Home Postdoc Abroad Postdoctoral Researcher in AI-Based Risk Modelling, Karolinska Institutet, Sweden

Postdoctoral Researcher in AI-Based Risk Modelling, Karolinska Institutet, Sweden

Study in Sweden

Postdoctoral Researcher in AI-Based Risk Modelling: Karolinska Institutet is seeking a highly motivated Postdoctoral Researcher to contribute to fundamental medical research focusing on AI-supported early detection and personalized surveillance of breast cancer. This position offers an opportunity to work in a prestigious research environment with a focus on innovative methodologies in medical imaging and risk modelling.

Postdoctoral Researcher in AI-Based Risk Modelling for Early Detection of Breast Cancer

Designation

Postdoctoral Researcher (Scholarship)

Table of Key Information

InformationDetails
Research AreaAI and Medical Imaging for Breast Cancer
LocationKarolinska Institutet, Stockholm, Sweden
Type of ScholarshipTax-exempt postdoctoral stipend
DurationInitial 12 months, with possibility of extension
Last Date for ApplyJanuary 21, 2026
Reference NumberSTÖD 2-5420/2025

Eligibility/Qualification

Required Qualifications

  • PhD degree (or equivalent) in a relevant discipline (e.g., medical imaging, machine learning, biostatistics, medical physics, epidemiology).
  • Strong background in quantitative data analysis and statistical reasoning.
  • Proficiency in Python.
  • Excellent written and spoken English.
  • Documented ability to conduct and publish independent research.

Meritorious Qualifications

  • Experience with medical imaging data (mammography and/or breast MRI).
  • Experience in risk prediction, calibration, survival analysis, or decision modelling.
  • Prior experience with AI or machine learning methods applied to medical data, particularly in radiology.
  • Experience supervising or mentoring junior researchers.
  • Strong interest in clinical translation and early cancer detection.

Job Description

The postdoctoral researcher will play a junior scientific leadership role, focusing on the following duties:

  • Development, evaluation, and validation of AI-based imaging risk models.
  • Quantitative risk modelling, calibration, and statistical analysis.
  • Interpretation of results in a clinical early-detection context.
  • Operational supervision of a PhD student, with formal supervisors.
  • Scientific coordination and mentoring of a research engineer.
  • Preparation of manuscripts for publication in high-impact scientific journals.
  • Active participation in national and international research collaborations.

How to Apply

Candidates must submit the following documents (in English or Swedish) via the Varbi recruitment system:

  • A complete curriculum vitae, including the date of the thesis defense, title of the thesis, previous academic positions, academic title, current position, academic distinctions, and committee work.
  • A comprehensive list of publications.
  • A summary of current work (maximum of one page).

Last Date to Apply

January 21, 2026

Join us at Karolinska Institutet to contribute to groundbreaking research that aims for better health outcomes!

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