Sweden : Postdoctoral positions in Machine Learning

KTH is the largest technical university in Sweden. Education and research cover a broad spectrum within natural sciences and engineering, as well as architecture, industrial engineering and management, urban planning, work science and environmental engineering. KTH has 6,955 full-time equivalent students at Bachelor (first) level, 5,545 at Master (second) level, 1,314 at doctoral studies (third) level and 3,900 employees.

CSC is one of Sweden’s most advanced and successful research and education institutions in Information Technology situated at KTH and Stockholm University. The activities of the school focus on higher education and research within the traditional core areas of numerical analysis and computer science; from theory building and analysis of mathematical models to algorithm construction, implementation and simulation. Other core areas of growing importance are technology and methods for the support of human communication and computer mediated cooperation over distances in time and space. The applied research includes scientific computing, computer science, computer vision, robotics, neuroinformatics and neural networks, human-computer interaction, media technology and graphic arts, and communication through speech, language and music. For more information see:

• www.kth.se/csc

go to"CSC International Website".

Each postdoctoral position will be associated with an ongoing project in, e.g. Computer Vision, Robotics and Computational biology. The length of the positions will vary from 1-2 years with possible extension up to 4 years. The applicant is expected to perform full time research of which approximately 50% will be devoted to the associated project. For a closer description of some possible associated projects, please follow the link below.

• http://www.kth.se/csc/om/lediga/lediga-tjanster-1.14957?l=en_UK

Employment

Form of employment: One-two year temporary position.
Work time: Full time
Start date: According to agreement
Number of positions: 3
The position is a full research position.

Qualification

Applicants should have a PhD related to any of the specific fields mentioned or in general com-puter science where Machine Learning forms a substantial component. Good programming skills and experience with large sets of data is also a requirement.

To address its varied work, KTH aims to employ a diversity of talent and thus welcomes applicants who will add to the variety of the University, especially as concerns its gender structure.

Application

Applications via email to:

• susanneb@csc.kth.se

Write reference number in the email subject. (CV, etc should be sent as an attachment preferably pdf-files.)
Alternatively applications by ordinary post to be sent to:
CSC att. Susanne Bergman, KTH, Lindstedtsvägen 3, 4th floor, SE-100 44 Stockholm, Sweden.

An application should include the following information/documents:

1. CV
2. List of publications
3. Copies of PhD diploma and PhD thesis
4. Names and contact details of three reference persons
5. Any other relevant material which the applicant would like to be taken into account

Contact(s)

Queries concerning PhD studies at KTH can be directed to:
Eva-Lena Åkerman, HR Manager
Phone: +46 8 790 9106

• ela@csc.kth.se

Queries concerning the project content can be directed to:
Stefan Carlsson, Professor
Phone: +46 8 790 8432

• stefanc@csc.kth.se

Union representative

Lars Abrahamsson, SACO
Phone: +46 8 790 7058

• lars.abrahamsson@ee.kth.se

Application Deadline : 1 October 2010

Homepage:

Contact Adress:

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Posted on 2010-07-05 12:51:28

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