Publisher
source

Dr B Ward-Cherrier

Top university

1 year ago

Analyzing Peripheral Neural Signals with Open-Ephys University of Bristol in United Kingdom

Degree Level

PhD

Field of study

Neuroscience

Funding

Full funding available

Deadline

December 31, 2026
Country flag

Country

United Kingdom

University

University of Bristol

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Where to contact

Official Email

Keywords

Neuroscience
Computer Science
Data Science
Machine Learning
Cognitive Science
Biomedical Engineering
Medicine
Statistical Analysis
Neuroinformatics
Technical Engineering
Quasi-experimental Study

About this position

The project:

We invite applications for a PhD project exploring tactile afferent neural signals through cutting-edge data analysis and experimental techniques. Based at the University of Bristol under Dr. Benjamin Ward-Cherrier and in close collaboration with Prof. Rochelle Ackerley at Aix-Marseille University, this PhD project offers an exciting opportunity for interdisciplinary research in computational neuroscience and neural interfacing.

The focus of the PhD is analyzing spiking data from peripheral tactile afferents recorded via intraneural microneurography using Open-Ephys. Key objectives include:

  • Data Analysis: Unravel neural coding mechanisms from spiking data.
  • Plugin Development: Create custom Open-Ephys plugins in C++ to advance data acquisition and processing.
  • Microneurography and Microstimulation Experiments: Perform experiments on spike sorting and analyze average spike responses.

Candidate requirements:

Applicants must hold/achieve a minimum of a merit at master’s degree level (or international equivalent) in a science, mathematics or engineering discipline. Applicants without a master's qualification may be considered on an exceptional basis, provided they hold a first-class undergraduate degree. Please note, acceptance will also depend on evidence of readiness to pursue a research degree.

If English is not your first language, you need to meet this profile level: Profile E

Further information about English language requirements and profile levels .

We are seeking a highly motivated individual with:

  • A background in neuroscience, computer science, machine learning, biomedical engineering, or related fields.
  • Proficiency in programming (C++ preferred) and an interest in neural data analysis.
  • Strong problem-solving skills and a passion for collaborative, interdisciplinary research.

Why Apply?

This project provides access to world-class facilities, expert mentorship, and training in advanced experimental and computational techniques. You'll also gain valuable international research experience between the University of Bristol and Aix-Marseille University.

Contacts:

For questions about the research topic, please contact the project supervisor.

For questions about eligibility and the application process please contact Engineering Postgraduate Research Admissions

How to Apply

Prior to submitting an online application, you will need to contact the project supervisor (including your CV) to discuss.

Online applications are made at http://www.bris.ac.uk/pg-howtoapply . Please select Engineering Mathematics (PhD) on the Programme Choice page. You will be prompted to enter details of any studentship you would like to be considered for in the Funding and Research Details sections of the form.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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