Postdoc in Computer Vision and Machine Learning

This multidisciplinary project is a WASP NEST (Novelty, Excellence, Synergy, Teams) with a total duration of 5 years. In addition to the Postdoc position from this announcement, further postdocs and PhD students have been or will be hired for the research project and with the involvement of a group of industrial partners: H&M, Volvo Cars, Zenseact, and Embellence Group. The NEST will organize regular joint seminars and workshops. Moreover, regular visits among the involved sites are possible and encouraged.

Project description
In recent years, generative neural network models for creation of photo-realistic images have become increasingly popular. Their training results in a low-dimensional latent space representation of a distribution from which new examples can be drawn and images be generated. To be able to control and manipulate the images, one aims for a disentangled latent representation, so that different qualities of the resulting images are kept separate. For example, the shape of an object can be separated from its material properties, the viewing direction and the overall illumination. In this project, we will go one step further and develop disentangled latent representations, not just for individual objects, but for full three-dimensional scenes with multiple objects that might change over time. The goal is to provide support for operations like adding, modifying and removing objects, changing scene conditions, modelling scene dynamics, as well as automatically complete missing parts of the 3D scene.

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 artificial intelligence.

Major responsibilities
Your 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.  

Qualifications
To qualify for the position of postdoc, you must hold a doctoral degree awarded no more than three years prior to the application deadline (according to the current agreement with the Swedish Agency for Government Employers). 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. Swedish is not a requirement but Chalmers offers Swedish courses.

Contract terms
This postdoc position is a full-time temporary employment for two years.

We offer
Chalmers offers a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

Application procedure
The application should be marked with Ref 20220650 and written in English. The application should be sent electronically and be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

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.

Use the button at the foot of the page to reach the application form.

Application deadline: 25-12-2022

For questions, please contact:
Fredrik Kahl, Computer Vision Group
E-mail: fredrik.kahl@chalmers.se

*** 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 six Areas of Advance; Energy, Health Engineering, Information and Communication Technology, Materials Science, 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!