Assistant Professor in Computer Vision

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 (deep learning) for inverse problems such as reconstruction, segmentation and registration.

Information about the project
The development of computer vision, machine learning and robotics has come a long way but there remains a lot of work to merge the technologies into a functioning integrated system to give us truly smart robots. The use of robotic computer vision today is limited to very specific scenarios or controlled laboratory environments. In the interdisciplinary project Semantic Mapping and Visual Navigation for Smart Robots, which recently has received funding from the Swedish Foundation for Strategic Research, we rely on expertise from computer vision, achine learning, automatic control and optimization in order to take the current state-of-the-art in autonomous systems to the next level of perception, cognition and navigation, and towards key capabilities of robots able to effectively act in the real world. You will be part of this project, which is a collaboration between Chalmers and Lund University (Centre for Mathematical Sciences and Dept of Automatical Control).

Major responsibilities
Research and active participation in the interdisciplinary project Semantic Mapping and Visual Navigation for Smart Robots. Supervision of PhD students and Master thesis projects. Teaching at undergraduate and graduate level.

Your primary duty as non-tenured assistant professor is to perform your own research, generally as a member of a research group. The position also includes teaching for about 20 per cent of your working hours, primarily on undergraduate and master's levels, as well as supervising PhD students to a certain extent. Another important aspect involves collaboration within academia and with society at large. The position is meritorious for future research duties within academia as well as industry/the public sector.

Position summary
Full-time temporary employment for a maximum of four years. Progress will be assessed after two years. You are expected to achieve associate professor expertise within four years.

Qualifications
Mandatory is a PhD in Computer Vision or equivalent. The degree should generally not be older than five years. Mandatory is also to i) have published in the major scientific journals within the field and ii) have presented your research and participated at the main international conferences, especially ICCV, ECCV and CVPR.

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 on undergraduate level 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 deadline: 16 August 2016


*** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   



Chalmers University of Technology conducts research and education in engineering sciences, architecture, technology-related mathematical sciences, natural and nautical sciences, working in close collaboration with industry and society. The strategy for scientific excellence focuses on our eight Areas of Advance; Built Environment, Energy, Information & Communication Technology, Life Science, Materials Science, Nanoscience & Nanotechnology, Production and Transport. The aim is to make an active contribution to a sustainable future using the basic sciences as a foundation and innovation and entrepreneurship as the central driving forces. Chalmers has around 11,000 students and 3,000 employees. New knowledge and improved technology have characterised Chalmers since its foundation in 1829, completely in accordance with the will of William Chalmers and his motto: Avancez!