[Opt-Net] Research fellow/Assistant professor in Optimization for Machine Learning at Linkoping university

Oleg Burdakov oleg.burdakov at liu.se
Sun Nov 24 22:32:09 CET 2019


Dear Colleagues,

I would be grateful if you could forward the appended advert to
those who might be interested in applying for
Research fellow / Assistant professor in Optimization for Machine
Learning.
It is a very attractive 5-year tenure track position.

Best regards,
Oleg Burdakov,
Editor-in-Chief of the journal Optimization Methods & Software (OMS)
http://www.tandfonline.com/goms
Division of Optimization,    | Phone:  +46 13 281473
Department of Mathematics,   | Mobile: +46 (0)70 0895219
Linkoping University,        | E-mail: Oleg.Burdakov at liu.se
SE - 58183 Linkoping, Sweden | http://users.mai.liu.se/olebu87/
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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!




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