Research Fellow/Assistant Professor in Optimization for Machine Learning (tenure track) – closing date December 9 approaching

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!