Sweden : PhD student position in Online Machine Learning for Automatic Control at Uppsala University

Uppsala University is an international research university focused on the development of science and education. Our most important assets are all the individuals who with their curiosity and their dedication makes Uppsala University one of Sweden’s most exciting work places. Uppsala University has 41.000 students, 6,500 employees and a turnover of SEK 5,900 million at the Division of Systems and Control.

The Department of Information Technology has a leading position in research and education. The Department currently has about 275 employees, including 110 teachers and 120 PhD students. More than 3000 students study one or more courses at the department each year. More info: http://www.it.uu.se/?lang=en. The Division of Systems and Control is active in control engineering, signal processing and system analysis.

Subject: This position aims at relating modern insights in (Online) Machine Learning (OML) to the esteemed tool of the Kalman Filter (KF). OML has led to renewed insights in such tasks as optimization, multiple-armed bandit algorithms and sequential designs, and comes nowadays with a solid theoretical underpinning.  The KF on the other hand is the workhorse of the control-engineering, and is for example used as the observer of choice in many state-feedback control schemes.

Integrating KFs in a modern OML setting would provide new insights and suggest new extensions to basic schemes. The particular focus would be how to extend the KF to the case of many variables. Modern techniques of OML have excelled in this topic, while traditional approaches as the KF have not been studied extensively in this regard.

A PhD position at the Division requires a Master of Science or equivalent in a field that is relevant to the topic of the PhD thesis, good communication skills and excellent study results, as well as sufficient proficiency in oral and written English. Experience in mathematical modeling, automatic control or machine learning is valued. The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching). http://regler.uu.se/Listsida/?kategoriId=139

There are fixed salary ladders for the PhD-students within the university.

Applications should include a description of research interests and past experience, a CV, copies of results of exams, degrees and grades, a copy of Master thesis (or a draft thereof), publications, and other relevant documents. Candidates are encouraged to provide contact information to reference persons.

The department is striving to achieve gender balance and female candidates are therefore particularly invited to apply.

For more information, see http://www.it.uu.se/ (the department) or contact: Dr. Kristiaan Pelckmans, kp@it.uu.se.

Welcome to send your application, no later than October 3rd 2014. UFV-PA 2014/2674

Klick on the link below to get to the application form.

PhD student position in Online Machine Learning for Automatic Control

We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.

Placement: Department of Information Technology

Type of employment: Full time , PhD placement

Pay: Fast lön

Number of positions: 1

Working hours: 100%

Town: Uppsala

County: Uppsala län

Country: Sweden

Union representative: Carin Söderhäll, TCO/ST 018-471 1997 1
Per Sundman, Saco-rådet 018-471 1485 1
Stefan Djurström, Seko 018-471 3315 1

Number of reference: UFV-PA 2014/2674

Last application date: 2014-10-03
– See more at: http://www.uu.se/en/join-us/jobs-detail-page/?positionId=42843#sthash.EuD7x0AZ.dpuf

Further Information

Application Deadline : 3 October 2014

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