PhD Scholarships in Statistical Machine Learning, Uppsala University, Sweden

• 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 make Uppsala University one of Sweden’s most exciting work places. Uppsala University has 40,000 students, 7,000 employees and a turnover of SEK 6,5 billion. The Department of Information Technology has a leading position in research and education. The Department currently has about 280 employees, including 120 teachers and 110 PhD students. More than 4000 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 machine learning, automatic control, signal processing, and system identification. The research topics of the PhD student positions will be centered around probabilistic modelling of dynamical systems, including the development and analysis of Bayesian dynamical models and/or computational learning methods (e.g. sequential Monte Carlo, Markov chain Monte Carlo, optimization and variational methods). A few examples of concrete research problems that may define the PhD projects are available here:
  http://user.it.uu.se/~thosc112/PhDpositionJune2016.pdf
  These are suggestions and the exact research topic will be determined in a dialogue between the PhD students and the supervisors. Information about our ongoing research is available from our personal web sites (http://user.it.uu.se/~thosc112/ and http://www.it.uu.se/katalog/freli660) and at the group website: http://www.it.uu.se/research/systems_and_control
  The position is for a maximum of five years and includes departmental duties at a level of at most 20% (typically teaching).
  
  Qualifications: 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 machine learning for mathematical modelling of nonlinear systems is valued.
  
  How to apply: Applications should include a presentation of the applicant and an explanation of the reasons why this position is applied for, his/her research interests and past experience, a CV, copies of exams, degrees and grades, a copy of the Master’s thesis (or a draft thereof), publications, and other relevant documents. Candidates are encouraged to provide contact information to reference persons. Applications may be submitted by candidates that have not fully completed the Master of Science degree (or equivalent), however all applicants should state the earliest feasible starting date of employment.
  Uppsala University aims for gender balance and diversity in all activities in order to achieve a higher quality at all levels of the organization. We therefore welcome applicants of any gender and with different birth background, functionality and life experience.
  
  For more information, see http://www.it.uu.se/first?lang=en (the department web page) or contact: Prof. Thomas Schön  (thomas.schon@it.uu.se) and Dr Fredrik Lindsten (fredrik.lindsten@it.uu.se).
  
  Deadline
  
  You are welcome to submit your application, no later than June 19, 2016.
  UFV-PA 2016/1342.
  We decline offers of recruitment and advertising help. We only accept the application the way described in the advertisement.
  
  Potential Research Topics
  
  
  • Black-box inference
  • Modelling and inference using recurrent neural networks
  • Modeling and prediction of spatio-temporal processes
  
  
  
  Placement: Department of Information Technology
  
  Type of employment: Full time , Temporary position longer than 6 months
  
  Pay: Fixed pay
  
  Number of positions: 2
  
  Working hours: 100%
  
  Town: Uppsala
  
  County: Uppsala län
  
  Country: Sweden
  Union representative: Marie Ols, TCO/ST 018-471 2459
  Per Sundman, Saco-rådet 018-471 1485
  Stefan Djurström, Seko 018-471 3315
  
  Number of reference: UFV-PA 2016/1342
  Last application date: 2016-06-19
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