Postdoctoral fellowships in Applied AI and Data Science (AID)

To support our advancements in clinical artificial intelligence (AI) at the university of Southern Denmark (SDU), the Section of Applied AI and Data Science (AID) at the Mærsk McKinney Møller Inst. invites candidates to apply for 2 postdoctoral positions of 18 months each, with the possibility of extension to 2 years, to help us bring AI and machine learning into more clinical specialties.

Research and organizational environment
At 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, at the Faculty of Engineering. Jointly with the Odense University Hospital (OUH) and Svendborg Hospital (Dept. of Surgery), these research environments provide the foundations for accelerating AI in Colorectal disease diagnosis, representing expertise in artificial intelligence, statistical machine learning, epidemiology and data science by developing methods for data-driven solutions in the healthcare sector and in clinical research activities spanning across gastroenterology and colorectal diseases.

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 joint collaboration between SDU and 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 and epidemiology to apply. We will specifically look for candidates with documented track-record in conducting relevant technical and epidemiological research in the area of health care. The candidate must hold a Ph.D. Degree in Electrical Engineering, Computer Science, Mathematics, Epidemiology or related areas. This will enable the successful candidate to contribute to the development of a strong AI research environment at both SDU and OUH. We believe in fostering a stimulating and inspiring environment, so candidates qualified for the positions will have the possibility of extension as Assistant Professors (following the required process). The position is to be filled as soon as possible.

The successful applicant will join a dynamic research team and will be introduced and included in teaching activities, research projects, fund raising activities and collaborations to explore the synergy between clinical and technical researchers, health professionals at both SDU and OUH.

Responsibilities
Your primary responsibility is to utilize and leverage the broad technical clinical research and to support the long-term vision of AID being a world-class center in the field of clinical artificial intelligence. This follows the research strategy, which functions as backbone in one of the first centers of its kind dedicated to working on AI across a large variety of clinical areas. The candidates will primarily conduct research within colorectal diseases, with focus on early diagnosis of colorectal cancer using wireless capsule endoscopy. The second line of research will span over early diagnosis of general gastrointestinal tract disorders, such as Crohn’s disease and Inflammatory Bowel Diseases (IBD).

Your responsibilities will be to:

• Develop, implement and execute clinical AI-focused projects in close collaborations with clinicians at the hospital by bridging interests between the clinical practice and the technical research.
• Explore and utilize the possibilities for addressing AI and machine learning in the clinical setting – especially within heterogeneous clinical data (such as imaging, EHR and structured, semi-structured and unstructured data in general).
• Give technical input and support for ongoing projects and establish new collaborations between researchers from SDU and OUH.
• Contribute to teaching activities at SDU, and outreach activities targeted younger research candidates.
• Contribute to fund raising efforts that take place at AID.

For further information about the positions, please contact

• Head of Applied AI and Data Science unit (AID) Prof. Esmaeil S. Nadimi [email protected]

Salary and terms of employment
The terms of employment are stated in the Agreement between the Ministry of Finance and the Danish Confederation of Professional Associations (AC).

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

Application
The application must contain (only as pdf):

• A letter stating the interest, motivation, and qualifications for the project (max. 2 pages).
• Research plan (max. 2 pages)
• Detailed CV
• A complete list of publications
• Certified copy of diplomas and Ph.D. degrees in the relevant fields
• 2 most relevant publications in which the applicant wishes to rely on (preferably the applicant being the first author)
• We encourage the candidates to provide the contact information of a reference academic

Attached files must be in Adobe PDF. Incomplete applications, and applications received after the deadline will neither be considered nor evaluated. Suitable candidates will be invited for a job interview after the application deadline.

The deadline for application is Sep 1st, 2022. Job interviews are expected to be held during Sep 2022.

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. 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 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.

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