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Research Fellow/Assistant Professor in Optimization for Machine Learning (tenure track) - closing da
miércoles, 11 de diciembre de 2019

The Wallenberg AI, Autonomous Systems and Software Program (WASP) is Sweden’s largest individual research program ever; a major national initiative for strategically motivated basic research, education and faculty recruitment (see https://wasp-sweden.org). WASP comprises five Swedish full partner universities and a substantial part of Swedish industry and commerce. WASP aims to strengthen Linköping University specifically in the field of machine learning within the AI focus-area of WASP.
We seek competence in Optimization for Machine Learning. The major task for this position is fundamental research in the area of mathematical optimization theory and novel techniques for machine learning. Examples of research topics are: sparse optimization, saddle point search, multi-object learning, and stochastic quasi-Newton methods. Although the expertise should primarily be in optimization, the applicant should ideally also have experience in machine learning.
The financing of the position, established through WASP (Wallenberg AI, Autonomous Systems and Software Program, https://wasp-sweden.org), includes support for the position holder’s own salary during 4–5 years and a research group with two postdocs (2 years each) and one PhD student (4 years).
If you are looking for work at an excellent young university, living in urban or rural environments with commuting distance of 15 min, and want to possibly exploit your research results commercially (YOU will completely OWN your IPR): Apply before December 9!