants is not relevant as an eligibility requirement. Proposals must be submitted in English. If projects have already received funds from other sources, this must be declared in the application. Projects proposed may not span over 3 years in duration and may initiate from July 2026. Key Dates Application submission deadline: 2 April 2026, by 11:59 PM Central European Time (CET) Announcement of winners: by 15 May 2026 How to apply Applications must be submitted exclusively through the online application platform, accessible via the “Apply” button located above this section. Applications submitted via other methods or after the deadline will not be considered. The full list of required documents is detailed in the official call for applications. Applicants are strongly encouraged to read the document carefully before starting the application process. Application Procedure Click on the “Apply” button to access the online application portal. First-time users will need to register by following the guided procedure. Upon registration, a confirmation email will be sent. Click the link in the email to activate your account. The application can be saved, edited, and updated multiple times before final submission. Ensure all required documents are uploaded in PDF format as specified in the official call. Submit your application only when it is complete in every part. Once submitted, no further changes or additions will be possible. UniCredit Foundation UniCredit Foundation is the corporate foundation of the UniCredit Group, established to strengthen the Group’s commitment to creating social value in the communities where it operates. It is a non-profit, independent entity, fully funded by UniCredit. The Foundation promotes initiatives in the fields of education, research, and social solidarity, with a strong focus on young people and social inclusion. It supports high-impact projects, scholarships, research awards, and partnerships with academia and the non-profit sector, helping to reduce inequalities and foster talent. To know more about UniCredit Foundation, please check the website www.unicreditfoundation.org 1 Unicredit Perimeter: Austria, Bosnia and Herzegovina, Bulgaria, Croatia, Czech Republic, Germany, Hungary, Italy, Poland, Romania, Slovakia, Slovenia, Serbia
UniCredit Foundation announces the launch of the 4th edition of the “Research Grant on Education” competition.
Principal Investigators (PIs) and Co-PIs applying for this grant must have a Ph.D. in Economics (or related academic fields). Graduate students may be part of the research team but cannot be the main PI of the proposal.
Joachim Herz Award for Early Career Researchers
Are you working on an interdisciplinary research and transfer project into how we can use water smarter? Water is an indispensable resource. It is essential for ecological systems, human health, as well as agricultural and industrial production. However, climate change, overuse, and persistent pollutants threaten the availability of clean water and at the same time turn it into into a potential threat. Addressing these challenges requires innovative approaches that are grounded in excellent scientific research, while also demanding individual risk-taking, societal capacity for action, and entrepreneurial initiative. Call for Applications The Joachim Herz Award supports individuals whose economics-related projects transcend disciplinary boundaries and creatively integrate approaches from other fields in order to develop pioneering solutions into how we can use water smarter. In addition to a distinct connection to the topic of water, the submission should outline – based on the underlying research project – a transfer initiative that advances implementation in business, society, and/or policymaking. The call is open to research projects that apply economic thinking to the sustainable and innovative management of water, while explicitly integrating insights from other disciplines and translating research into practical solutions. Relevant projects may, for example, examine how economic incentives and efficiency mechanisms can be designed to reduce water consumption, such as through efficiency standards or pricing schemes for water-intensive industries. Other projects might focus on water as a public good, exploring innovative governance arrangements, including participatory governance models or multi-stakeholder approaches that improve coordination and accountability across actors. Further research areas include digital and urban innovations that enhance water resilience, such as integrated urban planning concepts like sponge cities that combine technological, ecological, and economic perspectives. Research may also address the financing and governance of nature-based solutions for water management, for instance by developing and evaluating innovative instruments such as water funds or nature credit systems. In addition, projects can focus on innovations that improve water quality and safety, including economic and regulatory approaches to managing persistent pollutants such as PFAS or microplastics. Finally, the call welcomes research on innovation and entrepreneurship in the water sector, for example studies on the emergence, scaling, and impact of start-ups and new business models in the water economy. Funding The Joachim Herz Award is endowed with €500,000. The funding must be used exclusively for the research project described in the application. Eligible expenses include, among others, personnel, material, and infrastructure costs, as well as travel expenses and pre-competitive transfer activities. Institutional administrative overhead costs are excluded. The funding will be transferred to the institution at which the award recipient is employed at the time the award is granted. Selection Process & Award Ceremony Applications are submitted by individual applicants (collaboration partners from academia and practice are welcome). The jury preselects a shortlist of three nominees. The shortlisted candidates present their projects in a pitch at the Joachim Herz Foundation in Hamburg. This is followed by a confidential selection meeting of the jury. The public award ceremony will take place on September 3, 2026, in Hamburg. Prize money: €500,000, project-related for a period of three years. Timeline Online-Info-Session: February 4, 2026, 1:30 p.m. (For registration follow mentioned link) Nomination of shortlist: May 2026 Jury selection meeting including presentation of shortlisted candidates: June 10, 2026 Contact Please direct all inquiries to jhpreis@joachim-herz-stiftung.de.
