Academic staff (AC bachelor's degree) in AI and radiology for the Radiology and Scanning Research Unit (10 hours per week)

The Department of Clinical Medicine at the Faculty of Health, Aarhus University, invites applications for a position as an academic staff member (AC Bachelor) within AI and Radiology, commencing on 1 January 2027, preferably before then, if possible. The position is a part-time appointment of 10 hours per week. The employment is for a fixed term until the 31 of August 2028 which aligns with period 1 and 2 of the project according to the grant agreement.

AURA is the radiology research unit at Aarhus University Hospital and is affiliated with the Department of Clinical Medicine at Aarhus University. We conduct research across a broad range of radiological topics and work closely with clinical departments on projects spanning classical statistical methods, artificial intelligence, language models, and advanced image analysis.

Are you a student of medicine or the natural sciences with an interest in AI, research, and clinical data? As an academic staff member (Bachelor's Degree) in AURA, you will become part of a strong research environment where you will work on cutting-edge projects within AI and radiology. You will have the opportunity to contribute to scientific publications and develop your competencies within research, data analysis, and AI.

As an academic staff member (Bachelor's Degree) at the Department of Clinical Medicine, you will become part of what is likely the largest health sciences research institute in Denmark. Clinical research covers all medical specialties and is carried out in close collaboration with the university hospital and regional hospitals in the Central Denmark Region. We have approximately 30,000 square metres of modern research facilities for experimental surgery and medicine, animal facilities, and advanced scanners.

The department has overall responsibility for the Master's degree programmes in Medicine and Molecular Medicine. The department comprises approximately 670 academic staff members, 500 PhD students, and 160 technical and administrative staff working collaboratively across disciplines. As an academic staff member (Bachelor's Degree), you will be based at Aarhus University Hospital in the Central Denmark Region. You can read more about the department here and about the faculty here .

Your Job Responsibilities

As an academic staff member (Bachelor's Degree), your primary responsibilities will be to contribute to research within AI, clinical data, and advanced image analysis, and to support the development of new research projects within AURA.

Your tasks will primarily include

• Applying Large Language Models (LLMs) to extract structured information from radiology reports and clinical records.
• Contributing to research and quality improvement projects based on clinical data.
• Developing and validating AI-based methods for osteoporosis screening using conventional X-ray images.
• Collaborating with an external industry partner.
• Participating in new AI and radiology projects that are continuously being developed within the research group.
• Contributing to the preparation of scientific publications based on project results, with opportunities for both first authorship and co-authorship.
• Participating in group meetings, journal clubs, and other academic activities.

You will become part of an engaged research environment and will work closely with researchers, clinicians, and fellow students. At the same time, you will have the opportunity to influence the development and direction of the projects.

You will report to Clinical Professor of Radiology Ole Graumann.

Your Qualifications

You are enrolled in a medical or natural sciences degree programme at Master's level and have an interest in research, AI, and data analysis. It is an advantage if you are in the early stages of your Master studies.

We expect that you

• Are motivated to contribute to the projects of others.
• Are able to be physically present at the research unit when compatible with your studies.
• Participate actively in group meetings, journal clubs, and other academic activities whenever possible.
• Are curious, engaged, and motivated to develop as a researcher.

It is an advantage if you have

• Experience with language models or other AI methods.
• Experience with programming, scripting, or statistical analysis.
• Experience in writing scientific publications.
• Knowledge of Linux and command-line based work.

If you lack experience in some of these areas, we still encourage you to apply.

As a person, you possess strong collaborative skills, demonstrate initiative, and contribute positively to a strong academic environment.

We Offer

• 10 hours per week with flexible organisation of working hours.
• A strong and ambitious research environment.
• Opportunities for co-authorship and, where relevant, first authorship.
• Close academic mentoring and collaboration with researchers and clinicians.
• Opportunities for continued collaboration, including a research year or Master's thesis project within the research group.

Questions About the Position

If you have any questions about the position, please contact MD, PhD, and External Lecturer Mathis Rasmussen by telephone at +45 23 80 42 10.

The place of work is AURA, Department of Radiology, Aarhus University Hospital, Palle Juul-Jensens Boulevard 99, DK-8200 Aarhus N, Denmark.

The application deadline is Monday the 9th of November 2026.

We expect to conduct interviews Monday the 23rd of November 2026.

Terms of employment

Salary and terms of employment are governed by the collective agreement for Academics in the State. You will be appointed at basic salary grade 1–6.

Application

Your application must include the following

• Motivated application
• Curriculum Vitae
• Indication of education (a copy of the diplomas should be uploaded)
• References/recommendations can be uploaded separately in the recruitment system

We refer to the faculty’s Guideline for applicants .

Aarhus University’s ambition is to be an attractive and inspiring workplace for all and to foster a culture in which each individual has opportunities to thrive, achieve and develop. We view equality and diversity as assets, and we welcome all applicants.

The application must be submitted via Aarhus University’s recruitment system, which can be accessed under the job advertisement on Aarhus University's website.