[Opt-Net] Research position in column generation methods for modular machine learning (Hamburg)

[Nowak, Ivo]

In the collaborative research project "LD-SODA: Learning-based Data Analysis - Stochastics, Optimization, Dynamics and Approximation" of HAW-Hamburg und University of Hamburg, funded by the State Research Funding Hamburg, a full-time research position (postdoc or PhD) is available for 2,5 years, starting on November 2020. The salary according to TV-LE 13 will be probably more than 4000€ depending on your qualifications.
The candidate will develop new algorithms and theory for large-scale deep learning using modular
neural network architectures and new column generation methods. We expect that you have a strong background in algorithms for machine learning and optimization and in software development (Python).
We offer a nice working atmosphere within a recently founded team of researchers of the HAW-Hamburg and University of Hamburg.
Applications should be sent until 18.09.2020 to bewerbungsmanagement at haw-hamburg.de and ivo.nowak at haw-hamburg.de, including a full CV and a research statement why you are interested in column generation methods for modular machine learning. (1 pdf file, less than 10MB, job number 058A/20)
For further information see
https://stellenportal.haw-hamburg.de/jobposting/4b80708f9595bdc66e7e1214ebcb152a061fd8b20   (in german)
https://www.math.uni-hamburg.de/home/iske/soda.en.html
https://www.haw-hamburg.de/hochschule/beschaeftigte/detail/person/person/show/ivo-nowak/172/

Note that this is a second announcement of this position. If you already sent an application and you are still interested, please send your application again.

Best wishes
Ivo Nowak

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