Postdoc position in computer vision and machine learning

Information about the research group
The Computer Vision Group conducts research in the field of automatic image interpretation and perceptual scene understanding. 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 (particularly self-driving cars), image-based localization, structure-from-motion and object recognition. The main research problems include mathematical theory, algorithms and machine learning (deep learning) for inverse problems in artifical intelligence.

Information about the project
We are interested in widening the scope of Deep Learning, which has proven to be a powerful tool for many problems in artifical intelligence, in particular, the subfields computer vision, natural language processing, and audio analysis. Geometric Deep Learning, that is, going beyond Euclidean data, has been identified as a major challenge. The proposed project is based on two approaches for Geometric Deep Learning that are able to learn in a more effective way using less annotated data.

The first one is concerned with the internal network structure and the aim is to inject geometric properties such as invariances and priors into the internal representation by construction. The second one uses the fact that often unlabeled data is abundant and correlated, for instance, through time series measurements and consequently the network output should be correlated as well. This can be turned into a supervisory signal for training a network in a weakly supervised setting.

Major responsibilities
Your major responsibility as postdoc is to perform your own research in a research group. The position also includes teaching on undergraduate and master's levels as well as supervising master's and/or 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. The position is limited to a maximum of two years (1+1).

Qualifications
To qualify for the position of postdoc, you must have a PhD level degree with a background in computer vision, machine learning, or a related field. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. The position requires sound verbal and written communication skills in English. If you have an interest in learning Swedish, Chalmers offers Swedish courses.

Chalmers continuously strives to be an attractive employer. Equality and diversity are substantial foundations in all activities at Chalmers.

Our offer to you
Chalmers offers a cultivating and inspiring working environment in the dynamic city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Application procedure
The application should be marked with Ref 20200219 and written in English. The application should be sent electronically and be attached as pdf-files, as below:

CV: (Please name the document as: CV, Surname, Ref. number) including:
• CV, include complete list of publications
• Previous teaching and pedagogical experiences
• Two references that we can contact.

Personal letter: (Please name the document as: Personal letter, Family name, Ref. number)
1-3 pages where you:
• Introduce yourself
• Describe your previous research fields and main research results
• Describe your future goals and future research focus

Other documents:
• Attested copies of completed education, grades and other certificates.

Please use the button at the foot of the page to reach the application form. The files may be compressed (zipped).

Application deadline: 24th of May - 2020

For questions, please contact:
Fredrik Kahl
Full Professor, Research group leader, Electrical engineering
fredrik.kahl@chalmers.se

Information about the department
At the department of Electrical Engineering we value all our co-workers and we know that a variety of personalities and experiences makes the most creative workplaces. We therefore encourage applicants with any genders, backgrounds and abilities.

Our overall ambition is to contribute to a sustainable future. We aim to create a positive impact on the development of society, both environmentally, socially and economically. Research and education are performed in the areas of Communication and Antenna systems, Systems and Control, Computer vision, Signal processing, Biomedical engineering and Electric Power Engineering. Our knowledge is of use everywhere where there is advanced technology with integrated electronics, no matter if it involves electricity, electrical signals, optical signals or microwaves. The department is a dynamic and international work environment with about 200 employees from more than 20 countries. We collaborate closely with both national and international academia, industry and medical researchers.

*** 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; Building Futures, 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!