Publisher
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Adam Hulman

5 months ago

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 flag

Country

Denmark

University

Aarhus University

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Keywords

Computer Science
Data Science
Machine Learning
Deep Learning
Biology
Predictive Modeling
Natural Language Processing
Medical Science
Salud Pública
Statistics
Electronic Health Record
Large Language Models

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.

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Professors

Associate Professor

University Name
Country flag

Denmark

Research Interests

Pediatric Nutrition

Maternal And Child Health

Diabetology

Glucose Metabolism

Cardiovascular Risk

Professor

University Name
Country flag

Denmark

Research Interests

Statistics

Deep Learning

Natural Language Processing

Machine Learning

Data Science