Associate or Assistant Professor positions in Clinical Machine Learning and Artificial Intelligence

To support our advancements in clinical artificial intelligence (AI) between the university of Southern Denmark (SDU) and Odense University Hospital (OUH), the team of Applied AI and Data Science (AID) and the Danish Center for Clinical Artificial Intelligence (CAI-X) invite candidates to apply for Associate or Assistant Professor positions within clinical machine learning and AI.

Research and organizational environment

The candidates will join the research group of Applied AI & Data Science (AID) at the Maersk Mc-Kinney Moller Institute (MMMI) as part of The Faculty of Engineering, and CAI-X at the research and innovation unit at OUH. These research environments provide the foundations for accelerating AI in health care representing expertise in artificial intelligence, statistical machine learning, biostatistics and epidemiology, and data science by developing methods for data-driven solutions in the healthcare sector and in clinical research activities spanning across all health specialties.

The vision for clinical AI and machine learning is that it will radically change the healthcare sector and transform the way clinicians work through novel innovative data-driven solutions that, in the end, will benefit the patients. To achieve this vision, SDU and OUH established the joint Centre for Clinical Artificial Intelligence (CAI-X) as a research and innovation unit. CAI-X works for improving quality in healthcare through intelligent use of data and technology and ensuring implementation of artificial intelligence solutions to benefit both health professionals and patients. Senior members of AID that are affiliated with CAI-X have expertise in machine learning and AI, while clinical members of CAI-X are healthcare professionals. Candidates with hybrid expertise are preferred. The center has established a framework that supports efficient collaboration between clinical staff, researchers, engineers, and businesses both nationally and internationally with more than 30 ongoing projects in 20 different clinical areas.

Candidate’s physical place of work will be in Odense shared at both SDU and OUH. AID is located at Maersk Mc-Kinney Moller Inst. with an impressive track record in robotics and AI. CAI-X is located at the Department of Clinical Development, Innovation & HTA at OUH, which also covers two additional Research and Innovation centers namely Centre for Innovative Medical Technology (CIMT) and the Centre for Clinical Robotics (CCR).

Qualifications

We invite motivated candidates with expertise in artificial intelligence and machine learning to apply. We will specifically look for candidates with documented record of accomplishment in conducting relevant technical research in the area of health care. The preferred candidate holds a Ph.D. Degree in Electrical Engineering, Computer Science, Biostatistics and Epidemiology, Physics or Mathematics or related areas and will be able to contribute to the development of a strong AI research environment at both SDU and OUH. The candidate must be fluent in English and/or Danish. If English or Danish is not your fluent language, applicants must document their language proficiency level when applying.

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

Responsibilities

Your primary responsibility is to utilize and leverage the broad technical and clinical research and to support the long-term vision of SDU and OUH being world-leading organizations in the field of clinical artificial intelligence. This follows the research strategy, which functions as backbone in one of the first centers (CAI-X) of its kind dedicated to working on AI across a large variety of clinical areas.

Your responsibilities will be to:

• Develop, implement, and execute clinical AI-focused projects.
• Utilize cutting edge AI and machine learning solutions in the clinical setting – especially within heterogeneous clinical data, such as imaging, Electronic Health Records (EHR) and structured, semi-structured and unstructured data in general.
• Provide technical input and support for ongoing and new collaborations between researchers from SDU and OUH.
• Enroll in teaching activities at AID and Department of Clinical Research for both undergraduate and graduate level.
• Contribute to fundraising efforts and outreach activities that take place at both AID and CAI-X.

For further information about the positions, please contact

• Information on the position and technical research environment (AID) and SDU: Head of Applied AI and Data Science unit Prof. Esmaeil S. Nadimi [email protected]
• Information on the position and the research environment at OUH (CAI-X): Head of Innovation Thomas K Kristensen at [email protected] / +45 23719724
• Information on CAI-X and responsibilities (OUH): Programme Manager Peter Børker Nielsen at [email protected] / +45 24607692

Conditions of employment

The appointment as Associate Professor is permanent, while Assistant Professorship is for an initial period of 3 years.

Employment as assistant or associate professor level requires scientific qualifications at PhD level. 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 links for more information on salary and taxation.

The hospital and the university wish 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 (as pdf. files):

• A letter stating the interest, motivation, and qualifications for the project (max. 2 pages) – State clearly which level (Associate or Assistant Prof.) you are applying for.
• Research plan (Assistant Prof.: max. 2 pages, Associate Prof.: max. 3 pages)
• Detailed CV
• A complete list of publications
• Certified copy of diplomas, Ph.D. degrees in the relevant field and documentation of your language proficiency if relevant
• Associate Prof.: 5 most relevant publications in which the applicant wishes to rely on (preferably the applicant being the first author). Assistant Prof.: 3 most relevant publications in which the applicant wishes to rely on.

Attached files must be in Adobe PDF format. Each box can only contain a single file of max. 10 Mb.

Applications must be submitted electronically using the link "Apply online".

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. Please follow this link for more information about the Assessment and selection process. Shortlisting may be used.


The deadline for application is April 14th, 2023. Job interviews are expected to be held during April and May 2023.

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 https://www.SDU.dk/en/om_SDU/international_staff 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 Faculty of Engineering at SDU

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.

Department of Clinical Development, Innovation & HTA at OUH

The Department of Clinical Development is one of five staff functions at OUH, which supports the clinical departments in the OUH principle of putting the patient first. The innovation unit works with strategic innovation, and we use new technology to improve treatment, methods, and workflows at the hospital. Besides CAI-X, two other research and innovation centres are located in Department of Clinical Development: Centre for Innovative Medical Technology (CIMT) and Centre for Clinical Robotics (CCR). Read more about Innovation at OUH here.