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PhD student NeoBAIT project

University Medical Center GroningenGroningen, Groningen, Netherlands

13 dagen geleden

Functieomschrijving

End-of-life decisions for severely ill newborns are among the most challenging and morally laden decisions in neonatal care. When survival chances are minimal or the outlook is bleak, parents and healthcare professionals must decide whether to continue burdensome ICU treatment or commence palliative care. These decisions require extensive discussions, but the factors influencing these decisions are often unclear, complicating shared decision-making.

This PhD project aims to investigate how Behavioural Artificial Intelligence Technology (BAIT) can assist in these critical decisions. The goal is to develop a digital decision support tool that facilitates transparent communication between parents and healthcare providers while addressing the legal and ethical aspects of its implementation. This project is funded by the Palliantie Program of ZonMW (The Netherlands Organization for Health Research and Development).

Your PhD Project

In this interdisciplinary project, you will :

Identify key factors involved in end-of-life decision-making through a Delphi procedure with neonatologists and other stakeholders.
Design and conduct a choice experiment to analyze how healthcare professionals make end-of-life decisions in fictitious cases.
Collaborate with technical partners to develop a BAIT-based digital decision support tool that offers insights into how similar cases are typically approached.
Evaluate the ethical and legal implications of using such a tool in neonatal care.
Work closely with neonatologists, patient associations, and industry partners to ensure that the tool aligns with clinical and parental needs.

Your Tasks

Collaborate with a multidisciplinary project team, including neonatologists, patient organizations, ethicists, and AI developers.

Lead the Delphi study.

Conduct systematic literature review(s), empirical studies, and data analysis.

Publish your findings in international peer-reviewed journals and present them at conferences.

Contribute to the development of the decision support tool and ensure its ethical and practical alignment with clinical use.

We are looking for an enthusiastic candidate with :

A (research) Master’s degree in Medicine, Biomedical Sciences, Artificial Intelligence, Health Sciences, Ethics, or a related discipline.

Strong analytical, organizational, and social skills, with an interest in empirical research and (learning) data analysis (e.g., R, Python) and AI.

Affinity for ethical and legal aspects of healthcare innovation.

Good academic writing, conversation, and presentation skills in Dutch and English.

The ability to work in a multidisciplinary team and engage with various stakeholders.

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