Tenure-Track Assistant Professors and Associate Professors in Artificial Intelligence

The team of Applied AI and Data Science (AID) invite motivated candidates with a strong track record in artificial intelligence, machine learning, and data science to apply for the position. We are looking for candidates with a documented track record in developing AI models for applications in different domains, including but not limited to healthcare and green energy. A strong background in both theoretical AI research and experience applying models to real-world data such as medical data will be considered a strong advantage.

We believe in fostering a stimulating, interdisciplinary, and inspiring environment, where researchers collaborate across domains. The successful candidates will have the opportunity to work closely with experts in life sciences and green energy, particularly biocomputing and fusion energy, with focus on data-driven approaches, and to take part in clinical and industrial collaborations that ensure real-world impact of AI innovations.

The candidate must hold a Ph.D. degree in Electrical Engineering, Computer Science, Biomedical Engineering, Physics or Applied Mathematics and teaching qualifications commensurate with the position as tenure track assistant or associate professor. The successful applicant will be expected to contribute to the development of a strong and internationally visible research environment at the Faculty of Engineering (TEK) at SDU. 

Qualifications:

• Ph.D. in Electrical Engineering, Computer Science, Biomedical Engineering, Physics, or Applied Mathematics.
• Teaching qualifications appropriate to the level of appointment (Assistant vs. Associate Professor).
• Strong publication record in top-tier international venues.
• Experience in collaborative, interdisciplinary projects is an advantage.

We particularly welcome applicants with expertise in:

• Trustworthy and explainable AI (reliable, transparent, and actionable models).
• Quantum algorithms for scalable AI.
• Machine unlearning for responsible, privacy-preserving AI.
• AI for biocomputing and precision medicine.
• Multi-omics data analysis.
• Physics-informed AI.

Successful applicants 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 
Your primary responsibility is to utilize and leverage the broad technical, clinical and industrial research and to support the long-term vision of Applied AI & Data Science (AID) team being a world-class center in the field of applied AI 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 applications. The research will be conducted both independently and in collaboration with colleagues at national and international levels. You ensure that your teaching maintains a high academic and didactic standard. 

Your Responsibilities Will Be To:

• Develop, implement, and execute AI-focused projects in close collaborations with medical and industrial partners by bridging interests between research practices.
• Conduct research at the highest scientific level, including publication in top international journals and conferences, and communicating your research in national and international academic networks.
• Disseminate your research to the outside world.
• Give technical input and support for ongoing projects and establish new collaborations.
• Teach and supervise bachelor’s, master's and PhD degree students at SDU, and outreach activities targeted younger research candidates.
• Contribute to fund raising efforts that take place at AID.

Fluency in English is required. Knowledge of Danish is not a prerequisite for application. The hired candidate will be offered Danish courses by the university.

Contact Information

Further information is available from the Head of the unit, Prof. Esmaeil S. Nadimi (esi@mmmi.sdu.dk).

If you experience technical problems, please contact hcm-support@sdu.dk. 

Application

Applicants are advised to read the SDU information on how to apply.

Assessment of the candidates is based on the application material, and an application must include: 

• A letter stating the interest, motivation, and qualifications for the position (max. 2 pages). The letter must clearly state which position (tenure track assistant vs. associate) the applicant is applying for.
• A detailed research plan stating applicants past research projects and achievements, and a 5-year forward-looking plan.
• Detailed Curriculum Vitae. 
• Complete list of publications.
• For associate prof. positions: 10 most relevant publications which the applicant wishes to rely on.
• For tenure track assistant prof. positions: 5 most relevant publications which the applicant wishes to rely on.
• Teaching Portfolio (mandatory for associate professor applicants).
• Summary and documentation of experience in teaching (for tenure track assistant professor applicants).
• Master’s and PhD degree certificates or equivalent (copy of original/official English translation). 
• A statement/documentation of other qualifications relevant to the position may also be included.

SUBMISSION GUIDE: All documents must be in English and PDF format. CPR number (civil registration no.) must be crossed out. All PDF-files must be unlocked and allow binding and may not be password protected. Motivation letter shall be uploaded under ‘Cover Letter’ and Curriculum Vitae shall be uploaded under ‘Resume’ (each max 5 MB). All other documents shall be uploaded under ‘Miscellaneous documents’ (max 10 files of max 50 MB per file). 

The application deadline is December 1, 2025, at 11.59 PM/23.59 (CET/CEST)

Assessment and selection process

Applications will be assessed by an assessment committee. Shortlisting may be applied, and only shortlisted candidates will receive a written assessment. Read about shortlisting at SDU.  Interviews and tests may be part of the overall evaluation.

Read about the Assessment and selection process.  

Conditions Of Employment

The targeted starting date for the position is 1 May 2026, or as soon as possible, thereafter.

The appointment as associate professor is permanent, and the appointment as a tenure track assistant professor is temporary and for an initial 4-year period, with guaranteed assessment for a permanent position as associate professor during the final year of employment. 

Employment as assistant professor requires scientific qualifications at minimum PhD level at the time of employment. During employment, the assistant professor will complete the Lecturer Training Programme. Employment as an associate professor requires academic qualifications at PhD level as well as scientific and teaching qualifications commensurate with the position as an associate professor. Employment will be in accordance with the collective agreement between the Ministry of Finance and the Danish Confederation of Professional Associations for academics in the state with the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for tenure track assistant professor or associate professor as described herein. Further information on salary and taxation. Persons employed in the position may, based on a specific individual managerial evaluation, be exempted from time registration, also known as a “self-organizer”.

Tenure Track at the Faculty of Engineering, SDU

With the tenure track programme at the Faculty of Engineering, SDU, we offer an attractive career opportunity for promising scholars. The tenure track is aimed at the most talented scholars who have established a high level in their current research and other professional work, and those who possess exceptional potential to achieve the highest international level within their research area.

You enter the 4-year programme at assistant professor level and if successful you are promoted to associate professor by the end of the programme, provided an expert assessment committee confirms that you have acquired the international level of scholarly excellence characteristic of associate professors. Indicators of relevant scholarly merits include documented through independent scholarly output, ground-breaking publications, achievement of excellence grants, and international research network.

The tenure track at the Faculty of Engineering, SDU, is a 4-year programme which includes annual performance and development reviews and a midterm evaluation with a written review by an expert panel to ensure the assistant professor’s track to tenured associate professorship. Finally, a formal academic assessment for permanent associate professorship is conducted by an internationally recognized expert assessment committee. If the final assessment is positive, the candidate will be offered a permanent position as associate professor. If the assessment is negative, the assistant professor can recommend a second assessment within the last six months of employment. Thus, a maximum of two academic assessments can take place.

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The University of Southern Denmark wishes our staff to reflect the surrounding community and therefore encourages everyone, regardless of personal background, to apply for the position. SDU conducts research in critical technologies, which, due to the risk of unwanted knowledge transfer, are subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position.

Further information for international applicants about entering and working in Denmark. You may also visit WorkinDenmark for additional information.

Further information about The Faculty of Engineering.

The University of Southern Denmark was established to create value for and with society. Whether our contributions come in the form of excellent research, innovative solutions, education or learning, we must make a positive difference to society and contribute to a sustainable future. We do this by cultivating talents and creating the best environments for research and learning. It is therefore crucial that SDU retains, develops and recruits talent. At the same time, we need to ensure consistently high quality in all our activities – and we can only do that with the right people. The University’s researchers, lecturers, students, managers and technical/administrative staff are the foundation of our success.
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