[Opt-Net] Research Assistant Position (f/m/d) for data-driven and variational regularization methods for dynamic image reconstruction (Ref. 22/33) at WIAS, Berlin, Germany

[Heike Sill]

WIAS invites in the Research Group

“Nonsmooth Variational Problems and Operator Equations”

(Head: Prof. Dr. M. Hintermüller) applications for a

Research Assistant Position (f/m/d)

for data-driven and variational regularization methods for dynamic image 
reconstruction

(Ref. 22/33)

to be filled at the earliest possible date. The position is associated 
to the MATH+ Cluster of Excellence EF3-12 project “Integrated Learning 
and Variational Methods for Quantitative

Dynamic Imaging" a joint interdisciplinary project of the Weierstrass 
Institute for Applied Analysis and Stochastics (WIAS) and the 
Physikalisch-Technische Bundesanstalt Institute Berlin (PTB).

The work tasks include:

  * Develop, analyze and implement a spatio-temporal regularization
    parameter learning framework for dynamic image reconstruction with a
    particular focus on dynamic magnetic resonance imaging (MRI)
  * Develop a machine learning framework for learning the physical law
    processes that govern a MRI experiment and use this to enhance
    existing and develop new numerical algorithms for quantitative MRI
  * Transfer and evaluate the developed methods to clinical application
    level along with the project partners

We are looking for: A motivated, outstanding researcher with a very good 
degree and excellent doctorate in mathematics as well as previous 
experience in the fields mentioned above.

Additionally, it is highly desired that the candidate has experience in:

  * Mathematical imaging, in particular variational as well as
    data-driven regularization methods for image reconstruction
  * Optimization and optimal control with partial differential equations
    and related numerical solution algorithms
  * Scientific computing and deep learning

Technical queries should be directed to Prof. Dr. Michael Hintermüller 
(Michael.Hintermueller at wias-berlin.de). The position is remunerated 
according to TVöD Bund and is initially limited to two years.

The Institute aims to increase the proportion of women in this field, so 
applications from women are particularly welcome. Among equally 
qualified applicants, disabled candidates will be given preference.

Please upload your complete application documents, including cover 
letter, curriculum vitae and certificates, via our applicant portal 
<https://short.sg/j/22772235>as soon as possible but not later than 
October 31st, 2022using the button "Apply online 
<https://short.sg/a/22772235>".

We are looking forward to your application!

See here for more information:https://short.sg/j/22772235

-- 
Administration
Weierstrass Institute for Applied Analysis and Stochastics
Mohrenstrasse 39
10117 Berlin, Germany
Phone: +49 (0)30  20372 557
Fax: +49 (0)30 20372 329
URL:http://www.wias-berlin.de/~sill/?lang=1
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