Publisher
source

Vincent Walsh

5 months ago

Reducing risks associated with night shifts and extended working hours University College London (UCL) in United Kingdom

Degree Level

PhD

Field of study

Neuroscience

Funding

This is a fully funded PhD opportunity, including tuition coverage and a stipend. The successful candidate will also be employed as a staff member of the Ministry of Defence Police, providing additional financial support and real-world research experience.

Deadline

Expired

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Country

United Kingdom

University

University College London

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Keywords

Neuroscience
Psychology
Cognitive Science
Law Enforcement
Health Science
Population Health
Fatigue Analysis
Shift Work
Applied Science
cognitive neuroscience
medical analysis

About this position

Join our Team! PhD Opportunity with the Ministry of Defence...

We are offering a fully funded PhD in partnership with University College London (UCL), the Institute of Sport, Exercise and Health (ISEH), the UCL Institute of Cognitive Neuroscience (ICN), and the Ministry of Defence Police (MDP).

This unique project focuses on reducing risks associated with night shifts and extended working hours. The successful candidate will play a central role in developing a Fatigue Risk Management System to support and optimise overtime decision-making within the MDP.

Alongside your PhD studies at UCL, you will join the MDP as a staff member, gaining direct insight into applied research in a real-world setting.

You will be supervised by Dr Flaminia Ronca (ISEH) and Professor Vincent Walsh (ICN)

- Role: Ministry of Defence Police – Health Analyst
- Employer: Ministry of Defence
- Application deadline: 11:55 pm, Sunday 7 September 2025

Further information: https://lnkd.in/e3ggzUBJ

Funding details

This is a fully funded PhD opportunity, including tuition coverage and a stipend. The successful candidate will also be employed as a staff member of the Ministry of Defence Police, providing additional financial support and real-world research experience.

What's required

Applicants should hold or expect to obtain a first or upper second class undergraduate degree in a relevant field such as neuroscience, psychology, medical science, or related disciplines. Experience or interest in fatigue risk, health analytics, or applied research is desirable. Strong communication and analytical skills are preferred. No specific mention of language tests, GPA, or other requirements.

How to apply

Visit the provided link for further information and application instructions. Prepare your application materials and submit before the deadline. Contact supervisors if you have specific questions about the project.

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