Research assistant with a focus on system simulation & AI-supported data analysis on a temporary basis (m/f/d)

Development of system simulations for complex technical systems Application of artificial intelligence to optimize system behavior Planning and implementation of experimental tests and validations Analysis and evaluation of large measurement and simulation data sets Development of data-driven models and forecasting methods Comparison of simulation results with experimental data Creation of scientific publications and project reports Support for students and graduates Working in interdisciplinary research projects Research focuses:

• System simulation of complex technical systems
• AI-based modelling
• Data analysis & machine learning
• Test planning & validation
• Digital twins
• Forecast models
• Optimization of technical systems

Successfully completed university studies (Master, Diploma) in one of the following areas: Mechanical Engineering Information Aerospace Technology mechatronics Physics Data Science or comparable

Experience in handling simulation tools (e.g. MATLAB/Simulink, Modelica, Python) and Machine Learning / AI (e.g. TensorFlow, PyTorch, Scikit-learn) desirable Knowledge Data Analysis (Python, MATLAB, R) desirable Experience with test planning and test evaluation Interest in interdisciplinary research Very good knowledge of German and English in word and writing

At the university we write a great working atmosphere: open communication and mutual respect characterize our culture. We appreciate your opinion and competence. The Technische Hochschule Augsburg actively promotes equality between all employees. We therefore welcome applications from all interested parties, regardless of cultural and social origin, gender, age, religion, worldview, disability or sexual identity. Further framework conditions: Up to 31.05.2027 temporary position with attractive remuneration depending on qualification up to max. Group 13 (TV-L) Working with innovative AI research projects Possibility to doctorate in a highly topical research field Interdisciplinary working environment Close cooperation with partners from industry, authorities and research institutions Modern research infrastructure Flexible working time models and mobile work after incorporation Hardly disabled applicants (w/m/d) are preferably set if You otherwise have substantially the same suitability, skills and professional performance. .