Postdoc in Machine Learning for Biomedical Research

Join the AI4OR group a research environment where Artificial Intelligence (AI) and Machine Learning (ML) move beyond theoretical research into solutions that can be translated into real-world healthcare applications. We are seeking a highly motivated postdoctoral researcher to join our research group in the development and application of ML based methodologies for biomedical research and healthcare innovation.

This full-time position is available for a period of two years from 15th of August 2026 with the possibility of extension.

Your work tasks
At the Faculty of Engineering and Science this postdoctoral position offers the opportunity to work on interdisciplinary subjects spanning science engineering and clinical research contributing to advancing healthcare through innovative AI-driven technologies.

The successful candidate will work with real-world clinical data to develop advanced AI/ML approaches for biomedical research challenges including multimodal data integration image analysis longitudinal data modelling predictive modelling and generative AI methods.

Your competencies
The successful candidate is expected to have a strong background in data science statistics and artificial intelligence specifically for solving biomedical problems. The successful candidate should demonstrate hands-on experience in handling large complex and multimodal biomedical datasets for model development using AI/ML alongside high proficiency in programming languages (Python R or similar).

Experience working with radiological images (e.g. CT scans) and associated clinical metadata from hospitals or public domains as well as involvement in projects related to heterogeneous biomedical data integration computer vision development of deployable AI/ML models is considered an advantage.

We value candidates who are proactive collaborative and able to work effectively across multidisciplinary environments with strong written and spoken English communication skills.

Qualification requirements
Appointment as Postdoc requires academic qualifications at PhD level. Applicants must hold a PhD in mathematics computer science statistics bioinformatics engineering or related data science disciplines. Applicants must have documented research experience within AI/ML computer vision or data-driven modelling. Experience in conducting independent research and disseminating results through peer-reviewed publications is required.

Who we are
The AI4OR group operates at the intersection of artificial intelligence and machine learning and operations research and optimization developing advanced computational and decision-support methodologies for complex real-world challenges. The group conducts research spanning both methodological innovation and applied problem solving including novel AI algorithms hybrid AIOR techniques generative and predictive modelling data-driven optimization and intelligent decision-support systems.

Research activities cover applications across healthcare and clinical decision support as well as industrial domains such as logistics routing maintenance planning and autonomous and mobile systems. Within the clinical domain the group develops and applies advanced AI methodologies for disease modelling prediction and clinical decision support with a strong focus on translating data-driven methods into real-world healthcare applications.

The Department of Materials and Production (MP) is a wide-ranging research and educational environment at Aalborg University. The Departments mission is to meet the futures demands for new materials and production systems by directing the whole value chain from basic material understanding to materials applications in mechanical construction industrial production and management. The department has several strong international and innovative research groups that comprise everything from basic science to strategic and applied research. The activities encompass research and education within materials mechanics physics production and industrial management and innovation.

How to apply
Your application must include the following:

• Application stating reasons for applying qualifications in relation to the position and intentions and visions for the position
• Curriculum Vitae (CV)
• Diplomas (masters degree diploma and PhD diploma)
• List of publications with an indication of the attached publications that you wish to be taken into account in the assessment. Youmay attach a maximum of five publications.
• Documentation of teaching qualifications if relevant.
• Dissemination qualifications including participation on committees or boards participation in organisations etc.
• Additional qualifications in relation to the position
• References/recommendations

You can read more about the requirements for your application here.

The application must be submitted via Aalborg Universitys recruitment system which can be accessed under the job advertisement on Aalborg Universitys website.

Aalborg University wants to reflect the surrounding society and has diversity as a core value. Therefore everyone regardless of personal background and orientation is encouraged to apply for the position.

Do you have any questions
If you have any questions about the position you are more than welcome to contact us. You will find contact persons at the bottom of the jobpost.

Further information
Read more about our recruitment process here

The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here.

The hiring process at Aalborg University may include a risk assessment as a tool to identify potential risks associated with new hires ensuring the safety compliance and integrity of the workplace.

Salary and terms of employment
The employment is in accordance with the Ministerial Order on the Appointment of Academic Staff at Universities (the Appointment Order) and the Ministerial Order on Job Structure for Academic Staff at Universities (in Danish) and protocol on certain terms of employment of academic staff at universities (in Danish).

Salary and terms of employment are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) (only in Danish) and protocol on certain terms of employment of academic staff at universities (only in Danish).

There is a mutual probationary period of 3 months for the position.

Aalborg University - Knowledge for the world
Aalborg University is an international workplace with more than 3700 employees. We offer real-world-oriented education and create world-class research results through collaboration between researchers students and public and private companies. This is how we achieve insights new solutions to societal problems and knowledge that changes the world. Our main campus is in Aalborg but we also have campuses in Esbjerg and Copenhagen.