Tuesday 12 January 2016

PhD student position in Computer Vision, Department of Signals and Systems

At the Department of Signals and Systems, we conduct internationally renowned research in biomedical engineering, antenna systems, signal processing, image analysis, automatic control, automation, mechatronics, and communication systems. We offer a dynamic and international research environment with about 150 employees from more than 20 countries, and with extensive national and international research collaborations with academia, industry and society.

The department provides more than 70 courses, of which most are included in the Master’s Programs ”Biomedical Engineering”, ”Systems, Control and Mechatronics”, and ”Communication Engineering”.

Read more at www.chalmers.se/en/departments/s2.

Information about the research group
The Computer Vision Group conducts research in the field of automatic image interpretation. The group targets both medical applications, such as the development of new and more effective methods and systems for analysis, support and diagnostics, as well as general computer vision applications including autonomously guided vehicles, image-based localization, stereo and structure-from-motion. The main research problems include mathematical theory, algorithms and machine learning for inverse problems such as reconstruction, segmentation and registration.

Information about the project
State-of-the-art systems for 3D reconstruction from 2D images are mainly based on geometric concepts and the resulting, reconstructed 3D model is a purely geometric description of the scene. In this project, we would like enhance the model with semantic information, and be able to recover both scene geometry and semantics simultaneously. The idea is that by recovering both semantics and geometry, the two different sources of information will complement and support each other in order to improve the interpretation of the scene.

The research will be focused on mathematical tools appropriate for the above challenge. We have previously worked a lot on geometric reconstruction methods and this will form the basis for the new project. Another relevant example from our current research is the development of mathematical models and optimization methods for Markov Random Fields (MRFs) in combination with Deep Learning. This will be key in order to combine geometry and semantics within a single, joint framework.

Major responsibilitiesYour major responsibilities are to pursue your own doctoral studies. You are expected to develop your own scientific concepts and communicate the results of your research verbally and in writing, both in Swedish and in English. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.

Position summaryFull-time temporary employment. The position is limited to a maximum of five years.

QualificationsTo qualify as a PhD student, you must have a master's level degree corresponding to at least 240 higher education credits in a relevant field (physics, mathematics or computer science).

The position requires sound verbal and written communication skills in Swedish and English. If Swedish is not your native language, you should be able to teach in Swedish after two years. Chalmers offers Swedish courses.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.
Application procedureThe application should be marked with Ref 20150539 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
  1. Application: (Please name the document: APPLICATION, Family name, reference number)
    − CV
    − Other, for example previous employments or leadership qualifications and positions of trust.
    − Two references that we can contact.
  2. Personal letter/Qualifications: (Please name the document as: QUALIFICATIONS, family name, ref. number) 1-3 pages where you introduce yourself present your qualifications and describe your future research plans.
    − Previous research fields and main research results.
    − Future goals and research focus. Are there any specific projects and research issues you are primarily interested in?
  3. Other:
    − Copies of bachelor and/or master’s thesis.
    − Attested copies and transcripts of completed education, grades and other certificates, eg. TOEFL test results.
Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 24 January 2016

For questions, please contact:Professor Fredrik Kahl, e-mail: fredrik.kahl@chalmers.se
Assistant professor Olof Enqvist, e-mail: olof.enqvist@chalmers.se

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