Wednesday, January 22, 2020

[DMANET] PhD Position: Machine Learning

At TU Dresden, the Chair of Machine Learning for Computer Vision invites
applications for a

PhD Position: Machine Learning

Salary level: TV-L E13, 100%

Tasks:
- Curiosity-driven basic research of fundamental mathematical
optimization problems in the field of machine learning
- Design and analysis of algorithms for solving these problems, exactly
or approximatively
- Implementation, empirical analysis and comparison of these algorithms
with respect to real data
- Publication of findings and insights in internationally leading
conferences and journals
- Teaching assistance, esp. co-supervision of student research projects,
and tutoring, in English.

Requirements:
- A very good university degree in mathematics or computer science or a
related discipline
- Comprehensive education in mathematics, especially in discrete
mathematics and one area of mathematical optimization (e.g. Mathematical
Programming, Convex Optimization)
- Publications in leading conferences or journals are a strong plus at
the entry level of a scientific career
- Curiosity and strong interest in rigorous methodological research
- Very good programming skills in C++
- Very good scientific writing skills in English. (Knowledge of German
is not required for this position).

Application documents: CV, degree certificates, transcript of records
(preferably as a single PDF file)

Further information: https://mlcv.inf.tu-dresden.de/

Contact: mlcv@tu-dresden.de
**********************************************************
*
* 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/
*
**********************************************************