OBS! Ansökningsperioden för denna annonsen har
passerat.
Arbetsbeskrivning
The successful candidate will work on the multidisciplinary WASP-funded NEST project "3D Scene Perception, Embeddings and Neural Rendering", which involves research groups from Chalmers, KTH and Lund University. The research focus is to develop new machine learning methods for scene interpretation and rendering of novel images. The work is by nature interdisciplinary: ranging from mathematics to computer vision and machine learning with the support of a group of industrial partners: H&M, Volvo Cars, Zenseact, and the Embellence Group.
Information about the research and the project
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.
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.
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 also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 per cent of working hours.
Qualifications
To 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.
Contract terms
Full-time temporary employment. The position is limited to a maximum of 5 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 20220090 and written in English. The application should be sent electronically and be attached as pdf-files, as below:
CV: (Please name the document: CV, Family name, Ref. number)
• CV
• Other, for example previous employments or leadership qualifications and positions of trust.
• 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 experience of relevance for the position (e.g. education, thesis work and, if applicable, any other research activities)
• Describe your future goals and future research focus
Other documents:
• Copies of bachelor and/or master’s thesis.
• Attested copies and transcripts of completed education, grades and other certificates, e.g. 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: 27 March 2022.
Read more and apply here: https://www.chalmers.se/sv/om-chalmers/Arbeta-pa-Chalmers/lediga-tjanster/Sidor/default.aspx?rmpage=job&rmjob=10268&rmlang=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!