PhD student in medical image analysis
|Published||February 24, 2023|
Join our team team working on developing state-of-the art machine learning image analysis models to solve clinically important tasks focused on disease prediction. Our work is highly multi-disciplinary and you will collaborate with computational as well as medical experts.
This position is focused on research in applications of image analysis, specifically developing automatic methods to interpret images and signals from medical imaging systems. The project aims to develop models to predict and prognosticate lung cancer, using mainly computed tomography images (3D x-ray), but possibly other medical imaging modalities such as x-ray and nuclear medicine imaging. 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. Our research is highly multi-disciplinary and will be performed in close collaboration with medical researchers from Sahlgrenska Academy at Gothenburg University and other medical institutions within Sweden and on the international scene.
Information about the research group
The Computer Vision Group at the Department Electrical Engineering 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, as well as application to medical problems.
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 percent of working hours.
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). You should be highly motivated, independent, curious, and creative, with sound programming skills as well as machine learning and/or image analysis experience. Furthermore, you should be a good colleague who values teamwork and enjoys working in a collaborative environment. Prior teaching experience or education/experience in medical subjects are not required but meritorious.
The position requires sound verbal and written communication skills in English. Swedish is not a requirement but Chalmers offers Swedish courses.
Full-time temporary employment. The position is limited to a maximum of five years.
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.
The application should be marked with Ref 20230129 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: CV, Family name, Ref. number)
• 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
• 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.
Application deadline: 15 March, 2023
For questions, please contact:
• Associate professor Ida Häggström, Computer vision and medical image analysis, email@example.com.
• Postdoc Jennifer Alvén, Computer vision and medical image analysis, firstname.lastname@example.org.
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