Data Science Intern in Engine Health Monitoring (all genders)

STRONG TASKS Familiarization with the Engine Trend Monitoring (ETM) procedure used at MTU During the internship, you will deal with topics from the following areas: Further development of existing machine learning models and methods in Python Visualization of FFD and results from machine learning methods Improving performance and optimizing existing algorithms Quality assurance of machine learning models and procedure Independent evaluation, presentation and documentation of results BEST CONDITIONS Studies in computer science, data science, engineering, mathematics, physics or a comparable field of study Programming experience with Python and knowledge of machine learning Basic knowledge of thermodynamics, especially of aircraft engines, is an advantage Structured, analytical thinking skills, initiative and an independent and solution-oriented way of working EXCELLENT ENVIRONMENT Insights into the aviation industry and jobs with responsibility Team spirit through student network events and individual support Flexible working time models with mobile working Canteen, café bar and shops Sports cooperation with EGYM Wellpass company sports groups Top connections via commuter bus, parking garage, e-charging station READY TO GO? Then give your application a boost and send us your documents (CV, university grade overview, school leaving certificate and current enrollment) online. Right now, right here. We look forward to seeing you!