Research Associate (f/m/d) in the Statistical Methods Group of the Institute for Employment Research (IAB), full time (1

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Type

Postdoc

Reference Number

2023_E_000366

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Prof. Dr. Jörg Drechsler

The Institute for Employment Research (IAB) is a research institution affiliated with the Federal Employment Agency (BA). As one of the leading institutions for labour market research in Europe, it also advises political actors and the professional public based on the latest scientific findings.

The Statistical Methods Group (KEM) is seeking two predoctoral candidates (full time positions) with a background in data science, statistics, computer science or a related area. The candidates will work in a large-scale collaboration project funded by the German Federal Ministry of Education and Research that aims at improving current privacy preserving techniques for integrated and georeferenced data.The project at the IAB will focus on developing and evaluating methods for generating synthetic data as a means for providing broader access to sensitive data.

The successful applicants will work in the Statistical Methods Group (KEM) of the IAB located in Nuremberg, Germany. The positions will start on April 3rd (alternative dates can be negotiated) and run until mid-November 2025. Both positions are full-time (39 hours per week). The IAB strongly encourages continuing education and the conducted research can be part of a planned Ph.D. thesis for a predoctoral student. Teaching opportunities are possible, but teaching is not required for the position.

The project at the IAB will focus on comparing synthetic data approaches from statistics and computer science. Additionally, the project aims at enhancing computer science approaches such as Generative Adversarial Networks (GANs) or autoencoders to offer higher analytical validity from an inferential statistics perspective.

The position will encompass the following tasks and duties:

  • Literature review on synthetic data approaches in computer science and statistics.
  • Implementation of various synthetic data approaches in Python or R. Enhancement of existing methods for data synthesis.
  • Identification and potential development of new suitable metrics to measure the risk of disclosure for synthetic datasets.
  • International presentations and preparation of manuscripts for publication in academic journals.
  • Labour market research using state-of-the-art methods.
  • Planning and implementation of complex projects, concepts, models or methods within the department.
  • Steering and monitoring of relevant research processes within the department.
  • Analysis and publication of research results.
  • Consulting relevant stakeholders.
  • Optional: initiating and leading (sub)projects.

Applicants must have a master’s degree in data science, statistics, computer science, economics, mathematics or an allied scientific discipline, substantive knowledge in empirical research methods, sound knowledge of statistical analyses, good programming skills in Python and/or R, a high level of self-reliance, and excellent verbal and written communication skills in English (German a plus). Knowledge in data confidentiality and data privacy is a plus, but not required. Full health care coverage is provided according to the German public health care insurance system.

Interested candidates should send (1) a cover letter that outlines their interest and suitability for the proposed research project, including how they meet the above selection criteria, their career goals, and academic qualifications; and (2) a CV that lists educational background, relevant work experience, and publications (if any). Questions about the positions may be sent to Joerg Drechsler at joerg.drechsler@iab.de

The deadline for applications is 2023/02/09. Review of applications begins as they are received and continues until both positions are filled. The official job description and application submission portal (in German) can be found at:

https://recruiting.arbeitsagentur.de/ba-karriere/stellensuche/index.html#/posting/53876366

Please reference the following job number in your application: 2023_E_000366.

The IAB is committed to equal opportunities for men and women and therefore encourages women to apply. Applications from severely disabled persons with appropriate aptitude are expressly welcome.

 

The IAB is offering the successful applicant the chance to work in a dynamic research environment. Candidates with a completed doctoral degree have the opportunity to apply for the IAB’s tenure-track system. The institute also provides active support for early career researchers by offering generous travel funding and the opportunity to participate in a variety of qualification measures.

The remuneration is according to the Federal Employment Agency’s statutory salary scale and its associated benefits. Remuneration corresponds to at least TE II, Level 1 (currently about 4.200 € gross earnings for a full-time position). With a completed doctorate or with at least two peer-reviewed publications (with two co-authored publications corresponding to one single authored publication), remuneration amounts at least to TE I, Level 1 (currently 4.700 € gross earnings for a full-time position).

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Posted on

Application Deadline

Type

Postdoc

Reference Number

2023_E_000366

Show Contact Information
Name

Prof. Dr. Jörg Drechsler

Institute%20for%20Employment%20Research%20%28IAB%29%20%281130752%29%20%20Regensburger%20Str.%20104%20%2090478%20%20N%C3%BCrnberg%2C%20N%C3%BCrnberg%2C%20Germany

Institute for Employment Research (IAB) (1130752) Regensburger Str. 104 90478 Nürnberg

90478 Nürnberg , Germany