Berlin University Allianceberlin-university-alliance.de
Research assistant
- Location
- Berlin
- Remote
- On-site
- Employment type
- Full-time, Part-time
- Experience
- Mid-Level
- Field
- Social Work & Pedagogy
- Application deadline
- Sep 11, 2026
Today
Research assistant - 1st qualification period (PhD candidate)
part-time employment may be possible
Your responsibility
- Research and education in innovative battery-electric drive concepts, with a focus on new cell chemistries, battery formats, electric machines, gearbox designs, as well as their thermal management and safety concepts
- Planning and execution of research projects
- The research includes experimental and simulation-based studies. Based on personal interests/competencies and the nature of the project the focus can be adjusted
- Model-based investigations vary in abstraction level (0D, 1D, 3D) depending on the project and can be conducted using tools such as MATLAB Simulink, GT-SUITE/GT-AutoLion, COMSOL Multiphysics, Ansys Fluent, Siemens StarCCM+, or E-Machine Design
- Publication of scientific results in international peer-reviewed journals and presentation at scientific conferences
- Supervision of student theses and project work
- Preparation and conduction of practical exercise
- Review and correction of homework assignments and written exams
Your profile
- Successfully completed university degree in engineering (Master, Diplom or equivalent).
- Ability to teach in German and/or English; willingness to acquire any missing language skills
- Independent, proactive, and team-oriented working style with strong communication skills desirable
- Experience in one or both of the following areas:
1. Simulation of electric drives and energy systems using tools such as MATLAB/Simulink, Simscape, GT-SUITE / GT-AutoLion, Star-CCM+, or Siemens E-Machine Design
2. Experimental investigations in battery technology, power electronics, or electric machines.
- Experience with CAD design software (e.g., Siemens NX, SolidWorks) is desirable
- Experience with measurement and data analysis tools (e.g., INCA, LabVIEW, Excel, Uniplot, MATLAB) is desirable
How to apply
Please send your application, citing the and including the standard supporting documents, to Prof. Dr. Brauer exclusively by email (in a single PDF file, max. 5 MB) at .
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