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Research Fellow - School of Chemical Engineering Grade 7

Job in Birmingham, West Midlands, B1, England, UK
Listing for: University of Birmingham
Contract position
Listed on 2026-06-13
Job specializations:
  • Manufacturing / Production
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 36636 - 46049 GBP Yearly GBP 36636.00 46049.00 YEAR
Job Description & How to Apply Below
Position: Research Fellow - School of Chemical Engineering - 107527 - Grade 7

Job Description

Position Details

School of Chemical Engineering

Location:

University of Birmingham, Edgbaston, Birmingham UK

Full time starting salary is normally in the range £36,636 to £46,049 with potential progression once in post to £48,822

Grade: 7

Full Time, Fixed Term contract up to June 2028

Closing date: 21st June 2026

Background

The Healthcare Technologies Institute at the University of Birmingham is seeking to appoint a Research Fellow in Bioelectronic Engineering to support the development of an affordable user centred EEG headset for community-based diagnosis and management of suspected seizures. This role forms part of a large multidisciplinary research programme focused on the development of affordable community-based EEG technologies for neurological diagnosis and monitoring.

The project involves collaboration between the University of Birmingham, the University of Plymouth, the University of Lancashire, NHS partners, industry collaborators, and patient and public contributors. The programme combines expertise in engineering, neuroscience, mathematics, medicine, digital biomarkers, and user centred healthcare innovation to develop wearable EEG systems suitable for use in home and primary care settings.

The successful candidate will contribute to the design, prototyping, integration, and testing of a wearable EEG platform including custom electronics, dry electrodes, headset systems, and data acquisition hardware. The role will involve close collaboration with software developers, clinicians, researchers, patients, and external partners to develop a robust and scalable prototype suitable for future regulatory translation.

Role Summary

The post holder will undertake research and development activities focused on wearable bioelectronic systems for EEG acquisition in community settings. The role will contribute to the design and implementation of low‑cost medical grade EEG hardware systems, including PCB development, analogue front‑end design, wearable headset integration, dry electrode development, and device testing. The Research Fellow will work within an interdisciplinary team and contribute to iterative prototype development informed by stakeholder feedback, usability testing, and regulatory considerations.

The post holder will support the development of device documentation aligned with medical device quality management and regulatory requirements including ISO 13485, IEC 60601, and ISO 14971.

Main Duties

The responsibilities may include some but not all of the responsibilities outlined below.

  • Design and develop wearable EEG hardware systems for community-based neurological monitoring applications.
  • Develop PCB designs and electronic subsystems for multi‑channel EEG acquisition and wireless data transmission.
  • Support the design and optimisation of analogue front‑end circuitry for low noise biopotential acquisition.
  • Contribute to the development and testing of dry EEG electrodes and wearable headset systems.
  • Undertake rapid prototyping, laboratory testing, debugging, and iterative optimisation of hardware systems.
  • Contribute to integration of hardware with embedded firmware, mobile applications, and cloud‑based infrastructure.
  • Evaluate device performance against benchmark EEG systems and support validation studies.
  • Contribute to development of technical files, risk management documentation, verification reports, and design history documentation required for future UKCA regulatory approval.
  • Work closely with clinicians, patients, and public contributors to incorporate user feedback into the design process.
  • Analyse and interpret experimental data relating to EEG signal quality, hardware performance, and usability assessments.
  • Disseminate research findings through publications, technical reports, presentations, and conference contributions.
  • Contribute to research grant applications and future translational funding opportunities.
  • Support supervision of students and provide guidance to junior researchers where appropriate.
  • Contribute to departmental research activities, meetings, and collaborative initiatives.
  • Undertake management and administration associated with the research programme.
  • Promote equality,…
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