Researcher in Medical Radiation Physics with a focus on MR-Physics - Hiring in process/Finished, not possible to apply

The department of Medical Radiation Physics is engaged in research and education in ionizing and non-ionizing radiation, and its use, mainly in medical applications. The major areas are magnetic resonance imaging (MRI), radiation therapy, X-ray physics, and nuclear medicine.

The MR physics research group (https://www.msf.lu.se/mr-physics), situated in the expanding Öresund region in southern Sweden, is active in the field of medical magnetic resonance, and has its primary focus on development of new techniques for assessment of functional information related to perfusion, diffusion, cortical activation/fMRI and flow. Emerging areas in the group encompass high field-studies using CEST as well as quantitative MRI in the brain and in the musculoskeletal system.

Description
Artificial intelligence may be a useful tool in diagnosing diseases. Much research is currently ongoing using machine learning (ML) and deep learning (DL) in various modalities of medical imaging. MRI does not only provide excellent structural information, but can also be used for functional methods such as perfusion, CEST and diffusion. Implementing and using ML / DL for these methods can provide better diagnosis and follow up of treatment in the areas of neurodegenerative diseases and cancer.

Job Assignment
The main project task is to implement AI methods such as machine learning and deep learning in CEST data. Pre-clinical research with optimizing and developing of CEST methods for various diseases may also be included.

The focus of the project is in the sub-field of Magnetic Resonance Physics.

Eligibility
To be eligible, the applicant is required to have a PhD, or an international degree equivalent to a PhD, within the field of MRI or similar.

 Evaluation criteria: 

• Documented experience of research in the field of CEST MRI
• Documented good knowledge about AI
• Documented good knowledge and experience of MATLAB and/or Python programming
• Ability to collaborate with colleagues
• Good knowledge of the English language

Application
The application is to be made online. An incomplete application will not be processed.

 The application must contain: 

• 1 CV
• 2 Copies of certificates and documents that the applicant wishes to claim.