Skilled and committed employees are a crucial factor in the success of Linköping University. And we need more of them. Our core expertise comes from teachers and researchers, but a successful university requires experienced and motivated employees in many fields. Everyone is important. We need to recruit many new employees thanks to, among all, an expansion in our research activity. We need you here. We look forward to receiving your application!

The Department of Biomedical Engineering is a national centre for education and research in biomedical engineering. Our work is guided by the needs of the healthcare sector and is carried out in close collaboration with hospital clinics and the biomedical industry.

Our aim is to be a catalyst in the biomedical engineering innovation system of the future – an arena for leading international researchers and teachers, where new knowledge is created and disseminated. By integrating biomedical research, healthcare and the business sector, we help improve people’s quality of life worldwide. Read more at

hereby advertises a position as  
Postdoc in deep learning for medical images
formerly based at the Department of Biomedical Engineering

Your duties
A Postdoc will essentially carry out research. The position may also involve teaching, but during no more than a fifth of work time.

In the EU-project ASSIST, different deep learning methods for analyzing medical images will be developed and tested. The focus will be on creating synthetic images using GANs, and to train networks using federated learning. The project will be carried out in collaboration with the Swedish companies RaySearch, Inovia, Spectronic and Eigenvision.

The postdoc may also be involved in other projects where deep learning is used for analyzing medical images.

Your workplace
You will work at the department of biomedical engineering, a department where many interesting projects are ongoing. You may also be affiliated with the center for medical image science and visualization (CMIV), where engineers and medical doctors work together to accomplish more than what is possible without interdisciplinary research. You will have access to state-of-the-art-hardware for deep learning, within the research group but also through Sweden’s new supercomputer called Berzelius.

Yor qualifications
The position requires a doctorate or an equivalent degree from a foreign university. The doctorate shall have been obtained no longer than three years before the expiration date of the application.

We are looking for a candidate with a PhD in (medical) image processing, computer science or machine learning. Experience with CNNs and deep learning tools such as Tensorflow, Pytorch and Keras is expected. Experience with GANs (generative adversarial networks) and federated learning would be advantageous. We expect that you can work independently, that you are curious and have good collaborative skills, as the project is performed in collaboration with several companies. The language used within the project is English.

Appointment time
A Postdoc is appointed until further notice, but for no longer than two years. The appointment can be renewed if there are special reasons.

Starting date
By agreement.

The University applies individual salary scales adapted to the experience of the employee and to the labour market.

Union representatives
Information about union representatives, see Help for applicants.

Application procedure
Apply for the position by clicking the “Apply” button below. Your application must be received at latest November 2nd 2021.

Applications and documents received after the date above will not be considered.

Linköping University will continue to develop as an attractive and creative place of work, characterized by equal terms and actively works for equality and diversity.

We look forward to receiving your application!

Linköping university has framework agreements and wishes to decline direct contacts from staffing- and recruitment companies as well as from vendors of job advertisements.

Contact persons

Anders Eklund

Associate professor

Christine Ericsson

HR Partner

+46 13 28 66 97

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