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Christoph Lenzen <[log in to unmask]>
Reply To:
Christoph Lenzen <[log in to unmask]>
Thu, 5 Feb 2015 17:37:06 +0100
text/plain (2831 bytes) , text/html (3942 bytes)
Dear PODC community,

there is an opening for a postdoc position at USI Lugano in Switzerland, to 
be filled as soon as possible. The goal is to research novel flow 
algorithms, which then will be implemented on graphic cards in collaboration 
with industry. Here is one of the rare opportunities to do theoretical work 
in parallel and distributed algorithms and have a very immediate impact on 

This is closely related to ongoing research on distributed and centralized 
flow algorithms by Andreas Karrenbauer and myself at MPI for Informatics, 
Saarbruecken, Germany. Depending on the candidate's preferences, there is 
the possibility for close collaboration with us; we will be happy to provide 
ample traveling support for frequent visits.

Feel free to contact me or Rolf Krause ([log in to unmask]) if you
have further questions. For applications, please refer to the job offer below.


Open PostDoc Position in Network Optimization in Lugano, Switzerland

At the Institute of Computational Science  at the UniversitÓ della Svizzera 
italiana, a PostDoc position in network optimization is open. The 
successfull candidate will work together with the company sarmap 
(www.sarmap.ch) on the development of a parallel and efficient method for 
the solution of the minimum cost flow problem. The resulting algorithm shall 
be applied to phase unwrapping in the context of satellite data.

Besides the necessary mathematical background, the successful candidate is 
expected to work closely together with the company sarmap in order to ensure 
the later applicability of the algorithm.

Requirements: An MSc or equivalent degree in Computational Sciences, 
Engineering, Applied Mathematics/Physics, or a closely related discipline; 
experience in programming and problem solving; fundamentals of optimization; 
working knowledge of Linux environment; good communication skills and a 
positive attitude to collaborative work in a multidisciplinary environment; 
and fluency in English (spoken and written).

Desirable assets are: Good understanding of discrete optimization; C/C++ 
programming; Experience with gpus and parallel computing;

Applications should contain a motivational letter (2 pages maximum), a CV, 
copies of relevant degrees, and two contacts for references. Please submit 
applications electronically in PDF format to [log in to unmask] and 
include the keyword "Phase Unwrapping" in the subject. The deadline for 
applications is March 1, 2015.


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