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Jonas Spaak

1 month ago

Assistant Professor in Data-Driven Cardiovascular Medicine (PhD) Karolinska Institutet in Sweden

Degree Level

not provided

Field of study

Computer Science

Funding

Full funding available

Deadline

Aug 31, 2026

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Country

Sweden

University

Karolinska Institutet

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Keywords

Computer Science
Epidemiology
Electrical Engineering
Deep Learning
Biology
Artificial Intelligence
Medical Science
Cardiac Imaging
Salud Pública
Cohort Study
Coronary Artery Disease
Statistics
Large Language Models
Machine learning

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About this position

Assistant Professor in Data-Driven Cardiovascular Medicine at Karolinska Institutet and Danderyd University Hospital in Stockholm, Sweden.

This is a six-year Assistant Professor appointment with a pathway to permanent Senior Lecturer employment. The position is embedded in a highly collaborative clinical research environment at Sweden’s largest acute cardiology department, with access to rich Swedish data resources and strong links to clinical practice.

Research focus: data-driven cardiovascular medicine, applied machine learning, deep learning, large language model-based methods, multimodal modelling, clinical epidemiology, cardiovascular imaging, physiological signal analysis, and registry-based research.

Relevant data and methods: SCAPIS, SWEDEHEART, national registries, clinical cohorts, ECG, photoplethysmography, coronary CT angiography (CCTA), echocardiography, imaging biomarkers, radiomics, plaque characterisation, and clinical decision-support systems.

What the role offers: salary and research costs covered by a 9 MSEK funding package; opportunity to build an independent research programme; access to interdisciplinary collaboration across cardiology, AI, engineering, and data science; and the chance to develop clinically impactful research in prevention, diagnosis, risk stratification, follow-up, and treatment.

Eligibility highlights: PhD or equivalent in a relevant field; at least two peer-reviewed original scientific publications as first or last author in addition to the doctoral thesis; strong potential in AI/ML for clinical data; experience with large-scale clinical datasets is particularly valued. Recent PhD completion is preferred, with exceptions for documented deductible time.

Deadline: 31 August 2026.

How to apply: read the full ad, prepare the required application materials, and submit through the KI/Varbi portal before the deadline.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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