Umeå University, Mathematics and Mathematical Statistics

Position ID: 2216-PDOSL [#14306]
Position Title: Postdoctoral Position (two years) in Optimization for Statistical Learning
Position Type: Postdoctoral
Position Location: Umea, Vasterbottens Lan 901 03, Sweden [map]
Subject Area: Optimization for Statistical Learning
Application Deadline: 2019/09/30 (posted 2019/08/21, listed until 2019/10/01)
Position Description:    

The Department of Mathematics and Mathematical Statistics at Umeå University is opening a postdoctoral position in mathematical statistics within the centre Wallenberg AI, Autonomous Systems, and Software Program (WASP) with an emphasis on optimization for statistical learning.

The successful candidate is encouraged to develop their own research agenda, in close collaboration with mentors and colleagues. Potential areas of interest include, but are not limited to:

+ Training generative adversarial networks

+ Nonconvex algorithms for linear inverse problems (such as compressive sensing)

+ Robust optimization and defence against adversarial examples in deep neural net

+ Role of over-parametrization in training and generalization of deep neural nets

+ Global geometry of nonconvex problems

+ Efficient and scalable algorithms for constrained nonconvex optimization

+ Application of Langevin dynamics and other Monte-Carlo techniques in optimization

+ Online and storage-optimal algorithms for large scale convex optimization

The appointment is for two years at the Department of Mathematics and Mathematical Statistics. Starting date is fall 2019 or as otherwise agreed.

For further details and instructions on how to apply, see https://umu.mynetworkglobal.com/en/what:job/jobID:284855/


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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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