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Liam Browne

2 months ago

Postdoctoral Research Fellow in Closed-Loop Neurotechnology for Chronic Pain at UCL University College London in United Kingdom

Degree Level

Postdoc

Field of study

Neuroscience

Funding

Postdoctoral Research Fellow position within EPIONE, an EPSRC/MRC-funded programme. Funding is provided through the programme; no stipend amount or tuition details are given.

Deadline

Jul 24, 2026

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Country

United Kingdom

University

University College London

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Keywords

Neuroscience
Computer Science
Biomedical Engineering
Electrical Engineering
Quantitative Analysis
Neuropsychology
Medical Science
Chronic Pain
Neuroengineering
Programming Language

About this position

University College London is recruiting a Postdoctoral Research Fellow to join Liam Browne’s lab.

The project focuses on closed-loop neurotechnology for chronic pain, combining long-term neural implants, neural recordings, and real-time adaptive control. The work sits at the intersection of systems neuroscience, neuroengineering, and translational neurotechnology, making it a strong fit for candidates with research interests in brain–device interfaces, neural signal acquisition, and adaptive control systems.

The post is part of EPIONE, an EPSRC/MRC-funded programme that brings together neuroscientists, engineers, clinicians, and industry partners. The announcement highlights that the ideal candidate should have strong in vivo experience, particularly with neural recording and chronic implants, as well as coding and quantitative analysis skills.

Eligibility highlights: postdoctoral level; experience in vivo; neural recording/chronic implant expertise; programming and data analysis ability.

Deadline: 24 July 2026.

How to apply: The post says the details and application instructions are in the first comment. Interested applicants should review the linked information and apply before the deadline.

Funding details

Postdoctoral Research Fellow position within EPIONE, an EPSRC/MRC-funded programme. Funding is provided through the programme; no stipend amount or tuition details are given.

What's required

Applicants should have strong in vivo experience, especially with neural recording and chronic implants, along with coding skills and quantitative analysis ability. The role suits candidates interested in systems neuroscience, neuroengineering, and translational neurotechnology.

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