Research fellow/Assistant professor in Optimization for Machine Learning at Linkoping university

LINKÖPING UNIVERSITY (LiU)
hereby advertises a position as
Research fellow/Assistant professor in Optimization for Machine Learning at the Division of Optimization of the Department of Mathematics.
The application deadline is December 9, 2019. Starting date: by agreement.

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-objective learning, and stochastic quasi-Newton methods. Although the expertise should primarily be in optimization, the applicant should ideally also have experience in machine learning. Duties include research, teaching, supervision and some administrative duties. The position is for 5 years, of which 80% is for research and 20% for pedagogical qualification/teaching.

The financing of the position, established through WASP (Wallenberg AI, Autonomous Systems and Software Program, https://wasp-sweden.org), includes support for not only the position holder’s own salary, but also a research group with two postdocs (2 years each) and one PhD student (4 years).

Being a researcher at LiU will allow you to choose living on the countryside while commuting to work in only 15 min. Furthermore, working at LiU, you will own your entire research results and Intellectual Property Rights yourself, enabling own startups and other commercial activities that are even supported by the university. For further details, including how to apply, see: https://web103.reachmee.com/ext/I011/853/job?site=7&lang=UK&validator=d7a66c13be778ef950c393a904293789&ref=https%3A%2F%2Fliu.se%2Fen%2Fwork-at-liu&ihelper=https%3A%2F%2Fliu.se%2Fen%2Fwork-at-liu%2Fvacancies&job_id=12518 We look forward to receiving your application!