Post-doctoral researcher in medical image analysis

Most recent successes of machine learning have been based on methods for supervised learning, fueled by large quantities of humanly annotated training data. This is not a feasible approach in medical image analysis. We are interested in pursuing methods based on semi-supervised and self-supervised learning in combination with the mathematical basis of geometric deep learning in order to provide a principled way of incorporating anatomical knowledge in neural architectures.

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.

Information about the project
This position is focused on research in applications of image analsysis in the biomedical area, e.g. developing automatic methods to interpret images and signals from medical imaging systems and other biomedical sensor modalities. We aim to develop state-of-the-art methods for medical image analysis, based on key enabling techniques from machine learning, estimation, optimization and mathematical modeling. The research will be performed in close collaboration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and from the international scene.

Major responsibilities
Your major responsibility as postdoc is to perform your own research in a research group. The position also includes supervision of master's and/or PhD students to a certain extent. The position is meritorious for future research duties within academia as well as industry/the public sector.

Contract terms
Full-time temporary employment. The position is limited to a maximum of two years (1+1).

Qualifications
To qualify for this postdoc position, you must have a doctoral degree in a relevant field; Computer Vision, Machine Learning, Applied Mathematics or a related field. You are expected to be somewhat accustomed to teaching, and to demonstrate good potential within research and education. To be suitable for the position you need to have good mathematics and programming skills.

The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.

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 20210599 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.

Learn more and apply on Chalmers website: https://www.chalmers.se/en/about-chalmers/Working-at-Chalmers/Vacancies/Pages/default.aspx?rmpage=job&rmjob=10082&rmlang=UK

Application deadline: 30 January, 2022

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


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