Research assistant (praedoc) (m/f/d)

Job description:
The aim of the project B06 of the SFB/TRR 388 is to develop an abstract well-posedness
and regularity theory for (S)PDEs on random time-dependent domains and its numerical
analysis. We will consider quasi-Monte Carlo methods (QMC) for numerical discretization of
quantities of interest in the forward as well as in the (Bayesian) inverse setting. Furthermore,
we will analyze well-posedness of SPDEs on time-dependent domains and study SPDEs on
random timedependent domains. The third-party funded research project provides an
opportunity to do a doctorate.

Requirements:
A completed scientific university degree (Master’s degree) in mathematics until October 2024

Desirable:

• Very good university degree in mathematics
• Profound knowledge of stochastic analysis, particularly in SPDEs
• Strong knowledge of numerical methods for partial differential equations
• Programming skills in Matlab or Python
• Profound understanding of Uncertainty Quantification, especially in Bayesian inverse
  problems and Monte Carlo methods
• Excellent English language skills and good scientific writing and presentation skills

Applications should be sent by e-mail, together with all documents, indicating the reference
code, no later than September 23rd, 2024 in PDF format (preferably as one document) to Frau Prof. Dr. Ana Djurdjevac: adjurdjevac@zedat.fu-berlin.de or postal to

Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Mathematik
AG Numerical Analysis and Stochastic
Prof. Dr. Ana Djurdjevac
Arnimallee 6
14195 Berlin (Dahlem)

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Freie Universität Berlin is an equal opportunity employer.