To support our advancements in artificial intelligence (AI), machine learning and data science at The university of Southern Denmark, the team of Applied AI and Data Science (AID) at the Maersk Mc-Kinney Møller Institute invites candidates to apply for a professor position to help us bring AI and machine learning into diverse clinical specialties.

Research and organizational environmentAt the university of Southern Denmark (SDU), the candidates will join the research group of Applied AI & Data Science (AID) at the Maersk Mc-Kinney Moller Institute. In collaboration with several University Hospitals and industrial partners across Denmark, these research environments provide the foundation for accelerating AI in the health care sector as well as representing expertise in data science, by developing methods for data-driven solutions spanning across diverse medical specialties.

The successful candidate will be also affiliated with the Centre for Clinical Artificial Intelligence (CAI-X), a research and innovation unit established in 2020 as a collaboration between SDU and Odense University Hospital (OUH). The mission of CAI-X is to improve quality in healthcare through intelligent use of data and technology, and to ensure implementation of artificial intelligence solutions to benefit both patients and clinical staff. The center has established a framework that supports efficient and fruitful cooperation between clinical staff, researchers, engineers, and businesses - both nationally and internationally.

Qualifications

We invite motivated candidates with interest in artificial intelligence, machine learning, epidemiology, biostatistics, and in general, data science, to apply. Applicants are expected to have a strong track record of research and scientific publications, and to have well-documented university level teaching credentials. Applicants must hold a PhD degree or equivalent qualifications in the field. The ideal candidate must have experience bridging the gap between data science and clinical research, acting as point of connection between technical and clinical collaborators. We will specifically look for candidates demonstrating versatility by having conducted relevant data science research in diverse health applications, including clinical and observational epidemiological studies. This will enable the successful candidate to contribute to the development of a strong clinical AI research environment at SDU. The successful applicant will join a dynamic research team and will be introduced to and included in teaching activities, research projects, fund raising activities and collaborations to explore the synergy between clinical and technical researchers, healthcare professionals and industrial partners.

Responsibilities The successful candidate primary responsibility is to utilize and leverage the broad technical and clinical research and to support the long-term vision of AID being a world-class center in the field of applied artificial intelligence, machine learning and data science. This follows the research strategy, which functions as the backbone in one of the first centers of its kind dedicated to working with AI across a large variety of clinical and technical areas.

The responsibilities will be to:

• Develop, implement, and execute clinical data science focused projects in close collaborations with clinicians at hospitals by bridging interests between the clinical practice and the technical research.
• Give technical input and support for ongoing projects and establish new collaborations.
• Contribute to teaching activities at SDU.
• Contribute to fund raising efforts that take place at AID.

For further information about the positions, please contactHead of Unit, Prof. Esmaeil S. Nadimi [email protected]

The university wishes our staff to reflect the diversity of society and thus welcomes applications from all qualified candidates regardless of personal background.

Conditions of employmentThe appointment as Professor is permanent.

The successful applicant will be employed in accordance with the agreement between the Ministry of Finance and the Danish Confederation of Professional Associations. Please check link for more information on salary and taxation.

The assessment process
Read about the Assessment and selection process. Shortlisting may be used.

ApplicationThe faculty expects applicants to read How to apply before applying. The application must contain (only as pdf):

• A letter stating the interest, motivation, and qualifications for the position (max. 2 pages).
• Research plan (max. 3 pages).
• Detailed CV.
• A complete list of publications.
• Copy of Ph.D. degree diploma.
• Information on previous teaching and supervision experience, including a Teaching Portfolio.
• 5 most relevant publications in which the applicant wishes to rely on.

Attached files must be in Adobe PDF. Incomplete applications, and applications received after the deadline will neither be considered nor evaluated.

The deadline for application is October 22nd, 2023.

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

Living and working in DenmarkThere 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. Please visit this website for more information. International Community Odense at Municipality of Odense will also offer help for international employees and their families coming to Odense, helping them settle, and introducing them to social networks and activities around the city. Please visit this website for more information.

FACTS

The Maersk Mc-Kinney Moller InstituteThe 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, hepatology, neurology, urology, cardiology, and endocrinology. Furthermore, the team has a long history of collaboration with industrial partners within green and renewable energy.

Read more about AID and the Maersk Mc-Kinney Moller Institute here