The
Machine Learning Group at the Universität Hamburg (https://www.inf.uni-hamburg.de/en/inst/ab/ml.html),
headed by Sören Laue, invites applications for a PhD and/or a Postdoc position.
The group focuses on efficient algorithms and optimization methods for machine learning and deep learning. This includes designing, analyzing, and implementing new optimization algorithms for classical machine learning problems and optimization schemes for deep learning. Furthermore, the group's research includes thoroughly analyzing and improving deep learning architectures. High emphasis is placed on publications at top-tier conferences, like NeurIPS, ICML, ICLR, or AAAI.
We are looking for a PhD student or a Postdoc to join our group. The position (100%, TV-L 13) allows for conducting research on a wide range of topics related to efficient algorithms for machine learning and deep learning. The position comes with a small teaching load of four hours per week, preferably in German.
For both positions, excellent knowledge of machine learning, a solid background in CS and math, and solid programming skills in Python or C++ are mandatory. The desire to conduct and enjoy excellent research and to publish at the leading machine learning conferences is highly beneficial. While the working language in the group is English, the knowledge of German is a plus.
As a University of Excellence, Universität Hamburg is one of the strongest research universities in Germany. It is located in the heart of Hamburg, Germany's second-largest city, which offers a high quality of living.
In case of any questions, feel free to contact Sören Laue (soeren.laue@uni-hamburg.de).
You are welcome to apply by sending your CV, academic transcripts, final thesis (draft), and a short research statement (about 1/2 page) to soeren.laue@uni-hamburg.de using the subject 'Application for Ph.D. position' or 'Application for PostDoc position.' Candidates will be considered until the position is filled.
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