Stellenangebot

PhD and Postdoc positions in Hamburg: Learning-based Data Analysis

the Universität Hamburg, Faculty of Mathematics, Informatics and Natural Sciences, invites applications for the position of a Post-Docs (2 years, 100%) or a PhD candidate (3 years, 75%) at the statistical or approximation theoretical foundation of learning-based data analysis:

https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/fakultaet-mathematik-informatik-und-naturwissenschaften/01-11-20-410.pdf

https://www.uni-hamburg.de/uhh/stellenangebote/wissenschaftliches-personal/fakultaet-mathematik-informatik-und-naturwissenschaften/01-11-20-411.pdf

The successful candidate will work in the Collaborative Research Project “LD-SODA: Learning-based Data Analysis - Statistics, Optimization, Dynamics and Approximation” funded by Landesforschungsförderung Hamburg, Hamburger Behörde für Wissenschaft, Forschung und Gleichstellung (BWFG).

This research project aims at the mathematical analysis of machine learning methods in sufficient width and depth. On the grounds of the mathematical findings, we further aim to improve existing learning methods, or to develop new ones.

Do not hesitate to contact Armin Iske (armin.iske@uni- hamburg.de) or Mathias Trabs (mathias.trabs@uni-hamburg.de) fur further information or visit 
https://www.math.uni-hamburg.de/home/iske/soda.en.html

Please send your application with the usual documents (motivational letter, CV, publication list, university degree and transcript of records for PhD candididates) in one pdf to sekr.st@math.uni-hamburg.de with subject "Lernbasierte Datenanalyse – SODA".
Application deadline: 1st November 2020

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