Up to 30% off — ends 2 Aug
ONLY00h00m00s
Up to 30% off — ends 2 Aug
ONLY00h00m00s
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 availableDeadline
Aug 31, 2026
Country
Sweden
University
Karolinska Institutet

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.
Apply for this position
Keywords
Suggested positions
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
Official Email
Ask ApplyKite AI
Professors

How do I apply for this?
Sign in for free to reveal details, requirements, and source links.