Candidates for Ph.D. positions should hold a Master’s degree in Applied Mathematics or a similar subject with a proven strong background in numerical methods for differential equations, probability theory, statistical modelling, or equivalent. Experience with Uncertainty Quantification is beneficial. Programming experience in Python, C/C++, Matlab or equivalent and proficiency in English (written and oral) is essential.

For general job inquiries please contact Prof. Ullmann. Include your CV and a short motivation letter (max. one page), explaining your research interests and your relevant skills and experience. There might be opportunities for upcoming positions or joint project applications if you wish to carry out research in the group. Postdoctoral researchers will be asked to apply for fellowships.

Student projects / theses:

• Topics related to our recent work, see publications.
• Take a look at supervised theses.
• Contact Prof. Ullmann by email for an appointment to discuss possible topics.