Job
- Level
- Experienced
- Location
- Gersthofen
- Working Model
- Hybrid, Onsite
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Temporary employment
Job Summary
In this role, you will develop system simulations for technical systems, optimize them using AI, conduct tests, and analyze large datasets to create predictive models.
Job Technologies
Your role in the team
- Development of system simulations for complex technical systems
- Application of Artificial Intelligence for System Behavior Optimization
- Planning and execution of experimental tests and validations
- Analysis and evaluation of large measurement and simulation datasets
- Development of data-driven models and forecasting methods
- Comparison of simulation results with experimental data
- Preparation of scientific publications and project reports
- Supervision of students and thesis projects
- Participation in interdisciplinary research projects
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Our expectations of you
Education
- Successfully completed university degree (Master's, Diplom) in one of the following fields: Mechanical Engineering, Computer Science, Aerospace Engineering, Mechatronics, Physics, Data Science, or comparable.
Qualifications
- Knowledge of data analysis (Python, MATLAB, R) is desirable
- Interest in interdisciplinary research
- Excellent spoken and written skills in German and English
Experience
- Experience with simulation tools (e.g., MATLAB/Simulink, Modelica, Python) and Machine Learning / AI (e.g., TensorFlow, PyTorch, Scikit-learn) is desirable
- Experience with test planning and trial evaluation
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What we offer
- Fixed-term position until 31.05.2027 with an attractive salary depending on qualifications up to a maximum of pay grade 13 (TV-L)
- Participation in innovative AI research projects
- Opportunity for promotion in a highly current research field
- Interdisciplinary working environment
- Close collaboration with partner companies from industry, authorities, and research institutions
- Modern research infrastructure
- Flexible working time models and remote work after onboarding
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Benefits
Work-Life-Integration
Topics You Will Work On
Job Locations
About Your Employer
Hochschule Augsburg
The Augsburg School of Higher Education has set itself the goal of developing personalities who are in great demand in business and society. In the so-called "Oberschönefeld Quality Code", all faculties have therefore jointly established common standards for teaching. Modern methods of teaching and learning, a strong focus on practical experience, and optimum support quality for students are among the top priorities.
Description
- Founding Year
- 1971
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Education System
Research Associate specializing in system simulation and AI-supported data analysis
- Location
- Gersthofen
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
