Research Associate

Research Group: DeepCamera Research Group – SEM-CMR (Deep semantic volumetric reconstruction of cardiac magnetic resonance imaging) Project

Category: 10 months full-time employment contract

Location: Nicosia, Cyprus, (physical presence required)

Preferred Start Date: 1^st May 2026

Application Deadline: 1^st April 2026 (3 weeks).  Applications will be reviewed on a rolling basis.

No. Of Positions: 1

About the project / position

The successful candidate will work in the area of AI-based medical image analysis with a focus on cardiac magnetic resonance (CMR) imaging. CMR is a powerful non-invasive modality for the diagnosis and management of cardiovascular diseases; however, current analysis methods face limitations related to data sparsity and variability, affecting the accuracy and clinical impact of CMR.  In this role, the successful candidate will develop and validate advanced analysis techniques using deep learning.  They will work under the supervision of the Project Coordinator (Dr. Xenios Milidonis) and will be based at CYENS Centre of Excellence, within a vibrant interdisciplinary research environment combining expertise in AI, image processing, computational methods, and healthcare technologies.

Responsibilities of Research Associate: 

1. Perform data curation, preprocessing, and quality control of clinical CMR datasets
2. Design, train and evaluate a deep learning model for 3D reconstruction of CMR perfusion images
3. Perform image analysis and interpret results in collaboration with the Coordinator and other clinical partners
4. Prepare and publish high-quality scientific manuscripts
5. Contribute to the preparation of project deliverables and dissemination materials
6. Contribute to other activities of the group and the Centre

• Ph.D. / M.Sc. in Medical Imaging, Biomedical Engineering, Computer Science, Artificial Intelligence, or a closely related field
• Demonstrated experience in academic or applied research
• 3 years of relevant experience required
• Experience in experimental design and quantitative evaluation
• Evidence of scientific writing and dissemination (e.g. peer-reviewed journal publications, conference presentations

• Strong programming skills in Python, with experience using deep learning frameworks (e.g. PyTorch or TensorFlow)
• Experience in medical image processing and analysis, preferably in MRI
• Ability to work independently, meet deadlines, and collaborate effectively within an interdisciplinary team
• Strong organisational and problem-solving skills 
• Excellent written and verbal communication skills in English

• Experience with standard medical imaging software (e.g. DICOM viewers, segmentation tools)
• Familiarity with Linux-based computing environments and version control systems (e.g. Git)
• Experience in using statistical methods in medical research

The position offers a fixed remuneration within the range of €28,000 – €33,500, determined by the project budget and scope of responsibilities, in line with the role’s expected contribution.

Equal Opportunities Statement: CYENS Centre of Excellence is an equal opportunity employer. The position is open to candidates internationally. All applications are treated with strict confidentiality.

For full consideration, interested applicants should submit the following items via the online application form and mention the position you are applying for: “Application for Research Associate – SEM-CMR Project”:

Process for Research Associates: 

1. A cover letter which clearly specifies 
     1) contact details, 
     2) employment availability date, 
     3) full-time availability, by May 1^st, 2026,
     4) how experience meets the requirements per job description (max 1 page)  
2. A detailed curriculum vitae in English.
3. Contact details of two University professors or one University professor and one industry referee who will provide the letters.
4. Two representative publications (if applicable).

Incomplete applications will not be accepted.  Applicants who have previously applied to CYENS CoE must submit a new application.

For general enquiries, applicants may contact the HR Department of CYENS, Centre of Excellence at vacancies@cyens.org.cy .