We're looking to award €500,000 euros in prize money to a promising scientist who demonstrates outstanding potential in the field of economics and whose interdisciplinary, socially-relevant research project points the way to a more sustainable future.
The award is designated for early-career scientists who have obtained a doctorate in economics or business administration, are engaged in interdisciplinary and applied research, work at a German university or non-profit research institution, and have a relevant research background.
PhD Program in Economics - 6 Fully Funded Scholarships
The PhD in Economics at Luiss Guido Carli is a four-year program providing advanced education in all the main areas of economics. The program is fully funded and provides all students a scholarship for four years. It requires full-time attendance and is taught in English. Our program is designed to give students the ability to understand and solve a broad spectrum of economic problems and to impart training in cutting-edge analytical, empirical, and quantitative techniques. Students acquire the necessary skills to undertake both academic and professional careers, in universities, international research institutions, public authorities, central banks, consulting and financial institutions. In the first and second year, students follow advanced topic courses covering quantitative methods (mathematics and statistics), computer programming and all the main areas in Economics: Applied Microeconomics, Macroeconomics, Econometrics and Finance. The third and fourth years are devoted to writing the doctoral dissertation. Reading groups, workshops and seminars are also part of the learning activities. See here for further informations. The program is coordinated by Prof. Pietro Reichlin and governed by the Academic board bringing together an international group of scholars, among members of the department as well as professors from other institutions. The PhD Coordinator and the Academic Board are supported by the program’s PhD tutor and the colleagues in the University’s PhD office. Luiss has reached an agreement with the Einaudi Institute for Economics and Finance (EIEF) and the Department of Economics and Finance of Tor Vergata for a joint study program. Hence, all students have access to a rich and diversified portfolio of courses and seminars. Every year, three students, among those admitted to the Luiss PhD, are selected to be part of the Rome Economics Doctorate (RED), a joint program and degree co-organized by EIEF, Luiss and Tor Vergata. Although all the courses offered within the RED are accessible to all PhD students at Luiss, the RED students have a privileged access to the EIEF facilities and are subject to some extra restrictions related to their study program. Any information about the RED program can be found in the dedicated webpage. The Handbook of the PhD in Economics for the Academic Year 2021/2022 can be found here. The Call for Applications closes at 16:00 (CET), UTC+1 on 13 March 2026. APPLY NOW HERE As part of their applications, prospective PhD candidates need to submit a detailed research proposal, setting out the research puzzle, analytical approach and intended methodological choices, together with a CV, references, and other documents.
Academic year 2026/27 cycle XLII We invite applications for 6 fully funded PhD scholarships (one out six provides an additional financial support for international candidates) for the a.y. 2026/2027.
PhD Program in Management - 11 Fully Funded Scholarships
The Luiss PhD Program in Management is a 4-year program aimed at training high-potential scholars in the fields of strategy, organization, innovation and marketing. By offering methodological and epistemiological core courses followed by specialized courses and seminars in the majors of Strategy/Innovation, Organization and Marketing, the program puts candidates in a position to be craft top-quality research and be competitive for the international academic job market of the highest level. In their first year, our students attend ten common compulsory courses and three courses in the major chosen. In the second year, our students attend three additional courses in their major and start developing their own research. The third and fourth years are entirely dedicated to research and dissertation development. Along the journey students are also offered a series of research seminars that complement their training. The program foresees a very rigorous dissertation supervision process. Faculty members and dissertation supervisors are leading scholars in their fields and boast several top journal publications. The Call for Applications closes at 16:00 (CET), UTC+1 on 13 March 2026. Apply Now Here As part of their applications, prospective PhD candidates need to submit a detailed research proposal, setting out the research puzzle, analytical approach and intended methodological choices, together with a CV, references and other documents.
