Umeå University, Mathematics and Mathematical Statistics

Program ID: 2216-AIPHD [#14112]
Program Title: WASP AI Program PhD Position in Mathematical Statistics
Program Location: Umea, Vasterbottens Lan 901 03, Sweden [map]
Subject Area: mathematical statistics
Application Deadline: 2019/08/30 11:59PMhelp popup finished (2019/07/13, finished 2020/03/01, listed until 2019/08/30)
Program Description:    

*** this program has been closed. ***

* Fully paid PhD-student position in artificial intelligence / mathematical statistics *

The expansion of Artificial Intelligence (AI), in the broad sense, is one of the most exciting developments of the 21st century. This progress opens up many possibilities but also poses grand challenges. The centre Wallenberg AI, Autonomous Systems, and Software Program (WASP) is launching a program to develop the mathematical side of this area. For more information about the research and other activities conducted within WASP please visit

Project description and tasks Industrial robots, autonomous cars, stocks trading algorithms, and deep network assisted evaluation of medical images all crucially involve real-time, intelligent and automated decision making from complex and heterogeneous data, at ever growing scale and pace. This presents unprecedented theoretical and algorithmic challenges and opportunities for researchers in intelligently collecting and transforming this data into information, predictions and intelligent decisions.

Modern statistical learning is at the forefront of these advances, and the main objective of this doctoral position is to develop cutting-edge mathematical and statistical theory and the next generation of computational tools to address the above challenges with an emphasis on learning with sparsity and other emerging data models, and to potentially explore their applications in AI, including medical imaging, automated quality control, and self-driving cars, evaluated on both simulated and real data.

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

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Contact: Ake Brannstrom
Postal Mail:
Mathematics and Mathematical Statistic
Umea University
901 03 Umea
Web Page:

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