KnowGraphs: Knowledge Graphs at Scale – 3 Open PhD Positions for International Students
29 Novembro, 2019Oferta de empleo: Bioestadístico en IDIBELL
4 Decembro, 2019KnowGraphs: Knowledge Graphs at Scale – 3 Open PhD Positions for International Students
29 Novembro, 2019Oferta de empleo: Bioestadístico en IDIBELL
4 Decembro, 2019
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{06fdc68f0c32a4bb4bc587245a8893a97471dc602b4e431d14a97651d507d6d7} is
for research and 20{06fdc68f0c32a4bb4bc587245a8893a97471dc602b4e431d14a97651d507d6d7} 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.
We look forward to receiving your application!