First Stage Researcher (R1)

Erasmus University RotterdamGroot-RijnmondEURESavaldatud 15.09.2026
Nõutav:AIPrincipal

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Job offer

  • JOB - Netherlands - Erasmus University Rotterdam via AcademicTransfer - Posted on: 11 September 2026

11 Sep 2026

Erasmus University Rotterdam (EUR) Research Field

  • Engineering » Biomedical engineering
  • Mathematics » Algorithms
  • Mathematics » Applied mathematics
  • Medical sciences » Medicine

First Stage Researcher (R1) Type of Contract Hours Per Week Is the job funded through the EU Research Framework Programme?

Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

Offer Description

Erasmus University, TU Delft and Erasmus Medical Centre have established a partnership through interdisciplinary research and education. As part of the work in the alliance, we are looking for a PhD candidate to develop and evaluate a mathematical model and algorithm to better tailor (risk-based) follow-up after cancer treatment. The role is highly impactful for ensuring sustainable cancer care in the future, and we are looking for an exceptional candidate with strong quantitative, and modelling (e.g., POMDP) expertise combined with the interest to work with patients and clinicians on improving cancer care. In the role you will combine data analysis using clinical registries, evidence synthesis, participatory research with patients and clinicians, applied modelling, and development of AI decision-making algorithms to answer a question that health services across Europe are struggling with: how much surveillance is enough, for whom, and delivered by whom?

Background

Follow-up after primary cancer treatment is, in several tumour streams, more intensive than the evidence currently supports. Where the aim is recurrence detection, frequent and intensive surveillance shows limited benefit for clinical outcomes while imposing psychological burden and out-of-pocket costs on patients and consuming scarce professional capacity.

These pressures are intensifying. Survivor n...

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