Academic year 2026/27 cycle XLII We invite applications for 11 fully funded PhD scholarships (one out elevent provides an additional financial support for international candidates) for the a.y. 2026/2027.
Maximising the Potential of Stata’s new Python Capabilities - Live Online Course
COURSE DESCRIPTION TStat’s “Maximising the Potential of Stata’s New Python Capabilities” course offers participants an excellent opportunity to acquire the introductory programming skills required to integrate Python’s capability into Stata. The course opens with an introductory session focusing on the Python programming basics required by users wishing to exploit the Stata – Python connectivity, before moving on to illustrate how to use Python in a Stata environment and the vice versa. In the closing session a series of practical applications will be discussed in order to highlight WHEN and HOW one should exploit the connectivity between Python and Stata for one’s research. At the end of the course, participants are expected to be able, with the aid of the Stata routines implemented during the sessions, to independently implement the methodologies and techniques illustrated during the course by adopting the Stata routines to their own particular research needs. In common with TStat’s training philosophy, each session is composed of both a theoretical component (in which the techniques and underlying principles behind them are explained) and an applied (hands-on) segment, during which participants have the opportunity to implement the techniques using real data under the watchful eye of the course tutor. Throughout the course, theoretical sessions are reinforced using applied case studies, in which the course tutor discusses and highlights potential pitfalls and the advantages of individual techniques. TARGET AUDIENCE This course is of particular interest to sociologists, mathematicians, economists, ethnologists, epidemiologists and political scientists wishing to acquire the basic tools necessary to use Python routines within Stata. PREREQUISITES Participants should having a working knowledge of Stata. No prior knowledge of Python is necessary, although it will be an advantage. PROGRAM The potential of Stata/Python connectivity: an overview Python programming basics Alternative ways to implement Python in Stata: the PyStata Module Calling Python from within Stata Calling Stata from within Python Mata/Python integration Practical examples Stata integration of Python Scikit-learn for Machine Learning Least squares regression in Mata/Python Stata/Python data visualization DATE AND LOCATION The 2026 edition of this training course will be offered online on a part-time basis on the 9th-10th of April from 9:30 am to 2:00 pm CEST. COURSE LEADERS Dr. Giovanni Cerulli IRCrES-CNR Research Institute on Sustainable Economic Growth National Research Council of Italy – Rome REGISTRATION FEE AND REGISTRATION FORM Full-Time Students*: € 325.00 Ph.D. Students: € 425.00 Academic: € 770.00 Commercial: € 900.00 *To be eligible for student prices, participants must provide proof of their full-time student status for the current academic year. Our standard policy is to provide all full-time students, be they Undergraduates or Masters students, access to student participation rates. Part-time master and doctoral students who are also currently employed will however, be allocated academic status. Fees are subject to VAT (applied at the current Italian rate of 22%). Under current EU fiscal regulations, VAT will not however applied to companies, Institutions or Universities providing a valid tax registration number. The number of participants is limited to 8. Places will be allocated on a first come, first serve basis. The course will be officially confirmed, when at least 5 individuals are enrolled. Course fees cover: I) teaching materials – copies of lecture slides, databases and Stata programs specifically developed for the course; ii) a temporary licence of StataNow™ valid for 30 days from the day before the course commences. Individuals interested in attending this course must return their completed registration forms by e-mail to TStat by the 31st of March 2026. To request further information or the registration form, please fill in the following form or send an email to training@tstat.eu
The course opens with an introductory session focusing on the Python programming basics required by users wishing to exploit the Stata – Python connectivity, before moving on to illustrate how to use Python in a Stata environment and the vice versa. TStat Training’s live online training courses are offered interactively via Zoom with a qualified trainer in real-time. All materials (slides, datasets and Stata routines specifically developed for the course) are made available for download before the start of the course. The 2026 edition of this training course will be offered online on a part-time basis on the 9th-10th of April from 9:30 am to 2:00 pm CEST.
