PamiTC Job Board - Posting Details

Title: PhD Student Position in Computer VisionPosted: September 13, 2014
Company/Institution: University of Oulu
Location: Oulu, Finland
Department: Computer Science and Engineering


A fully funded doctoral student position in computer vision is available at the Center for Machine Vision Research at the University of Oulu in Finland.

The topics of interest include image representations and deep learning, image-based three-dimensional modelling and/or object detection and segmentation. The specific research topic will be determined based on the strengths and preferences of the student.

An ideal candidate should have a Master's degree in computer science, signal processing, electrical engineering, physics or mathematics. Also those who are expected to finish their Master's degree by the end of 2014 may apply. Previous research experience and publications are beneficial but not necessary. Good programming skills (e.g. Matlab or C++) and fluency in spoken and written English are required. The starting date is negotiable.

The Center for Machine Vision Research ( is a leading research unit in computer vision in Finland and a creative and stimulating research environment. Current members of our personnel are outstanding researchers from various countries. We continuously publish in top journals and conferences of the field (e.g. CVPR, ECCV, ICCV, TPAMI). We have an extensive international collaboration network and the mobility of our researchers to leading research groups abroad, and vice versa, is intense.

Application Instructions:

For additional information about the position, please contact Dr. Juho Kannala,

If you are interested in joining our group, please submit your complete application (motivation letter, curriculum vitae, school and university score records, and contact details or support letter from one to two academic referees) online through the university's job portal at

The deadline of applications is 19th of October 2014. The review of applicants will start immediately on a rolling basis, so early submissions are strongly encouraged.