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.
Where: FAU DCN-AvH, Department of Data Sciences. Cauerstr. 11, 91058 Erlangen, Germany
Time limit: 3 years
Starting at: Earliest possible
THIS CALL IS OPEN!
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
-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.
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
Please apply this position by submitting an email to our Chair: email@example.com, sending:
-A letter of motivation
-Contact information (incl. email addresses) for two academic references
Please, refer this call on the Subject of your email as: Application for PhD
|| About FAU DCN-AvH Chair for Dynamics, Control and Numerics – Alexander von Humboldt Professorship