Associate Professor in AI for Health and Medical Technologies at SDU Career Site

Odense, Region of Southern Denmark, Denmark -

Full Time

Start Date

Immediate

Expiry Date

30 Jul, 26

Salary

0.0

Posted On

01 May, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Health Informatics, Artificial Intelligence, Machine Learning, Medical Technologies, Digital Health Systems, Clinical Decision Support, Natural Language Processing, Generative AI, EHR Analytics, Population-Level Health Data Science, Multimodal Machine Learning, Medical Image Processing, Computer Vision, Disease Modelling, Human–Machine Interaction, Research Leadership

Industry

Higher Education

Description

The Maersk Mc-Kinney Moller Institute [https://www.sdu.dk/en/om_sdu/institutter_centre/mmmi_maersk_mckinney_moeller], University of Southern Denmark (SDU) in Odense invites applications for positions as Associate Professor in AI for Health and Medical Technologies. SDU Health Informatics and Technology [https://www.sdu.dk/en/forskning/healthinformaticsandtechnology] (HIT) strives to develop novel and ready-to-deploy technical solutions in a transdisciplinary manner. SDU HIT has a large portfolio of transdisciplinary projects involving numerous partners from healthcare, academia, industry and network organizations. The Maersk Mc-Kinney Moller Institute is an internationally recognized research department with strong research units in robotics, drones, artificial intelligence, software engineering, energy informatics, and health informatics and technology. Denmark is known to be a great place to live and work. There is a high quality of life in and around Odense, and at SDU we value a well-functioning work-life balance. More information about the benefits may be found here [https://www.sdu.dk/en/om-sdu/job-sdu/international-staff/living-in-denmark]. Job description and expected profile Successful candidates are expected to lead an innovative research program in health informatics, digital health systems, and AI-driven medical technologies, with a strong record of developing clinically relevant machine learning models. The role includes active collaboration with colleagues and management to attract external research funding, supported by the candidate’s documented success in securing major national and international grants. Candidates for this position must have a solid research background within (at least one, preferably several of) the following fields: * Health Informatics and Digital Health Systems * AI-Driven Clinical Decision Support and Medical Technologies * Clinical Natural Language Processing and Generative AI * Electronic Health Record (EHR) Analytics and Population-Level Health Data Science * Multimodal and Integrative Machine Learning for Healthcare * Medical Image Processing and Computer Vision * Disease Modelling, Progression Analysis, and Trajectory Modelling The successful applicant will be expected to provide outstanding education, supervise bachelor, master and PhD level students. Candidates for this position must have a solid education that enables them to teach within (at least one, preferably several of) the following fields: * Health Informatics and Digital Health * Human–Machine Interaction (decision support system, user-centred design) * Programming, applied machine learning, and data-driven system development Candidates must hold a PhD. In the assessment of candidates, consideration will be given to: * Research demonstrated by publications in relevant scientific journals and conferences * Experience in interdisciplinary research collaboration * Teaching experience * A relevant international network for research and collaboration activities, research experience abroad * Experience in attracting funding for research projects, and demonstrated experience in research leadership Overall, the candidate brings a strong combination of technical expertise, clinical collaboration experience, extensive publication and grant success, and leadership in applied AI for healthcare, making them well suited for this position. Further information  For questions about the position, please contact Head of Unit, Professor Daniel Teichmann date@mmmi.sdu.dk [date@mmmi.sdu.dk]. If you experience technical problems, please contact our email support [hcm-support@sdu.dk]. Application Applicants are advised to read the SDU information on how to apply [https://www.sdu.dk/en/om-sdu/job-sdu/soegjob]. Assessment of the candidates is based on the application material, and theapplication must include: * Research statement (max 4 pages). * Motivated application. * Curriculum Vitae. * Master’s and PhD degree certificates or equivalent (original and an official English translation) * Complete list of publications. * Publications most relevant to the position. * Summary and documentation of experience in teaching. You may attach as a Teaching Portfolio [https://www.sdu.dk/-/media/files/om_sdu/ledige_stillinger/ansoegere/tek/teaching-portfolio-2009_2025.pdf]. * List of supervised projects and acquired third party funding, if any. * References/reference letters may be included. * A statement/documentation of other qualifications relevant to the position may also be included. 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. SUBMISSION GUIDE: Motivated application shall be uploaded under ‘Cover letter’ (max. 5 MB), Curriculum Vitae shall be uploaded under ‘Resume’ (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 May 31, 2026, 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. [https://www.sdu.dk/-/media/files/om_sdu/ledige_stillinger/ansoegere/shortlisting_en.pdf] Interviews and tests may be part of the overall evaluation. Read about the Assessment and selection process [https://www.sdu.dk/-/media/files/om_sdu/ledige_stillinger/ansoegere/tek/assessmentandselectionprocess11-2020.pdf]. Conditions of employment Appointment as an associate professor is permanent, and the preferred start date is from October 1, 2026, but can be modified in agreement with the successful candidate. 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 including the associated circular on the protocol for the job structure for academic staff at Danish universities and the provisions for associate professor as described therein. Further information on salary and taxation. [https://www.sdu.dk/en/om-sdu/job-sdu/international-staff/working-in-denmark] Persons employed in the position may, based on a specific individual managerial assessment, be exempted from time registration, also known as a “self-organizer”. The University of Southern Denmark wishes its 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, is subject to a number of security measures. Therefore, based on information from open sources, background checks may be conducted on candidates for the position(s). Further information [https://www.sdu.dk/en/om-sdu/international-staff] for international applicants about entering and working in Denmark. You may also visit WorkinDenmark [https://www.workindenmark.dk/] for additional information. Further information [https://www.sdu.dk/en/om_sdu/fakulteterne/teknik] about The Faculty of Engineering.

Responsibilities

The successful candidate will lead an innovative research program in health informatics and AI-driven medical technologies while securing external research funding. They are also expected to provide high-quality education and supervise students at the bachelor, master, and PhD levels.