PhD student Human-AI collaboration in medicine

14 Mar 2024
Job Information

Organisation/Company

University Medical Center Utrecht (UMC Utrecht)

Research Field

Medical sciences

Researcher Profile

First Stage Researcher (R1)

Country

Netherlands

Application Deadline

3 Apr 2024 - 21:59 (UTC)

Type of Contract

Temporary

Job Status

Not Applicable

Hours Per Week

36.0

Is the job funded through the EU Research Framework Programme?

Not funded by an EU programme

Is the Job related to staff position within a Research Infrastructure?

No

Offer Description

The integration of medical artificial intelligence (AI) in clinical care is paired with pressing ethical questions about its roles and responsibilities. Collaboration between physicians and medical AI systems is frequently promoted in the academic literature as the best way forward to achieve the expected benefits of medical AI. Yet, without a clear understanding of human-AI collaboration, patient care faces sincere risks such as blurred responsibilities, unresolved disagreements or inefficient care. Collaboration can take different forms: AI can serve as an equal (partnership), take

over tasks that it can do more accurately (substitute), or assist the physician (assistant)? These types of collaboration differ in morally significant ways: Partnerships are successful under different conditions and impose different ethical norms than substitution or assistance.

As human-AI collaboration will not be completely analogous to human-human collaboration, a refined understanding of collaboration in this context, as well as the conditions and norms for realizing the expected benefits of medical AI must be established. As a PhD Candidate, you will conduct ethical-empirical research and normative research into human-AI collaboration in medicine. You will write a PhD thesis (based on scientific publications) and follow courses at the Graduate School of Life Sciences and/or Philosophy; you will also teach Medical Ethics and Medical Humanities courses at the Faculty of Medicine

Requirements
Specific Requirements

You have a master degree in (bio)ethics, philosophy, health sciences, medical sociology, medical anthropology or science and technology studies. You are interested in the ethics of medical innovation and excited about working at the crossroads of ethics and medicine. You are both able to conduct academic ethics research, and to describe and reflect on the way digital technologies affect clinical practice. Experience with qualitative research methods such as interviewing, conducting focus groups, and (ethnographic) observation is highly valued. You have fluent oral and writing skills in English and Dutch.

Please include in your application: a motivation letter in which you explain your interest in the position, Curriculum Vitae and when applicable, an overview of past and current research and teaching activities. The deadline for submission is April 10th[KJ1] 2024. Interviews will take place on April 15th 2024. Starting date: June 1st, 2024. The appointment will be for a total of 48 months. The initial appointment will be for a period of 12 months, which will be extended upon a positive evaluation.

Additional Information
Benefits

The maximum salary for this position (32 - 36 hours) is € 3.677,00 gross per month based on full-time employment.

In addition, we offer an annual benefit of 8.3%, holiday allowance, travel expenses and career opportunities. The terms of employment are in accordance with the Cao University Medical Centers (UMC).

Additional comments

Contact our colleague:
K.R. Jongsma
06 31 11 78 46
[email protected]

Website for additional job details

https://www.academictransfer.com/339023/

Work Location(s)

Number of offers available

1

Company/Institute

UMC Utrecht

Country

Netherlands

City

Utrecht

Postal Code

3584CX

Street

Heidelberglaan 100

Geofield

Where to apply

Website

https://www.academictransfer.com/en/339023/phd-student-human-ai-collaboration-i…

Contact

City

Utrecht

Website

http://www.umcutrecht.nl/

Street

Heidelberglaan 100

Postal Code

3584 CX

STATUS: EXPIRED