2 Postdoctoral fellows in Machine Learning – fundamental models and methods - Hiring in process/Finished, not possible to apply

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. An important part of our research is the probabilistic models 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. Data and learning algorithms are also important components of our research. 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 final cornerstone of our research is that of control. Information about our research is available from this popular scientific description https://teknat.uu.se/news/nyhetsdetaljsida/?id=9994&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, University of British Columbia, University of Sydney, University of Newcastle and Aalto University. Thomas Schön is also a fellow of the ELLIS society (https://ellis.eu/) which opens up for collaborations with other leading machine learning groups in Europe and WASP (https://wasp-sweden.org/) for collaborations within Sweden.

Duties/Project description: Research in fundamental methods for machine learning. This postdoctoral position will intensify our work (both method development and applications) in machine learning. The position might also include teaching in machine learning.

Requirements: To qualify for an employment as a postdoctor you must have a PhD degree or a foreign degree equivalent to a PhD degree in a relevant field. The PhD degree must have been obtained no more than three years prior to the application deadline. The three year period can be extended due to circumstances such as sick leave, parental leave, duties in labour unions, etc.

The applicant must have a strong background in method development and the use of machine learning. Publications at leading conferences in machine learning is a requirement.

As a person, you are creative, thorough and have a structured approach. When selecting among the applicants we will assess their ability to be able to independently drive their work forward, to be able to collaborate with others, to have a professional approach and to analyze and work with complex problems. Great emphasis will be placed on personal characteristics and personal suitability.

The employment is for two years and can include teaching up to 20% depending on availability and interest. You are expected to be able to teach in Swedish or English. Excellent knowledge of oral and written English is a requirement.

Other qualifications: Experience of interdisciplinary research.

Application: The application must contain:

1. A curriculum vitae (CV),

2. A copy of relevant grade documents (translated into Swedish or English),

3. A list of publications

4. Up to five selected publications in electronic format

5. A research statement describing your past and current research (max 1 page) and a proposal for future activities (max 1 page).

6. Contact information for two references.

7. A cover letter briefly describing your motivation for applying for this position and the earliest possible employment date (max 1 page).

Salary: Individual salary.

Starting date: As soon as possible.

Type of employment: Temporary position for 2 years according to central collective agreement.

Scope of employment: 100 %

For further information about the position please contact: http://www.it.uu.se/ (the department) or contact: Prof. Thomas Schön (thomas.schon@it.uu.se).

Please submit your application by December 4th 2020, UFV-PA 2020/3931.

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 www.uu.se/joinus. You are also welcome to contact International Faculty and Staff Services at ifss@uadm.uu.se.