Postdoc Positions in Data-Driven Simulation: The AIFB Institute is seeking several PhD and PostDoctoral candidates to join the Systems, Data, Simulation & Energy (SYDSEN) research group. These positions focus on advancing digital twins through data-driven modeling and simulation to enhance decision-making, reliability, and energy efficiency in cyber-physical systems, particularly in energy and smart manufacturing.
Postdoc Positions in Data-Driven Simulation and Digital Twins
Designation
Postdoctoral Associate (Multiple Positions)
Table
| Details | Information |
|---|---|
| Research Area | Data-Driven Simulation, Digital Twins |
| Location | Karlsruhe, Germany |
| Eligibility | PhD in Computer Science, Software Engineering, Data Science, or similar fields |
| Starting Date | March 1, 2025, or soon thereafter |
| Salary | Salary category 13 TV-L, based on qualifications |
| Contract Duration | Limited to 2 years with the possibility of extension |
| Last Date to Apply | January 31, 2025 |
Research Area
Data-driven modeling and simulation with a focus on advancing digital twins for application in manufacturing and energy systems.
Location
Institute of Applied Informatics and Formal Description Methods (AIFB), Karlsruhe, Germany
Eligibility/Qualification
- Master’s degree and a doctoral degree in Computer Science, Software Engineering, Data Science, or a related field.
- Solid publication record in data-driven approaches.
- Experience in teaching, proposal writing, modeling, and simulation.
- Good command of English and willingness to learn German.
Job Description
As a member of the SYDSEN research group, you will:
- Conduct cutting-edge research in data-driven modeling and simulation.
- Contribute to the development of methodologies for automated digital twin creation.
- Engage in teaching activities and coordinate courses within the research group.
- Involve in administrative tasks essential to the group’s operations.
This position offers an exciting opportunity to contribute to the forefront of scientific advancement in cyber-physical systems.
How to Apply
Interested candidates should submit the following documents as a PDF:
- CV
- Academic transcripts
- A copy of your Master’s thesis (draft acceptable for PhD applications)
- Names of two references
- A motivation letter aligning your research interests with the position
Please give the PDF a name that includes your name and apply online for vacancy number 1482/2024.
Last Date to Apply
Applications will be accepted until January 31, 2025.
