Adam Hulman
5 months ago
This position has expired. You can find similar positions from the section below or browse our positions listing pages.
Postdoc in Health Data Science and Machine Learning for Electronic Health Records and Diabetic Complications Aarhus University in Denmark
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full-time fixed-term postdoc position for 32 months. Salary is according to Danish academic agreements; the yearly base salary for a full-time postdoc is between DKK 484,214.84 and DKK 538,720.20 depending on experience after MSc degree, plus pension (17.1%) and possible additional supplements. Researchers recruited from abroad may be offered a special researcher tax scheme.
Deadline
Expired
Country
Denmark
University
Aarhus University
Suggested positions
Keywords
About this position
Aarhus University and Steno Diabetes Center Aarhus are advertising a Postdoc in health data science within the Machine Learning and Clinical Prediction (MLCP) Lab and the Pioneer Centre for SMARTbiomed.
The project focuses on machine learning for electronic health records to predict diabetic complications, with a strong emphasis on NLP, transformers, multimodal learning, and clinically useful prediction models. The work includes curation of multimodal datasets from clinical data and Danish registries, integration of biomarkers, prescription data, free text, and retina images, and evaluation using survival metrics, calibration, and clinical utility.
The position is based at Aarhus University in Denmark, with collaboration across Steno Diabetes Center Aarhus, SMARTbiomed, and partners at the University of Oxford and University of Copenhagen. The postdoc will report to Associate Professor Adam Hulman and work with researchers across the SMARTbiomed network.
Eligibility: a relevant PhD is required, ideally in machine learning, computer science, data science, bioinformatics, statistics, or a related field. Experience with NLP/LLMs, predictive modelling, open science, GitHub, HPC, and advanced Python is preferred. Applicants should be fluent in English; international applicants are expected to learn Danish.
Funding and terms: fixed-term full-time postdoc for 32 months. Salary follows Danish academic agreements, with a yearly base salary of DKK 484,214.84 to DKK 538,720.20 plus pension and possible supplements.
Deadline: 2026-06-10 at 23:59 CEST. Applications must be submitted via Aarhus University’s recruitment system.
Funding details
Full-time fixed-term postdoc position for 32 months. Salary is according to Danish academic agreements; the yearly base salary for a full-time postdoc is between DKK 484,214.84 and DKK 538,720.20 depending on experience after MSc degree, plus pension (17.1%) and possible additional supplements. Researchers recruited from abroad may be offered a special researcher tax scheme.
What's required
Applicants must hold a relevant PhD degree and academic qualifications at PhD level, preferably in machine learning, computer science, data science, bioinformatics, statistics, or a related field. Required or preferred experience includes natural language processing or large language models on text, time series, or multimodal data, predictive modelling, project management, open science tools such as GitHub, high-performance computing clusters, and advanced Python programming. Applicants should be fluent in oral and written English, have a genuine interest in AI and health applications, and international applicants are expected to learn Danish.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Professors
Associate Professor
Denmark
Research Interests
Pediatric Nutrition
Maternal And Child Health
Diabetology
Glucose Metabolism
Cardiovascular Risk
Professor
Denmark
Research Interests
Statistics
Deep Learning
Natural Language Processing
Machine Learning
Data Science
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.