Naomi Wray

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.