[DMANET] Postdoc in Machine Learning at Hamburg University of Technology

Hamburg University of Technology seeks a versatile, highly motivated
Post-doctoral researcher to work on machine learning techniques for
locating objects. The position is part of the WinOSens project,
conducted in close collaboration with industrial partners and funded
by the German Government. The position is for two years (fully
funded).

The candidate should hold a PhD in a relevant subject and a strong
background in machine learning techniques. Knowledge about machine
learning techniques for resource-constraint devices and/or experience
in programming embedded systems will be beneficial. The target of the
project is a to have a running prototype in a real industrial setting.

The position will be filled as early as possible in 2021. There is no
fixed deadline for applications. Please send your application by
E-Mail in one file to Prof. Volker Turau (turau at tuhh.de).

Further information about the Institute of Telematics can be found on
http://www.ti5.tu-harburg.de/. Women are especially encouraged to
apply. Applications should include a detailed cv, a list of your M.SC.
courses and grades, a recommendation letter and a copy of your PhD
thesis. For further information about the project, please contact
Prof. Volker Turau.

---
Prof.Volker Turau
Hamburg University of Technology, Institute of Telematics


Schwarzenberg-Campus 3
D-21073 Hamburg
Tel.: (+4940) 42878-3530
E-Mail: turau at tuhh.de
http://www.ti5.tu-harburg.de/staff/turau/
**********************************************************
*
* Contributions to be spread via DMANET are submitted to
*
* DMANET@zpr.uni-koeln.de
*
* Replies to a message carried on DMANET should NOT be
* addressed to DMANET but to the original sender. The
* original sender, however, is invited to prepare an
* update of the replies received and to communicate it
* via DMANET.
*
* DISCRETE MATHEMATICS AND ALGORITHMS NETWORK (DMANET)
* http://www.zaik.uni-koeln.de/AFS/publications/dmanet/
*
**********************************************************