[Job-offers-cs] PhD or postdoc position in Machine Learning and Optimization methods for Fluid-Structure Interaction at Koblenz University

Pekka Orponen pekka.orponen at aalto.fi
Tue Jul 14 09:17:16 EEST 2020


-------- Forwarded Message --------
Subject: [SIAM-OPT] PhD or postdoc position in Machine Learning and 
Optimization methods for Fluid-Structure Interaction at Koblenz University
Date: Thu, 9 Jul 2020 14:56:55 +0200
From: Michael Hinze <hinze at uni-koblenz.de>
Reply-To: hinze at uni-koblenz.de
Organization: UKO
To: Pekka Orponen <pekka.orponen at aalto.fi>
CC: Optimization SIAG mailing list <siam-opt at siam.org>

Dear colleagues,

I have a vacancy in my working group. I would be delighted if you could 
forward the following announcement to interested (and suitable) junior 
researchers.

Thank's for your support and best wishes, Michael

--------
The Modeling, Simulation, and Optimization of Complex Systems Group of 
Michael Hinze at the University Koblenz-Landau is inviting applications 
for a research position in Machine Learning and Optimization methods for 
Fluid-Structure Interaction.

The positions are subject to the German law on fixed-term contracts in 
science (WissZeitVG) and are to be filled at the earliest convenience. 
The positions are available for a fixed time period not extending three 
years with a maximum duration of the contract until September 30, 
2023.The salary for each position is according to 1,0 EGr 13 TV-L. The 
successful candidate will work in the Modeling, Simulation, and 
Optimization of Complex Systems Group of the University Koblenz-Landau.


Topic:

This research position is associated to the Collaborative Research 
Project Development and implementation of Machine Learning methods for 
the prediction of ischemic strokes funded by the German Ministry for 
Education and Research (BMBF). The aim of the project consists in 
developing computational and mathematical analysis tools to improve 
clinical pathways in the exploration, analysis and treatment of 
vasoconstriction to reduce the resulting risk of ischemic stroke. For 
this purpose new methods of blood flow simulation and machine learning 
as well as new fluid-structure interaction (FSI) optimization techniques 
are developed in close collaboration with the other project and clinical 
application partners.

The group at the Campus Koblenz develops optimization methods for 
fluid-structure interaction and fast solution algorithms for parameter 
identification problems of machine learning. In addition, 
simulation-based hemodynamic reduced order surrogate models are 
constructed and implemented to accelerate the machine learning 
algorithms, and are validated on real data together with the clinical 
application partners.

Requirements:

The successful candidate requires a master degree in Applied 
Mathematics, Mechanical Engineering, Computer Science or Computational 
Physics, with a strong background in numerical methods for PDEs and 
nonlinear programming, ideally with experience in numerical fluid 
mechanics and fluid-structure interaction. Fluency in both written and 
spoken English and the ability to work in an interdisciplinary team are 
mandatory. Additional knowledge in modern scientific programming is 
desired. Very strong problem-solving skills, willingness to learn, 
ability to work independently, experience/willingness in writing 
publications and good presentation skills are essential.

Please contact Prof. Dr. Michael Hinze (phone: +49 (0)261/287-2310 or 
e-mail: hinze at uni-koblenz.de) for further information.

It is the policy of the University Koblenz-Landau to increase the 
percentage of female employees. If equally qualified, preference will be 
given to female applicants in fields where they are underrepresented. 
Disabled candidates are given priority, if equally qualified. 
International candidates are highly encouraged to apply.

Applications should include a letter of motivation, complete curriculum 
vitae with a list of publications and presentations, certificates etc. 
Please send your application, quoting the reference number Ko 28/2020, 
before July 24, 2020 by e-mail in a single PDF file to 
bewerbung-K21 at uni-koblenz.de. Applications are accepted until the 
position is filled.
We do not send a confirmation of receipt. In accordance to the 
protection of data privacy all documents will be destroyed after the 
application procedure

-- 
###########################################################
Upcoming: SIAM Optimization Conference 2020 
https://www.polyu.edu.hk/ama/events/conference/op20/en/
###########################################################

   Prof. Dr. Michael Hinze
   Modeling, Simulation & Optimization of Complex Systems

   Universität Koblenz-Landau, Campus Koblenz
   Mathematisches Institut
   Universitätsstraße 1
   56070 Koblenz

   Tel.: D-+261/287-2310
   Fax: D-+261/287-2306
   mailto:hinze at uni-koblenz.de

https://www.uni-koblenz-landau.de/de/koblenz/fb3/mathe/ueber-uns/mitglieder/professoren/hinze



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