Postdoctoral fellowship in Image and Signal Processing at Applied AI and Data-Science (AID) Unit

To support our progress in clinical artificial intelligence (AI) at the university of Southern Denmark (SDU), AID invites candidates to apply for an 18-month postdoctoral position (with the possibility of extension to 2 years), joining our endeavors to bring AI and machine learning into play within the European colorectal cancer screening programme.

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, SDU. Together with Odense University Hospital (OUH), these research environments provide the foundations for accelerating AI in health care representing expertise in artificial intelligence, statistical machine learning, 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 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 has in 2020 established the Centre for Clinical Artificial Intelligence (CAI-X) as a joint 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. 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.

Qualifications
We invite motivated candidates with interest in artificial intelligence and machine learning to apply. We will specifically look for candidates with documented track-record in conducting relevant technical research in health care, with the focus on image and signal processing. The preferred candidate holds a Ph.D. Degree in Electrical Engineering, Computer Science, Physics or Mathematics, 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. If English or Danish is not your first 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 research projects and collaborations to explore the synergy between clinical and technical researchers.

The project in which the candidate will be enrolled in is centered around early diagnosis of colorectal cancer by deploying wireless endoscopic capsules. This project (AICE) is a new European grant bringing thirteen research institutes across Europe together. The main task of our team is to develop deep learning-based algorithms to process collected images and to analyze unstructured patient data for early diagnosis of colorectal cancer. We look for candidates with expertise within deep learning for image and signal processing, explainable AI and interpretability methods.

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-leading 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.

Your responsibilities will be to:

• Develop, implement, and execute clinical AI-focused projects in close collaborations with clinicians at the hospital
• Utilize the possibilities for addressing AI and machine learning, especially within heterogeneous clinical data (such as imaging and unstructured data in general)
• Give technical input and support for ongoing and new collaborations between researchers from SDU and OUH, clinical staff in the research projects

For further information about the position, please contact

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

Conditions of employment
The appointment as postdoctoral fellow is for an initial period of 18 months with the possibility of extension to two years.

Employment as a postdoctoral fellow 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.

Application
The application must contain (as pdf-files):

• A letter stating the interest, motivation, and qualifications for the project (max. 2 pages) - upload under “Application form”.
• Research plan (max. 2 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
• 3 most relevant publications in which the applicant wishes to rely on (preferably the applicant being the first author).

Attached files must be in Adobe PDF. 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 March 5th, 2023.

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

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.