Doctoral Student or Postdoctoral Researcher in Machine Vision University of Oulu, Center for Machine Vision and Signal Analysis (CMVS)

Doctoral Student or Postdoctoral Researcher in Machine Vision



This is a complementary call inviting applications to the topics of 1) distributed learning/multi-modal learning, 2) computer vision for augmented/virtual reality only. 


Applicants who submitted applications in the previous call (deadline February 28, 2017)do not need to submit again.



The University of Oulu is an international research and innovation university engaged in multidisciplinary basic research and academic education. The University of Oulu is one of the largest universities in Finland with 16,000 students and 3,000 employees. Digital solutions in sensing and interactions is one of the thematic research focus areas of the university.The Center for Machine Vision and Signal Analysis (CMVS) at the University of Oulu, Finland, is inviting applications for positions:



Doctoral Student or Postdoctoral Researcher

 

to work on 1) distributed learning/multi-modal learning, 2) computer vision for augmented/virtual reality.

 

A successful candidate for Doctoral Student or Postdoctoral Researcher position is expected to hold master´s or doctoral degree in computer science, electrical engineering or related areas with previous experience and publications on computer vision, machine learning or vision systems engineering. Strong mathematical and programming skills with C/C++/Matlab/Python are respected. Also, good knowledge of spoken and written English is required.

 

Further details about the positions:

• Start date:  September 2017 (negotiable).

• Duration: minimum 1 year (renewable).

• Salaries according to university salary system, teaching and research personnel (before tax, depending on the qualifications):

- Doctoral Student: 2400-2900 euros per month

- Postdoctoral Researcher: 3300-3700 euros per month

 

CMVS (http://www.oulu.fi/cmvs) provides an inspiring and international research environment. The goal of our research is to develop novel computer vision methods and technologies that create basis for emerging innovative applications. For example, our work on Local Binary Pattern (LBP) methodology, facial image analysis, and geometric camera calibration has been widely cited in the scientific literature, and the results have been applied in many areas of image and video analysis.

 

For further information, please contact 1) distributed learning/multi-modal learning: Assoc. Prof. Guoying Zhao (guoying.zhao AT oulu.fi) 2) computer vision for augmented/virtual reality:  Prof. Janne Heikkilä (janne.heikkila AT oulu.fi).

 

Applying 

 

The application shall be submitted using the electronic application form. (add link here)

 

Please fill out and submit your application together with CV, list of publications, copies of degree certificates, and academic transcript of records (doctoral student candidates) by May 29, 2017 before midnight Finnish time.


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