The Workplace

KTH in Stockholm is the largest and oldest technical university in Sweden. No less than one-third of Sweden’s technical research and engineering education capacity at university level is provided by KTH. Education and research spans from natural sciences to all branches of engineering and includes architecture, industrial management and urban planning. There are a total of just over 15,000 first and second level students and more than 1,600 doctoral students. KTH has almost 4,300 employees.

KTH Computer Science and Communication is Sweden’s leading research and education institution in Information Technology, with activities at both 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. The applied research includes scientific computing, computer science, computer vision, robotics, neuroinformatics and neural networks, human-computer interaction, media technology, and communication through speech and music. For more information, go to www.kth.se/csc and follow the link to our “international website”.

Assignment

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.

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: 2
The position is a full research position.

Qualification

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

Application

Application deadline: March 30, 2012
Employer's reference number: D-2011-0560

Applications via email to Susanne Bergman:  susanneb@csc.kth.se Write reference number in the email subject. (CV, etc should be sent as an attachment pdf.)

We also accept hard copy applications sent to:

KTH, CSC
Att. Susanne Bergman,
Lindstedtsvägen 3, plan 4,
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

In ambition to improve our work with recruitment we are doing a survey. We therefore want you to answer the following question in your application: Where did you find this ad?

Contact(s) 

 Queries concerning PhD studies at KTH can be directed to:
 Eva-Lena Åkerman, HR Manager
 Phone: +46 8 790 91 06
  ela@csc.kth.se

Queries concerning the project content can be directed to:
Danica Kragic, Professor
Phone: 08-7906729
danik@csc.kth.se

Union representative

David Spangenberg, SACO
Phone: +46 8 790 9437
davidspa@kth.se

Niclas Carlsson, ST
Phone: +46 8 790 8416
nc@kth.se

 Per-Ove Öster, LO/SEKO
 Phone: +46 70 690 8382
  perove@admin.kth.se