Postdoctoral Researcher – PDE-Constrained Optimization & Control (m/f/d)

Position Details

• Duration: Initially limited to up to two (2) years, with the possibility of extension.
• Starting Date: To be adapted to the availability of selected candidates (preferably before March 1, 2026).
• Salary: Competitive international annual gross salary following the German TV-L (A13 / E 13) scale.
• Location: The position is based in Erlangen, Bavaria, Germany.

While the primary focus is on research, collaboration with the Chair activity and mentoring is required. The position is funded by the state of Bavaria and comes with some teaching duties.

Deadline

Wed. February 11, 2026

Your Profile

Desirable Background Knowledge

• PhD in Applied Mathematics or Machine Learning
• High level/experience in Control and/or Machine Learning
• Proven experience in Partial Differential Equations and Numerical Analysis
• Computational skills to develop computational codes (Python and MATLAB)
• Ability to work independently and collaboratively in an international and interdisciplinary team
• Excellent knowledge of English (oral and written)

Topics of Interest (Examples)

• PDE-constrained optimization and control
• Data-driven modeling for dynamical systems and PDEs
• Learning-based numerical methods and operator learning
• Structure-preserving numerical schemes, inverse problems, uncertainty quantification
• Connections between control, reinforcement learning, and scientific ML

Benefits

We Have a Lot To Offer

• Regular promotion to the next level and increase in salary pursuant to the collective bargaining agreement for the public service of the German Länder (TV-L) or remuneration pursuant to the Bavarian Public Servants Remuneration Act (BayBesG) plus an additional annual bonus
• 30 days annual leave at five working days per week with additional free days on December 24 and 31
• Occupational pension scheme and asset accumulation savings scheme
• Excellent support during the academic qualification phaseStructured doctoral degree programs
• Systematic career development in collaboration with the Graduate Center
• Thorough onboarding process with a dedicated team
• Joint team activities
• Subsidized food and drinks in our student restaurants
• Place of work within comfortable walking distance of public transport
• Family-friendly environment with childcare options, also during school holidays
• Flexible working hours
• A wide range of training courses and opportunities for professional development
• Active health management