Postdoc in machine learning for biomedical image analysis - Hiring in process/Finished, not possible to apply

Job description

We are currently looking for one Postdoc in machine learning for biomedical image analysis for a joint project between the Department of Applied Physics and the Division of Robotics, Perception and Learning at KTH.

The goal of this project is to explore recent methods in deep learning for microscopic images to identify cells with particular functional properties, such as immune cells and their abilities to kill tumor cells. We will exploit methods that have shown promising results in other areas, but further develop and refine them for biomedical imaging. To automatically identify and harvest cells with certain functional properties has far-reaching potential benefits.

The project is financed by the two large research programs in Sweden, the Wallenberg AI, Autonomous Systems and Software Program (WASP), and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS), with the joint goal to solve ground-breaking research questions across disciplines.

What we offer

• A position at a leading technical university that generates knowledge and skills for a sustainable future
• Engaged and ambitious colleagues along with a creative, international and dynamic working environment
• Plenty of collaboration opportunities in a dynamic research group
• Easy access to GPU clusters and supercomputers
• Help to relocate and be settled in Sweden and at KTH

Read more about what it is like to work at KTH

Qualifications

Requirements

• A doctoral degree or an equivalent foreign degree. This eligibility requirement must be met no later than the time the employment decision is made.
• Independence, demonstrated in research by e.g., first-author publications in high-quality conferences or journals
• Good level of spoken and written English to facilitate collaborations 

Preferred qualifications

• A doctoral degree or an equivalent foreign degree, obtained within the last three years prior to the application deadline
• A strong background in machine learning or related fields 
• We see that you have good practical and theoretical programming skills 
• You as a person have an interest in biomedical imaging and multidisciplinary research
• You are interested in collaborating with others, with doctoral students in particular
• You have no problem to work independently when necessary
• As a person you enjoy working in a socially diverse group with people of different genders, ethnicities, beliefs, and backgrounds

Great emphasis will be placed on personal skills.

Trade union representatives

You will find contact information to trade union representatives at KTH's webbpage.

To apply for the position

Log into KTH's recruitment system in order to apply for this position. You are the main responsible to ensure that your application is complete according to the ad.

The application must include:

• CV including relevant professional experience and knowledge.
• Copy of diplomas and grades from your previous university studies. Translations into English or Swedish if the original documents have not been issued in any of these languages.
• Brief account of why you want to conduct research, your academic interests and how they relate to your previous studies and future goals. Max two pages long.

Your complete application must be received at KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).

About the employment

The position offered is for, at the most, two years.

A position as a postdoctoral fellow is a time-limited qualified appointment focusing mainly on research, intended as a first career step after a dissertation.

Others

Striving towards gender equality, diversity and equal conditions is both a question of quality for KTH and a given part of our values.

For information about processing of personal data in the recruitment process please read here.

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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.