Publisher
source

Lund University

Top university

Just Landed

PhD Position in Medical Radiation Physics and Diffusion MRI at Lund University Lund University in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

This is a full-time fixed-term doctoral studentship with a monthly salary. The employment is for four years of full-time doctoral studies, beginning 1 January 2027 or as soon as possible. Up to 20% of working time may be devoted to teaching and departmental duties, with the employment extended accordingly. Lund University also offers employee benefits, generous annual leave and an occupational pension scheme.

Deadline

Dec 1, 2026

Country flag

Country

Sweden

University

Lund University

Apply for this position

Keywords

Computer Science
Biomedical Engineering
Deep Learning
Neuroimaging
Mathematics
Mathematical Modeling
Medical Science
Magnetic Resonance Imaging
Radiation Physics
Diffusion Mri
Physics
Mri Reconstruction

Suggested positions

Publisher
source

Massachusetts Institute of Technology

Country flag

United States

Multiple postdoctoral researcher positions are available through a collaborative appointment between Massachusetts Institute of Technology (MIT) and Harvard Medical School in the USA. The research areas include multiscale cardiovascular modeling , computational physiology , mathematical modeling , medical image processing and analysis , patient-specific cardiovascular simulations , and digital twins . This is a strong fit for candidates with backgrounds in biomedical engineering , mechanical eng...

Computer Science
Biomedical Engineering
Mechanical Engineering
+7 more

1 month ago

Publisher
source

The Hong Kong Polytechnic University

Country flag

Hong Kong

Hong Kong Polytechnic University’s Department of Health Technology and Informatics is recruiting for a project on “Artificial intelligence assisted clinical support system for precision radiation therapy.” The opening includes one Postdoctoral Fellow position (12 months) and two shorter-term Research Associate / Research Assistant posts (6 months each). The work is centered on AI for healthcare, with strong relevance to computer science , biomedical engineering , medical physics , deep learning,...

Computer Science
Biomedical Engineering
Deep Learning
+4 more

1 month ago

Publisher
source

Singapore Institute of Technology

Country flag

Singapore

PhD opportunity at the Singapore-ETH Centre in Singapore focused on AI, machine learning, deep learning, medical image processing, biomechanics , and hip fracture risk prediction . The project aims to build image-based, data-driven models that predict personalised fracture risk directly from routine bone-density or CT scans, and to extend these models to longitudinal trajectories using repeat imaging and clinical risk factors. The successful candidate will work within a team developing AI models...

Computer Science
Biomedical Engineering
Mechanical Engineering
+8 more

1 month ago

Publisher
source

The University of Texas at Arlington

Country flag

United States

The Department of Bioengineering in the College of Engineering at The University of Texas at Arlington is accepting applications for a full-time Postdoctoral Research Associate in Arlington, Texas, United States. The postdoctoral researcher will analyze imaging data, develop methods for the analysis and integration of multimodal neuroimaging, behavioral, and clinical datasets, and build large-scale deep learning models for multimodal neuroimaging. The research aims to construct predictive networ...

Computer Science
Biomedical Engineering
Electrical Engineering
+8 more

Posted Yesterday

Publisher
source

University of Exeter

Country flag

United Kingdom

[Funded studentship with fees covered and a stipend of £21,805 per annum for 2026/7.] PhD studentship at the University of Exeter for research on R2T2-Med: Resource-Aware AI for Scalable and Deployable Medical Image Analysis . This project addresses a major challenge in modern healthcare AI: medical image analysis models can be accurate, but often require high computational power, memory, and processing time. That makes them difficult to scale to population-level research and expensive or imprac...

Computer Science
Biomedical Engineering
Deep Learning
+5 more

6 days ago

About this position

Lund University is offering a doctoral position in medical radiation physics within its Magnetic Resonance Imaging (MRI) research group in Lund, Sweden. The project focuses on diffusion MRI (dMRI), quantitative MRI and the development of methods for accurate assessment of tissue microstructure in the living human brain.

The research will investigate how controlled diffusion encoding can reveal properties such as cell density, cell shape, cell size, blood volume and cell membrane permeability. These measurements will be evaluated as potential imaging biomarkers for improved diagnosis and monitoring of neurological disease. The doctoral researcher will contribute to MRI image reconstruction, image analysis, mathematical modelling, numerical optimisation, image processing, image registration, image correction and deep learning. Programming of the MRI scanner, experimental work and analysis of patient data may also be included.

Applicants must meet Lund University's general and specific doctoral admission requirements, including a relevant second-cycle qualification or equivalent academic background and a master's-level independent project. Particularly relevant preparation includes medical physics, mathematics, mathematical statistics, physics, signal processing, computational methods, medical imaging, MRI or diffusion MRI. Programming experience in Python, MATLAB or equivalent is expected, while knowledge of deep learning and computational MRI research is advantageous. Strong English communication skills and qualities such as independence, analytical ability, creativity, problem-solving and teamwork will be considered.

The position is a full-time doctoral studentship with a monthly salary and is expected to start on 1 January 2027, or as soon as possible by agreement. Doctoral studies normally run for four years. Up to 20% of working time may involve teaching or other departmental duties, with a corresponding extension of employment.

Applications must include a CV, personal letter, academic certificates or diplomas, a copy of the master's thesis and any other relevant supporting documents. Apply through the Varbi recruitment portal by 1 December 2026.

Funding details

This is a full-time fixed-term doctoral studentship with a monthly salary. The employment is for four years of full-time doctoral studies, beginning 1 January 2027 or as soon as possible. Up to 20% of working time may be devoted to teaching and departmental duties, with the employment extended accordingly. Lund University also offers employee benefits, generous annual leave and an occupational pension scheme.

What's required

Applicants must hold a second-cycle qualification, or have completed at least 240 higher-education credits including at least 60 credits at second-cycle level, or possess substantially equivalent knowledge. Specific eligibility requires a degree in medical physics or an equivalent foreign qualification, or another 240-credit higher-education programme including at least 60 credits directly relevant to the doctoral education and an independent master's-level project of at least 30 credits. Selection considers academic results, relevant coursework in mathematics, mathematical statistics, physics, signal processing and computational methods, the quality of the master's thesis and other independent work, spoken and written English, and documented knowledge of medical imaging, MRI, diffusion MRI, mathematical modelling, numerical optimisation, programming such as Python or MATLAB, image processing, image registration, image correction and deep learning. Experience with MRI and computational research, along with independence, analytical ability, creativity, problem-solving and collaboration skills, is desirable.

How to apply

Apply through the Varbi recruitment portal by 1 December 2026. Submit a CV, personal letter explaining your interest and fit, study certificates or diplomas, a copy of your master's thesis, and any additional supporting information such as grades, references or recommendation letters.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.