Your Tasks
DEADLINE : Wed. February 11, 2026
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.
Your Profile
Your profile++Desirable background knowledge :
PhD in Applied Mathematics or Machine LearningHigh level / experience in Control and / or Machine LearningProven experience in Partial Differential Equations and Numerical AnalysisComputational skills to develop computational codes (Python and MATLAB)Ability to work independently and collaboratively in an international and interdisciplinary teamExcellent knowledge of English (oral and written)Topics of interest (examples)
PDE-constrained optimization and controlData-driven modeling for dynamical systems and PDEsLearning-based numerical methods and operator learningStructure-preserving numerical schemes, inverse problems, uncertainty quantificationConnections between control, reinforcement learning, and scientific MLBenefits : 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 bonus30 days annual leave at five working days per week with additional free days on December 24 and 31Occupational pension scheme and asset accumulation savings schemeExcellent support during the academic qualification phaseStructured doctoral degree programsSystematic career development in collaboration with the Graduate CenterThorough onboarding process with a dedicated teamJoint team activitiesSubsidized food and drinks in our student restaurantsPlace of work within comfortable walking distance of public transportFamily-friendly environment with childcare options, also during school holidaysFlexible working hoursA wide range of training courses and opportunities for professional developmentActive health managementPayment
A 13