Assistant Professorship in Artificial Intelligence and Machine Learning

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 an Assistant Professorship position to help us bring AI and machine learning into more diverse specialities with a focus on data driven solutions within medical applications and renewable energy. The application deadline is December 31, 2024, at 11.59 PM/23.59 (CET/CEST)
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 an Assistant Professorship position to help us bring AI and machine learning into more diverse specialities with a focus on data driven solutions within medical applications and renewable energy.

The application deadline is December 31, 2024, at 11.59 PM/23.59 (CET/CEST)

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 Møller Institute. In collaboration with several University Hospitals and industrial partners across Denmark and Europe, these research environments provide the foundation for accelerating AI in the energy and health care 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.

Qualifications
We would like to appoint a talented and committed colleague, holding a Ph.D. degree in Electrical and Computer Engineering, Physics, Mathematics, 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 and background in at least one of the two broad research directions (healthcare/renewable energy).

To participate in our healthcare related research, we seek a strong background and interest in the analysis of heterogeneous unstructured patient data, including biological signals, as well as images and text. Extensive knowledge in large language models (LLMs) and the link to protein language models (PLMs) to target precision medicine is highly advantageous.

To participate in our energy related research, we seek candidates with strong background in scientific computing and physics-infused AI to tackle some of the challenges within fusion energy and optics.

We invite motivated candidates with a background in any one of these research directions to apply, while a background in both directions would be preferred. 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 possibility of collaborating with researchers working with bio and soft robotics, drones and autonomous systems, among others.

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

Responsibilities
Your 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 centre in the field of applied artificial intelligence and machine learning. 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 will be to:

• Develop, implement, and execute industrial AI-focused projects in close collaborations with our partners.
• 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.
• Give technical input and support for ongoing projects and establish new collaborations.
• Contribute to teaching activities at SDU, and outreach activities targeting younger research candidates.
• Contribute to fundraising efforts that take place at AID.

For further information about the positions, please contact
Head of the unit of Applied AI and Data Science (AID), Prof. Nadimi, Esmaeil Nadimi .

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

Conditions of employment
Appointment as assistant professor is temporary and for an 3-year period.

The preferred starting date is May 1, 2025.

During employment, the assistant professor must complete the Lecturer Training Programme.

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

Employment as assistant professor requires scientific qualifications at PhD level at the time of employment.

Assessment and selection process
Read about the Assessment and selection process.

Applications will be assessed by an assessment committee. 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
Applicants are advised to read the SDU information on how to apply and specific faculty information for application at the Faculty of Engineering.

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

• 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.
• Certificates/Diplomas (master’s and PhD degree) – Danish and/or English.
• 3 most relevant publications in which the applicant wishes to rely on.
• Summary of experience in teaching. Please attach as Teaching Portfolio.

UPLOAD GUIDE: Letter stating interest etc. shall be uploaded as ‘Cover letter’, CV shall be uploaded as ‘Resume’. All other documents shall be uploaded as ‘Miscellaneous documents’.

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.

The application deadline is December 31, 2024, 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.

According to the University of Southern Denmark’s internal guidelines, there must be at least three qualified applicants to a position before it can be filled.

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. 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.

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.

Placering: Odense, Denmark