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The Physics of Medical Imaging division at the Department of Physics, KTH, is one of the leading research groups in the world within the field of photon-counting spectral x-ray computed tomography, an emerging technology which will be the next major advance in medical x-ray imaging. As a research engineer, you will be doing research into deep-learning-based noise reduction methods for photon-counting x-ray CT, with particular focus on networks with tunable parameters. Tasks include training and evaluating neural networks using experimental data from a prototype photon-counting CT scanner and writing research articles. This project is carried out in close collaboration with industry and provides a unique opportunity to contribute to the research front in medical x-ray imaging.
This position may be of interest to persons interested in continuing doing research within this area in the future.
Read more about what it is like to work at KTH
Requirements
Preferred qualifications
It is a strong merit if you have experience in applications of artificial intelligence in medical imaging. It is also commendable if you have an awareness of diversity and equal opportunity issues, with specific focus on gender equality.
Great emphasis will be placed on personal competence and suitability.
You will find contact information to trade union representatives at KTH's webbpage.
Log into KTH's recruitment system in order to apply to this position. You are the main responsible to ensure that your application is complete according to the ad.
The application must include:
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
The employment is valid for a limited time according to the agreement - for up to four months, with access according to agreement.
Other information
Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.
Type of employment | Special fixed-term employment |
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Contract type | Full time |
First day of employment | According to agreement |
Salary | Monthly salary |
Number of positions | 1 |
Full-time equivalent | 100% |
City | Stockholm |
County | Stockholms län |
Country | Sweden |
Reference number | S-2022-1410 |
Contact |
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Published | 02.Sep.2022 |
Last application date | 12.Sep.2022 11:59 PM CEST |