Postdoc Researcher Aimachine Learn For Multimodal Cardiovasc Data Vascul Aid

Laplace Apply; Amsterdam; Hybrid; EUR 42,000 - 65,000; Full time

Job summary

Amsterdam UMC invites applications for a Postdoc Researcher to lead multimodal AI modelling for vascular disease data, spanning medical records, imaging, wearables and omics.

You will develop graph and foundation-model representations with uncertainty-aware predictions, coordinate data integration, and mentor junior researchers; contract length varies, 36 hours/week, salary EUR 3,724–EUR 5,867 gross per month.

Qualifications

• PhD in machine learning, computer science, bioinformatics, biomedical engineering, data science or related field.
• Strong Python and PyTorch skills; experience with GPU/HPC.
• Peer‑reviewed AI/medical-informatics research is desirable.

Responsibilities

• Lead multimodal AI modelling across medical records, CT/MRI, wearables, genomics and proteomics.
• Develop graph/foundation-model representations and uncertainty-aware predictions; perform external validation.
• Coordinate data integration and mentor junior researchers.
• Role offers 36 hours/week with a remuneration of EUR 3,724-5,867 gross per month; contract length may be 12 months or 2 years.

Skills

Graph neural networks

Foundation models

Python

PyTorch

HPC

Multimodal modelling

Education

PhD in ML or related field

Job description

Postdoc Researcher Aimachine Learn For Multimodal Cardiovasc Data Vascul Aid

Netherlands

6 November 2026 (date-only displayed on listing; exact cutoff time not verified in the current pass)

About This Opportunity

Amsterdam UMC offers Postdoc Researcher Aimachine Learn For Multimodal Cardiovasc Data Vascul Aid. The Amsterdam UMC VASCUL-AID Horizon Europe consortium studies abdominal aortic aneurysm and peripheral artery disease using longitudinal clinical and molecular observations f.

The Amsterdam UMC VASCUL-AID Horizon Europe consortium studies abdominal aortic aneurysm and peripheral artery disease using longitudinal clinical and molecular observations from 16 partners. The postdoc leads multimodal AI modelling across medical records, CT/MRI, wearables, genomics and proteomics, developing graph/foundation-model representations, uncertainty-aware prediction, external validation, biomarker discovery and reproducible clinical-model packages. They also coordinate data integration and mentor junior researchers. Practical and application conditions: Contract or doctoral duration: Initial duration ambiguous (12 months or 2 years); intended extension; Advertised weekly workload: 36 hours/week; Published remuneration: EUR 3,724-5,867 gross per month; Language condition: Fluent spoken and written English; Dutch desirable; Stated application date: 6 November 2026 (cutoff time not independently validated); Application materials mentioned: Motivation letter, Detailed CV, Two academic references, MSc and PhD diplomas.Who This Opportunity Is Best Suited For: Based on the documented project scope, it may particularly suit postdoctoral researchers with a PhD in machine learning, computer science, bioinformatics, biomedical engineering or similar, strong Python and PyTorch, GPU/HPC experience, peer-reviewed AI/medical-informatics research, and experience with clinical or omics data.Potential Challenges / Who May Find It Less Suitable: All application documents are mandatory, including motivation letter, detailed CV with visa requirements, two academic references and MSc/PhD diplomas. Screening is rolling and the vacancy may close before the stated deadline; the contract-length wording is unresolved between 12 months and two years.Overall Opportunity Assessment: The distinguishing feature is the specific combination of research questions and methods described above; applicants should weigh this focus against the documented prerequisites and working conditions.

Level Postdoc

Duration Initial duration ambiguous (12 months or 2 years); intended extension

Reference Code 365056

Field Aimachine Learn For Multimodal Cardiovasc Data Vascul Aid

Funding & Compensation

Amount EUR 3,724-5,867 / Per Month

Funding Type Salary

Funding Status Paid

Period Per Month

Requirements

Education

PhD in machine learning, computer science, bioinformatics, biomedical engineering, data science or related field.

Experience

Technical Skills Graph neural networks Foundation models Python PyTorch HPC Multimodal modelling