PhD student in biomedical engineering, deep learning for medical images

We are looking for a PhD student in biomedical engineering with a focus on deep learning for medical images

Your work assignments

The position focuses on developing methods for federated learning, where AI models are trained without having all data in a single computer. This makes it possible to use larger datasets for training, without sending sensitive data between hospitals. The goal is to develop federated methods which can handle heterogeneous and inconsistent medical data. This involves harmonization of data from different hospitals (without having all data in one place), developing new ways of combining AI models from different hospitals (instead of just calculating the average model), as well as learning and propagating uncertainty in a federation. While the developed methods will be broadly applicable, the main focus will be on medical images. You will become an expert in federated learning for medical images, and also gain knowledge on how AI can be used in healthcare.

As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.

Your qualifications

You have graduated at Master’s level in biomedical engineering, electrical engineering, machine learning, statistics, computer science, or a related area considered relevant for the research topic, or completed courses with a minimum of 240 credits, at least 60 of which must be in advanced courses. Alternatively, you have gained essentially corresponding knowledge in another way.

Specific eligibility for doctoral education in Biomedical Engineering Science is granted to those who have completed course requirements of at least 60 higher education credits at an advanced level in a field relevant to the doctoral subject. The applicant must also be able to demonstrate documented proficiency in English. 

You have knowledge and expertise in computer vision and/or medical image analysis, deep learning as well as mathematics. You have substantial expertise in programming, especially in Python and Matlab.

You are independent, meticulous and work efficiently. Since this employment involves collaboration with researchers at Lund University it is important that you can communicate well with all the involved researchers.

Your workplace

Linköping University is one of the leading AI institutions in Sweden. We have strong links to prominent national research initiatives, such as DDLS, WASP and ELLIIT. You will have access to state-of-the-art computing infrastructure for machine learning, e.g. through Berzelius as well as powerful local computers.

You will work at the Division of biomedical engineering IMT, which conducts research within many different projects connecting medicine and engineering. The available position is within a research group which develops methods for analysis of medical images. The group collaborates with several medical doctors at Linköping University hospital, through CMIV, with different types of expertise. The group also collaborates with other divisions at Linköping University; mainly the computer vision laboratory at the department of electrical engineering (focusing on deep learning for computer vision), and the division of statistics and machine learning at the department of computer and information science (focusing on the theory behind machine learning).

The project will be carried out in a collaboration between Linköping University (main supervisor: Anders Eklund) and Lund University (co-supervisor: Mikael Nilsson) through an ELLIIT collaborative project. The project will also employ a PhD student at Lund University, focusing on developing hybrid architectures for deep learning-based image processing and methods for multimodal medical data. We will strive for a tight collaboration between the groups, including regular meetings and research visits. As a PhD student in the project, you are expected to actively engage in the teamwork and contribute to this collaboration.

The employment

When taking up the post, you will be admitted to the program for doctoral studies in Biomedical Engineering Sciences. More information about the doctoral studies at each faculty is available at Doctoral studies at Linköping University

The employment has a duration of normally four years’ full-time equivalent. Extension of employment up to five years is based on the degree of teaching and institutional assignment. Further extensions may be granted in exceptional circumstances. You will initially be employed for one year, after which your employment will be renewed for a maximum of two years at a time, depending on your progress through the study plan. 

Start as soon as possible or by agreement. 

Salary and employment benefits

The salary of PhD students is determined according to a locally negotiated salary progression, with a starting salary of 36,400 SEK per month. Read more about Doctoral studies at Linköping University

More information about employment benefits at Linköping University is available here.

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 reach Linköping University no later than 2026-02-19 CET.

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