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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
At the Division of Systems and Control we develop methodology and concrete tools for learning, reasoning and acting based on measured data. One of the cornerstones in our research is a probabilistic model allowing us to systematically represent and cope with the uncertainty that is inherent in most data. An important goal is to develop flexible models that can capture complex dynamical phenomena and their environments allowing machines and humans to better understand the world around us. The data and the model are two of the cornerstones of our research. The third cornerstone is the learning algorithm, with the fundamental objective of automatically constructing models based on data. It remains a major challenge to develop efficient and accurate learning algorithms capable of handling high-dimensional models, data rich applications, complex model structures, and diverse data sources that arise in many of the data analysis problems that we are currently facing. The fourth and final cornerstone of our research is that of control. The main task here is to make use of all that has been learnt from the data and represented within the probabilistic model to automatically make decisions and influence the current situation in a suitable manner. Information about our research is available from this popular scientific description http://www.teknat.uu.se/news/nyhetsdetaljsida/?id=9994&area=5,16,17,50&typ=artikel&lang=en
The Division of Systems and Control has a wide network of strong international collaborators all around the world, for example at the University of Cambridge, University of Oxford, Imperial College, University of British Columbia, University of Sydney, University of Newcastle and Aalto University. We strive for all PhD students to get a solid international experience during their PhD.
Project description:
The research projects for the advertised positions will be within the areas of machine learning, including the development and analysis of models or computational learning methods or reinforcement learning. Three concrete examples of potential research topics are briefly outlined below. As an applicant you are not required to specify a specific research topic in your application (but you are of course most welcome to do so if you want). Indeed, the topics below are provided mainly to make the advertised positions more concrete. We do welcome own initiatives and the precise research topic of each PhD student will be decided in a dialog between the student and the supervisor after a successful appointment. The three problem formulations that are most relevant for this opening are the following:
Duties: The position is for a maximum of five years and includes departmental duties at a level of at most 20 % (typically teaching).
Requirements: 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.
Additional qualifications: Experience in machine learning or computational statistics is valued.
The application should include a statement (at most 2 pages) of the applicant’s motivation for applying for this position, including the candidate’s qualifications and research interests and evidence of self-motivation and constructive teamwork. The application should also include a CV; degrees and grades (translated to English or Swedish); the Master’s thesis (or a draft thereof, and/or some other self-produced technical text), publications, and other relevant documents. References with contact information and up to two letters of recommendation may be provided. 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.
Rules governing PhD students are set out in the Higher Education Ordinance chapter 5, §§ 1-7 and in Uppsala University's rules and guidelines http://regler.uu.se/?languageId=1.
Uppsala University strives to be an inclusive workplace that promotes equal opportunities and attracts qualified candidates who can contribute to the University’s excellence and diversity. We welcome applications from all sections of the community and from people of all backgrounds.
Salary: According to local agreement for PhD students.
Starting date: As soon as possible or as otherwise agreed.
Type of employment: Temporary position according to the Higher Education Ordinance chapter 5 § 7.
Scope of employment: 100 %
For further information about the position please contact: see http://www.it.uu.se/ (the department) or contact: Prof. Thomas Schön (thomas.schon@it.uu.se), Dr Dave Zachariah (dave.zachariah@it.uu.se), Dr Niklas Wahlstöm (niklas.wahlstrom@it.uu.se) or Dr Per Mattsson (per.mattsson@it.uu.se).
Please submit your application by March 27, 2020, UFV-PA 2020/670.
Are you considering moving to Sweden to work at Uppsala University? If so, you will find a lot of information about working and living in Sweden at http://www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.
Type of employment | Temporary position |
---|---|
Contract type | Full time |
First day of employment | As soon as possible |
Salary | Fixed salary |
Number of positions | 3 |
Full-time equivalent | 100 % |
City | Uppsala |
County | Uppsala län |
Country | Sweden |
Reference number | UFV-PA 2020/670 |
Union representative |
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Published | 21.Feb.2020 |
Last application date | 27.Mar.2020 11:59 PM CET |