Umeå University, Mathematics and Mathematical Statistics

Position ID: 2216-MLPHD [#17592]
Position Title: PhD position in Optimization and Machine Learning
Position Type: Non tenure-track faculty
Position Location: Umea, Vasterbottens Lan 901 03, Sweden [map]
Application Deadline: 2021/06/16 11:59PMhelp popup (posted 2021/04/19, listed until 2021/06/16)
Position Description:    

The Department of Mathematics and Mathematical Statistics at Umeå University is opening a PhD position in mathematical statistics, focused on the interplay between optimization and machine learning. The position is for four years of doctoral studies which include both participation in research and postgraduate courses. Last day to apply is June 15, 2021.

The project is part of the AI/MLX track of the Wallenberg AI, Autonomous Systems, and Software Program (WASP) and the PhD student will be enrolled in the WASP graduate school, see https://wasp-sweden.org/graduate-school/ for more information.

The position is intended to result in a doctoral degree and the main task of the PhD student is to pursue their doctoral studies which include participation in research and doctoral courses, and to take part in the WASP graduate school. The duties can include teaching and other departmental work (up to a maximum of 20%). The employment is limited to the equivalent of four years of full-time (48 months) or up to five years for teaching part-time. Salary is set in accordance with the established salary levels for PhD positions, which currently start at 29,000 SEK/month (ca US$3,460/month) and increases as the doctoral studies progresses. The employment starts in the fall of 2021 or according to agreement.

Umeå offers excellent working and living conditions. The working environment is international and very family friendly, as exemplified by a generous allotment of 480 days paid parental leave for each child. Umeå is a young city located right next to a large river. It is surrounded by forests and lakes and lies close by the sea. The city offers excellent opportunities for both outdoor and indoor activities.

For more information and instructions on how to apply, see:

https://www.umu.se/en/work-with-us/open-positions/wasp-ai-program-phd-position-in-optimization-and-machine-learning_395827/

Informal inquiries can be directed to the intended thesis advisor, Alp Yurtsever, alpyurtsever@gmail.com.


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Contact: Ake Brannstrom
Email:
Postal Mail:
Mathematics and Mathematical Statistic
Umea University
901 03 Umea
Sweden
Web Page: www.math.umu.se

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