The Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship (FAU DCN-AvH) at Friedrich-Alexander-Universität Erlangen-Nürnberg is looking for PhD students with an interest in areas involving or related to partial differential equations, numerical and data analysis, stochastic optimisation, control theory or scientific computing.

FULL-TIME
Where: FAU DCN-AvH, Department of Data Sciences. Cauerstr. 11, 91058 Erlangen, Germany
Time limit: 3 years
Starting at: Earliest possible

Profile

Candidates are expected to have proven their skills in interdisciplinary cooperation and become actively involved in the newly established FAU MoD, Researcher Center for Mathematics of Data.
-Research in PDE
-Numerical Analysis
-Control
-Machine Learning

Qualification

-Master on Mathematics or similar, Physics, Engineering, etc.
-Experience: Computational skills, reference/recommendation letters
-Interdisciplinary and collaborative work
Successful candidates is expected to demonstrate initial academic achievements and the capacity for independent research at the highest international standards.

Opportunities

FAU expects applicants to become actively involved in administering academic affairs and in developing strategic initiatives. FAU offers career development, mentoring and an attractive initial research budget. Based on international standards and transparent performance agreements, FAU ensures a comprehensive and fair evaluation process.

In its pursuit of academic excellence, FAU is committed to equality of opportunity and to a proactive and inclusive approach, which supports and encourages all under-represented groups, promotes an inclusive culture and values diversity. FAU is a family-friendly employer and is also responsive to the needs of dual career couples.

How to Apply

Go to the PhD call to submit your application via web-form
*IMPORTANT: Only applications via web form will be considered!

|| About FAU DCN-AvH Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship