Postdoctoral Position in AI Assistants for Clinical Decision Support

Aalborg University; Gistrup; On-site; DKK 400,000 - 550,000; Full time

Job summary

Aalborg University is seeking a full-time postdoctoral researcher to develop AI-based clinical decision support systems, starting December 1, 2026, or soon after. The role involves building an interactive framework with LLMs and RAG, grounded in diverse clinical data, and working closely with clinical partners such as the DC in Farsø.

The position is based in the CLINDA group, with collaboration across hospitals in the North Denmark Region and the Department of Clinical Medicine.

Qualifications

• PhD in computer science or related field is required.
• Strong ML and NLP experience is desirable.
• Experience with health data science is a plus.
• Proficiency in Python for prototyping research ideas.
• Solid mathematical foundation supports algorithm design and analysis.
• Clear communication and collaborative mindset with domain experts.
• Fluency in written and spoken English; Danish knowledge is a plus.

Responsibilities

• Develop AI agent technologies to assist clinical problem solving.
• Create an interactive framework using LLMs and retrieval‑augmented generation.
• Ground reasoning in multi-modal clinical data and patient history.
• Incorporate HITL functionality for user interaction with the agent’s reasoning.
• Collaborate with clinical partners across North Denmark Region hospitals.

Skills

ML experience

NLP experience

Health data science

Python programming

Mathematical foundation

Communication

Collaboration

English fluency

Danish knowledge

Education

PhD in computer science or related field

Job description

At the Center for Clinical Data Science (CLINDA), Department of Clinical Medicine, Aalborg University, we are looking for a full time postdoctoral researcher to join us in developing AI-based systems for clinical decision support in hospitals, starting December 1, 2026, or soon hereafter.

The duration of the position is two years, with the possibility of extension.

Subject

Clinical decision support systems can assist healthcare professionals in diagnosing and monitoring health conditions by integrating information from multiple sources, including clinical notes, laboratory and pathology results, imaging (e.g., X-ray, CT, MRI, and PET), clinical guidelines, and coding resources. Such systems can support clinical decision-making by helping clinicians synthesize heterogeneous clinical information and knowledge.

Your work tasks

The aim of the position is to explore and develop AI agent technologies that can assist healthcare experts in daily clinical problem solving, especially in deciding on the most appropriate next steps in the diagnostic pathway. A central task will be to develop an interactive framework based on large language models (LLMs) and retrieval‑augmented generation (RAG) techniques, capable of synthesizing information from the diverse data types, and further help interpret the findings in the context of individual patients' profile and history. Important research questions include how to design the agent framework; how to represent, retrieve, and utilize information from the different data modalities to ground the system’s reasoning in clinical evidence; how to best incorporate human‑in‑the‑loop (HITL) functionality so users can interact with the agent’s reasoning process; and how to enable forecasting and simulations over multiple time steps.

The project will be conducted in close collaboration with clinical partners, providing access to data‑rich healthcare environments and established diagnostic workflows. One key partner is the Diagnostic Center (DC) in Farsø, Denmark. This setting offers a unique opportunity to develop and evaluate AI‑based clinical decision support systems using real‑world patient data from individuals undergoing diagnostic evaluation for serious conditions, including cancer and other complex diseases.

The position is based in the Clinical AI Group at the Center for Clinical Data Science (CLINDA), Aalborg University and Aalborg University hospital. The successful candidate will be working in close collaboration with healthcare domain experts from clinical departments at hospitals in the North Denmark Region, including Farsø DC.

We are looking for a motivated candidate with the following background, skills, and qualities:

• A PhD in computer science or a related field.
• Proven experience in machine learning, where experience in natural language processing (NLP) is highly desirable.
• Experience or education in health data science or a health‑related field is a plus.
• Good Python programming skills to implement and prototype research ideas.
• A solid mathematical foundation to support the design and analysis of algorithms and systems.
• Curiosity, motivation, and the ability to communicate clearly.
• An open and collaborative approach to working with health‑domain experts, ensuring that research aligns with real‑world needs.
• Fluency in written and spoken English.
• As the project will involve working with journal notes written in Danish, proficiency in Danish or another Scandinavian language is a plus, but not a requirement.

Qualification requirements

Appointmentaspostdoc requires academic qualifications at PhD level.

Who we are

The position is anchored at the Center for Clinical Data Science (CLINDA). CLINDA aims to conduct independent research in the development, application, and implementation of data infrastructures for AI‑based decision support tools and is rapidly growing with currently more than 20 people. This center provides an excellent environment to conduct innovative research with fellow PhD students, postdocs and more senior researchers, and also promote social interactions. 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. Learn more about the Department of Clinical Medicine here.

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 job posting.

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 and the Ministerial Order on Job Structure for Academic Staff at Universities. Furthermore, your terms of employment and salary are in accordance with the collective agreement between the Danish Confederation of Professional Associations and the state (AC collective agreement) and protocol on certain terms of employment of academic staff at universities.

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.

Associate Professor, Charles Philippe Edouard Vesteghem