Doctoral Programs in Accounting, Finance and Taxation – 12 doctoral positions
Qualified graduates are encouraged to apply for the full-time doctoral programs at the Center for Doctoral Studies in Business (CDSB) starting in September 2026. Benefit from internationally recognized teaching and unique interdisciplinary training across the boundaries of the economic and social sciences according to your research interests. Engage with the outstanding faculty of our triple accredited Business School (AACSB, EQUIS, AMBA). Doctoral Degree in Accounting Our program in Accounting provides students with core competencies in methods of analytical, empirical, and data-analytics research as well as a profound knowledge of the relevant institutional details in the fields of Financial Accounting, Managerial Accounting as well as Sustainability/ESG reporting and management. The program offers links to other academic disciplines and integrates them into a coherent curriculum conforming to top international standards. We frequently offer students research visits abroad at later stages of the program. We have a persistent record of placing our graduates at top schools, including leading U.S. universities. Doctoral Degree in Finance Our program in Finance covers research fields such as Asset Pricing and Asset Management, Corporate Finance and Corporate Governance, Behavioral Finance, Market Microstructure and others. It provides students with core competencies in analytical and empirical research methods as well as a thorough knowledge of modern tools from areas like machine learning and NLP that recently became more important in our field, while offering links to other academic disciplines. The focus of the program is on empirical research and we offer access to a large array of databases. We encourage and support research visits and our students are intensively prepared for the academic job market, where we regularly place our students at top schools around the world. Doctoral Degree in Taxation Our program in Taxation is integrated with the Leibniz Science Campus Mannheim Taxation bundling the expertise in tax research across the disciplines of public economics and business taxation. The program provides students with core competencies in analytical and empirical research including methods such as machine learning or NLP. After the initial course phase, doctoral students have the opportunity to integrate with research teams at the University or at the ZEW Leibniz Centre for European Economic Research. We encourage and support research visits abroad. Our students are thoroughly prepared for the academic job market and we frequently place our graduates at top universities. DISCOVER GESS All doctoral programs in English. Modern doctoral education with a structured course program and skills courses in teaching, academic writing, and presenting. Guaranteed funding for the duration of the program. Stimulating research environment. Work with outstanding faculty that persistently publishes in top academic journals. Research stays with partner universities worldwide. Access to major databases and excellent libraries. Modern offices and equipment. Boost your career options with a professional job market training. No tuition fees – government funded first-class education. The research findings of our students and graduates are regularly published in leading journals of the fields. Our graduates pursue careers both in academia and the private sector, taking up professorships, assistant professorships and postdoctoral positions at internationally renowned academic institutions and research positions at public institutions (government, central banks, international organizations). Excellent past placements include Stanford University, The Wharton School of the University of Pennsylvania, Illinois State University, Carnegie Mellon University, HEC Montréal, Aalto University, Aarhus University, Bocconi University, Erasmus University Rotterdam, NHH Norwegian School of Economics, Tilburg University, Washington University, University of Michigan, National University of Singapore, European Central Bank, Deutsche Bundesbank. APPLICATION DEADLINES Early Application Deadline: 15 January 2026 Final Application Deadline: 31 March 2026 Applications received by the early deadline will be considered for early admission. Unsuccessful applications in the early round will be reconsidered with all other applications after 31 March 2025. Only applications received via the online application tool will be considered. For more information on our programs and application requirements, please visit our website. Do not miss this unique opportunity to become part of a leading doctoral program and APPLY NOW!
We are now accepting applications for our fully funded doctoral degree programs! The Graduate School of Economic and Social Sciences (GESS) at the University of Mannheim offers outstanding opportunities for highly qualified students with strong quantitative skills and a passion for research to pursue their doctoral degree in Accounting, Finance or Taxation.
Graduate School of Economic and Social Sciences (GESS), University of Mannheim
Business Administration and Business Economics - Marketing - Accounting - Personnel Economics