PhD Position in Artificial Intelligence in Cardiology

To support our advancements in artificial intelligence (AI), machine learning and data science at the University of Southern Denmark, the Maersk Mc-Kinney Møller Institute invites candidates to apply for a PhD position to help us tackle challenges in Cardiology with AI and machine learning. The starting date is April 1, 2025, or as soon as possible thereafter.

The application deadline is February 28, 2025, at 11.59 PM / 23.59 (CET/CEST) 

Research and organizational environment

At the University of Southern Denmark (SDU), the candidate will join the research group of Applied AI & Data Science (AID) at the Maersk Mc-Kinney Møller Institute. In collaboration with several universities and partners, in and outside Denmark, AID provides the foundation for accelerating AI in the health sector as well as representing expertise in artificial intelligence, statistical machine learning, and data science by developing methods for data-driven solutions spanning across diverse specialities. The candidate will be working with and complementing a team, including other PhD students and postdoctoral fellows, with strong background in AI. 

Qualifications

We would like to appoint a talented and committed colleague, holding a M.Sc. degree in Mathematics, Data Science/AI, Biomedical Engineering, Electrical and Computer Engineering, or related areas, who will contribute actively to the research environment in our group. We are seeking a candidate with a strong background in AI, machine learning and in general data science, with interests in data-driven approaches to solve health-related problems, and implementation of these solutions into real-world environments in the healthcare sector. To achieve this goal, the candidate should have, among others, strong mathematical background, knowledge and experience in AI, and relevant programming skills. The successful candidate will be able to contribute to the development of a strong AI research environment at SDU. We believe in fostering a stimulating and inspiring environment, so the candidate qualified for the position will have the opportunity to collaborate with researchers working within AI and ML, as well as expert clinicians from different disciplines, including Cardiology and Radiology.

Responsibilities 
Your primary responsibility is to utilize and leverage the broad technical research and to support the long-term vision of AID being a world-class centre in the field of artificial intelligence and machine learning addressing the challenges of the most demanding scientific endeavours. This follows the research strategy, which functions as the backbone in one of the first centres of its kind dedicated to working with AI across a large variety of clinical and technical areas.

Your responsibilities as a PhD candidate will be to:

• Develop, implement, and execute AI in Cardiology projects in close collaboration with our partners.
• Give technical input and support for other ongoing health-related projects and establish new collaborations.
• Contribute to teaching activities at SDU, and outreach activities targeting younger research candidates.

For further information about the positions, please contact
Professor at Applied AI and Data Science (AID) Unit, Victoria Blanes-Vidal .

If you experience technical problems, please contact [email protected].

Conditions of employment

Appointment as a PhD fellow is a 3-year salaried position.

The monthly gross salary incl. pension is 35.707DKR. If you have relevant postgraduate experience, you may be placed on a higher salary step. 

Applicants must hold a master’s degree (equivalent to a Danish master's degree) at the time of enrollment and employment. 

Employment as a PhD fellow governed by the Protocol on PhD Research Fellows signed by the Danish Ministry of Finance and the Danish Confederation of Professional Associations. Further information about salary and conditions of employment.

The successful candidate will be enrolled at SDU in accordance with Faculty regulations and the Danish Ministerial Order on the PhD Programme at the Universities (PhD order).

Assessment and selection process

Read about the Assessment and selection process. 

Applications will be assessed by an assessment committee or an expert. Shortlisting may be applied. Only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU. 

Interviews and tests may be part of the process.

Application procedure

Before applying the candidates are advised to read the Faculty information for prospective PhD students and the SDU information on how to apply. 

Assessment of candidates is based on the application material. Please include the following documents in English: 

• Motivated application stating the interest, motivation, and relevant qualifications for the position (max. 2 pages). 
• Curriculum Vitae.
• Certificates/Diplomas (bachelor’s and master’s degree) – incl. transcripts of grades in Danish and/or English. 
• List of publications and maximum 2 examples of relevant publications (in case you have any publications).
• Completed TEK PhD application form for 5+3 applicants. Find the form at the Faculty website.
• Completed TEK PhD form for calculation grade point average. Find the form at the Faculty website. 
• An official document describing the grading scheme of the awarding universities (if not Danish). 
• Only for applicants from programmes that evaluate thesis/examination project by approved/not approved: Please submit an official and verified written assessment of the thesis or dissertation project from the grade giving institution. The statement must clearly state that the candidate has been among the top 30 pct. in the graduation class for the study programme.
• References may also be included, you're welcome to use the form for reference letter at the Faculty website.

All documents must be in PDF-format. 

Documents must not contain a CPR number (civil registration number) – in this case, the CPR number must be crossed out.

The application and CV must not exceed 10 MB. 

UPLOAD GUIDE: Motivated application shall be uploaded as ‘Cover letter’, Curriculum Vitae shall be uploaded as ‘Resume’. All other documents shall be uploaded as ‘Miscellaneous documents’. 

The application deadline is February 28, 2025, at 11.59 PM / 23.59 (CET/CEST) 

The University of Southern Denmark wishes to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position.

Living and working in Denmark
There are several services available for foreign applicants. International Staff Mobility at SDU provides a variety of services for new employees, guests and people who consider applying for a job at the University of Southern Denmark. 

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

The Maersk Mc-Kinney Moller Institute
The Maersk McKinney Moller Institute (MMMI) is part of the Faculty of Engineering at the University of Southern Denmark. MMMI is an internationally recognized research department, which has maintained a leading position in robotics for more than two decades. The team of Applied AI and Data Science is the main driver of activities within artificial intelligence and machine learning at the University of Southern Denmark. The team has close collaboration with various hospitals in Denmark, and runs projects within AI in gastroenterology, neurology, urology, cardiology, and endocrinology. Furthermore, the team has a long history of collaboration with industrial partners within green and renewable energy.

Further information about The Faculty of Engineering.