Job Description
Job Title:  Research Associate in Inclusive Neurotechnology Design
Posting Start Date:  18/03/2026
Job Id:  2370
School/Department:  Electrical & Electronic Engineering
Work Arrangement:  Full Time (Hybrid)
Contract Type:  Fixed-term
Salary per annum (£):  38,784.00 - £39,906
Closing Date:  01/04/2026

The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

 

Overview

We are seeking a talented and motivated Research Associate to join a pioneering project addressing inequalities and adoption disparities in neurotechnology among marginalised groups. This project, funded by a leading research initiative, focuses on identifying design biases in neurotechnologies, understanding barriers to participation in neurotechnology research, and investigating disparities in utilisation. The ultimate goal is to create practical solutions for equitable, inclusive neurotechnology.

 

This role provides an excellent opportunity to contribute to impactful research in collaboration with diverse communities, researchers, clinicians, and policy experts. You will work alongside a multidisciplinary team and use both qualitative, quantitative and computational modelling methods to produce actionable recommendations.

 

Main duties and responsibilities

  • Conduct in-depth literature reviews and data analyses to identify biases in neurotechnology designs.

  • Lead qualitative interviews and focus groups with community members from diverse backgrounds

  • Apply computational modelling techniques to quantify performance variations in neurotechnology devices across different genders, ethnicities, and anatomical variations.

  • Analyse health record data to investigate racial and gender disparities in neurotechnology usage

  • Co-develop practical recommendations for inclusive neurotechnology designs

  • Collaborate with community groups, clinicians, and stakeholders to refine solutions

  • Disseminate findings through academic publications, reports, and accessible educational materials

  • Present research outcomes at conferences and stakeholder meetings

  • Maintain high standards of ethics and data security in all project activities

  • Carry out other duties, commensurate with the grade and remit of the post

 

Person Specification 

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

 

Criteria

Essential or desirable

Stage(s) assessed at

Hold or be close to completing a PhD in neural engineering, neuroscience, biomedical engineering, computational modelling or a related field (or have equivalent experience)

Essential

Application

Strong background in neurotechnology design or human-centred methodologies

Essential

Application/Interview

Expertise in statistical analysis, including handling complex databases

Essential

Application/Interview

Proficiency in computational modelling software and tools being used for simulation of non-invasive brain simulations

Essential

Application

Experience of publishing in peer-reviewed journals

Essential

Application/Interview

Excellent written and verbal communication skills, including experience writing publications/reports and presenting your findings to a range of audiences

Essential

Application/Interview

Ability to work effectively within a team environment including individuals both internal and external to the University

Essential

Application/Interview

Ability to plan own workload and prioritise conflicting deadlines

Essential

Application/Interview

Ability to make decisions and apply creative approaches to solving complex technical problems

Essential

Application/Interview

Demonstrable understanding of inclusivity and EDI principles in research and their practical application

Essential

Application/Interview

Experience working with marginalised communities and patients with neurological disabilities

Desirable

Application/Interview

Experience with computational modelling to quantify performance variations in technologies across diverse populations

Desirable

Application/Interview

 

Further Information

Grade

7

Salary

£38,784 - £39,906 

Work arrangement

Full-time

Duration

1 April 2026 - 31 March 2027

Line manager

Professor Mahnaz Arvaneh

Our website

https://www.sheffield.ac.uk/eee

For informal enquiries about this job contact Professor Mahnaz Arvaneh,  on m.arvaneh@sheffield.ac.uk

 

Next steps in the recruitment process

It is anticipated that the selection process will take place in April 2026. This will consist of an interview and a presentation. We plan to let candidates know if they have progressed to the selection stage on in April 2026. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact eee-operations@sheffield.ac.uk.

 

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What we offer

  • A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.

  • Flexible working opportunities, including hybrid working for some roles.

  • Generous pension scheme.

  • A wide range of discounts and rewards on shopping, eating out and travel.

  • A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).

  • Recognition Awards to reward staff who go above and beyond in their role.

  • A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.

  • A range of generous family-friendly policies

    • paid time off for parenting and caring emergencies

    • support for those going through the menopause

    • paid time off and support for fertility treatment

    • and more


More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

 

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

 

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.