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Jonas Spaak

4 months ago

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

Degree Level

not provided

Field of study

Computer Science

Funding

Six-year Assistant Professor position with a pathway to permanent Senior Lecturer employment. Salary and research costs are covered by a 9 MSEK funding package.

Deadline

Aug 31, 2026

Country flag

Country

Sweden

University

Karolinska Institutet

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Keywords

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

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

Six-year Assistant Professor position with a pathway to permanent Senior Lecturer employment. Salary and research costs are covered by a 9 MSEK funding package.

What's required

A PhD or equivalent degree in a relevant subject area is required. Applicants must have at least two peer-reviewed original scientific publications as first or last author in addition to the doctoral thesis. Priority is given to candidates who earned the PhD no more than seven years before the application deadline, though later PhDs may be considered with documented deductible time such as parental leave, long-term illness, union/trust positions, or mandatory service. Strong potential or demonstrated expertise in applied machine learning for clinical data, multimodal data integration, model development and validation, robustness, calibration, and clinical utility is expected. Experience with large-scale clinical data, cohorts, national registries, EHR-linked datasets, imaging, biosignals, or cardiovascular AI/ML is particularly meritorious.

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Professors

Clinical Professor, Head of Research, Dept Cardiology

University Name
Country flag

Sweden

Research Interests

Cardiology

Internal Medicine

Coronary Artery Disease

Cardiovascular Risk

Electronic Health Record