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Offer 278 out of 528 from 06/02/24, 11:55

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Freie Universität Berlin - Fachbereich Mathematik und Informatik - Institut für Mathematik AG Numerische Mathematik deterministischer und stochastischer partieller Differentialgleichunge

The DFG-funded project "Robust sampling for Bayesian neural networks” (joint project together with colleagues from TU Freiberg and University of Passau) aims to develop efficient numerical methods for the simulation and evaluation of Bayesian neural networks. This enables uncertainty quantification in deep learning. The group ‘Numerical analysis of stochastic and deterministic partial differential equations’ at Freie Universität Berlin (https://www.mi.fu-berlin.de/math/groups/naspde) focuses is on applied and computational mathematics, in particular optimization, inverse problems and uncertainty quantification.

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

with 50% part-time job
limited for 36 months
Entgeltgruppe 13 TV-L FU
reference code: AG NASPDE DFG

Working field:

The project aims at efficient procedures to evaluate the posterior distribution, in particular, in scenarios of deep neural networks with very informative data. The successful candidate will conduct research in the field numerical analysis, applied stochastics, high-dimensional Bayesian statistics, and/or machine learning. The third-party funded research project provides an opportunity to do a doctorate.

Requirements:

Requirements:
A completed scientific university degree (master’s degree) in mathematics or a closely related field is required.

Desirable:
Solid mathematics education (focus on numerical analysis, functional analysis or stochastic analysis), programming experience.

For further information, please contact Prof. Dr. Claudia Schillings (c.schillings@fu-berlin.de /
+49 30 83875803).

How to apply:

Applications should be sent by e-mail, together with significant documents, indicating the
reference code, no later than February 26th , 2024 in PDF format (preferably as one document) to Prof. Dr. Claudia Schillings: c.schillings@fu-berlin.de or postal to

Freie Universität Berlin
Fachbereich Mathematik und Informatik
Institut für Mathematik
AG Numerische Mathematik deterministischer und stochastischer partieller
Differentialgleichungen
Frau Prof. Dr. Claudia Schillings
Arnimallee 6
14195 Berlin (Dahlem)

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Freie Universität Berlin is an equal opportunity employer.