Associate Professor in Clinical AI

Aalborg University; Aalborg; On-site; DKK 800,000 - 1,000,000; Full time

Job summary

At the Center for Clinical Data Science (CLINDA) within Aalborg University’s Department of Clinical Medicine, we invite applications for an Associate Professor in Clinical AI. The position is a five-year appointment starting 1 January 2027 or as soon as possible, with a 20% (7.4 hours/week) workload.

The successful candidate will lead a research group, develop AI models using multimodal data, and collaborate across Europe to advance personalized medicine in cancer and cardiovascular disease.

Qualifications

• PhD in biomedical engineering or related field with clinical data analysis experience.
• Proficiency in Python or R and familiarity with command-line tools.
• Strong publication record in data science and interdisciplinary research.

Responsibilities

• Lead and develop a research group in clinical AI, focusing on multimodal clinical data for decision support.
• Collaborate with national and international specialists to integrate European clinical data for personalized medicine.
• Develop new clinical AI models and solutions and participate in study planning, writing papers and obtaining funding.
• Contribute to collaborative projects with the Center for General Practice and teaching activities in medical AI and data science.

Skills

Python

R

Data analysis

Data management

Scientific writing

English communication

Education

PhD in biomedical engineering or closely related field

Tools

Command-line

Job description

At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Faculty of Medicine, Aalborg University, a position as Associate Professor in Clinical AI is available for appointments as of 1 January 2027 or as soon as possible thereafter. The position is available for five years (until 31 December 2031) and comprises 7,4 hours per week (20%).

Your work tasks

The main responsibility of the position will be to lead and develop a research group in clinical AI with special focus on leveraging multimodal clinical data for clinical decision support. You will work in close collaboration with local, national, and international specialists on integrating the extensive clinical data throughout Europe for personalized medicine in non-communicable diseases like cancers and cardiovascular complications. Your key responsibility will be to develop new clinical AI models and solutions, but you will also take part in the planning of studies, contribute to writing scientific papers as well as acquiring funding. Furthermore, you will get responsibilities in our collaborative projects with the Center for General Practice, Aalborg University. Finally, teaching and supervision duties within medical AI and more generally data science at the Faculty of Medicine, Aalborg University, may be expected.

You should hold a PhD degree in biomedical engineering or a closely related field. You are expected to have experience with data analysis in a clinical context, as well as programming skills in R or Python and familiarity with command-line tools. Experience with data management and the analysis of large datasets is also required, along with a solid publication track record in data science. Furthermore, you should demonstrate strong motivation for interdisciplinary research and possess excellent writing and communication skills in English, supported by a well-developed scientific vocabulary. Read more here.

Qualification requirements

Appointment as an associate professor requires research and teaching qualifications at the level that can be achieved through the satisfactory completion of a period of employment as an assistant professor but may also be obtained in other ways.

It is a precondition that applicants have documented research at an international standard. In addition, applicants are assumed to have received supervision and pedagogical skills development and to have obtained a positive written assessment of their teaching qualifications.

Who we are

The Department of Clinical Medicine provides research-based teaching across all disciplines of the medical degree programme and conducts research within the clinical specialties. The department collaborates closely with hospitals in the North Denmark Region and general practice in both teaching and research. Medical students receive instruction at several hospital sites and in general practice throughout the region. The department is affiliated with approximately 40 research units, each representing a specific medical specialty. In addition, the department is also associated with several other research units and centres. The majority of the department’s staff hold concurrent clinical positions alongside their academic appointments. Read more about the Department of Clinical Medicine here.

CLINDA is a part of the Department of Clinical Medicine, Aalborg University and Aalborg University Hospital and works primarily with methodological development and application of bioinformatics, biostatistics, machine learning, and data management within clinical research. CLINDA is interdisciplinary and employs biostatisticians, bioinformaticians, software developers, and data managers who collaborate with molecular biologists and healthcare professionals throughout the Danish healthcare sector. Based on health care data and molecular biomarkers, the focus is currently on establishing scalable, national decision support tools for personalized medicine. Read more about CLINDA here.

Aalborg University wants to reflect the surrounding society and has diversity as a core value.

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) (in Danish) and protocol on certain terms of employment of academic staff at universities (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 3,700 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.