Research Fellow – Human Electrophysiologist

Research Fellow – Human Electrophysiologist

Full-Time 41103 - 41103 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Investigate motoneuron dysfunction in ALS using cutting-edge neurophysiology techniques.
  • Company: UCL's Institute of Neurology, a leader in clinical and research excellence.
  • Benefits: Competitive salary, 41 days holiday, pension scheme, and gym access.
  • Other info: Flexible working options and commitment to diversity and inclusion.
  • Why this job: Make a real impact on ALS research and contribute to groundbreaking discoveries.
  • Qualifications: PhD in Neuroscience or related field, with experience in human neurophysiology.

The predicted salary is between 41103 - 41103 £ per year.

The Department of Neuromuscular Diseases is a centre of clinical and research excellence spanning spinal cord and neuromuscular disorders. Our researchers aim to understand disease mechanisms and translate these insights into new therapeutic approaches for neurological conditions. The Nascimento Research Group is a newly established laboratory within the department, focused on translational neuroscience and the study of spinal motor circuit neurophysiology in both animal models of disease, including ALS, and in human patients. The group uses a range of electrophysiological approaches in rodents alongside high‑density surface electromyography (HDsEMG) in humans. We work closely with the Brownstone and Beato laboratories at UCL and are embedded within wider clinical and translational programmes at the Institute of Neurology and the MND Centre, enabling strong links with clinician‑scientists and access to well‑characterised patient cohorts.

About the role: We are seeking a Research Fellow to investigate motoneuron and spinal microcircuit dysfunction in Amyotrophic Lateral Sclerosis (ALS) using human neurophysiology. The project will use high‑density surface electromyography (HDsEMG) to study motor unit behaviour and spinal circuit function in patients with ALS and healthy participants, with a focus on identifying early biomarkers and mechanistic signatures of disease progression. Working within a leading UK MND clinical and research centre, you will have access to a large and well‑characterised patient cohort. You will also contribute to the development of analytical approaches, including signal decomposition and computational modelling, to advance understanding of neuromuscular disease mechanisms. The position is available from 1 October 2026 and is funded by the Wellcome Trust until 30 September 2029 in the first instance.

About you: You will have a PhD in Neuroscience, Biomedical Engineering, Physiology or a closely related discipline (or be near completion), with experience in human neurophysiology and/or spinal cord electrophysiology, and a good understanding of single neuron and motor unit physiology. A proven ability to critically evaluate experimental results and analyse data using appropriate statistical methods, with experience writing up findings for publication is essential, as is evidence of a good publication record. You should have a solid quantitative background with proficiency in data analysis and statistics and experience with relevant analytical software such as Matlab, R or Python. This role meets the eligibility requirements for a skilled worker certificate of sponsorship or a global talent visa under UK Visas and Immigration legislation. Therefore, UCL welcomes applications from international applicants who require a visa.

What we offer: Starting salary offered at £41,103 per annum, inclusive of London Allowance. Appointment as Research Fellow is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be as Research Assistant (salary £39,148 – £41,833 per annum) with appointment as Research Fellow being backdated to the date of final submission of the PhD thesis. In addition, the following benefits are available:

  • 41 days holiday (27 days annual leave, 8 bank holidays and 6 closure days)
  • Additional 5 days’ annual leave purchase scheme
  • Defined benefit career average revalued earnings pension scheme (CARE)
  • Cycle to work scheme and season ticket loan
  • On‑site gym
  • Enhanced maternity, paternity and adoption pay
  • Employee assistance programme: Staff Support Service
  • Discounted medical insurance

We will consider applications to work on a part‑time, flexible and job‑share basis wherever possible.

Our commitment to Equality, Diversity and Inclusion: The Institute prides itself on operating in an all‑inclusive environment irrespective of personal, physical, or social characteristics. Teamwork is highly valued, individual strengths are recognised and celebrated, and we are committed to advancing the careers of everyone. 12% of Institute staff are actively working on Equality, Diversity and Inclusion (EDI) initiatives; visit our EDI website for more information about our initiatives and priorities. The Institute also holds an Athena SWAN Gold award, in recognition of our commitment and demonstrable impact in advancing gender equality. As London’s Global University, we know diversity fosters creativity and innovation, and we want our community to represent the diversity of the world’s talent. We are committed to equality of opportunity, to being fair and inclusive, and to being a place where we all belong. We therefore particularly encourage applications from candidates who are likely to be under‑represented in UCL’s workforce; these include people from Black, Asian and ethnic minority backgrounds, disabled people, LGBTQI+ and gender‑diverse people in all roles, and women in Grade 9 and 10 roles.

All appointments are subject to UCL Terms and Conditions of Service for Research and Professional Services Staff. Further details can be found at UCL Terms and Conditions.

Research Fellow – Human Electrophysiologist employer: UK Dementia Research Institute

As a leading research institution, UCL offers an exceptional work environment for the Research Fellow – Human Electrophysiologist role, fostering innovation and collaboration in the field of neuromuscular diseases. With access to a well-characterised patient cohort and cutting-edge resources, employees benefit from a supportive culture that prioritises professional development, inclusivity, and work-life balance, including generous holiday allowances and flexible working options. UCL's commitment to equality and diversity ensures a vibrant workplace where every team member's contributions are valued and celebrated.

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Contact Details:

UK Dementia Research Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Research Fellow – Human Electrophysiologist

Tip Number 1

Network like a pro! Reach out to people in the field of neuromuscular diseases and electrophysiology. Attend conferences, webinars, or local meetups to connect with researchers and clinicians. You never know who might have a lead on your dream job!

Tip Number 2

Show off your skills! Prepare a portfolio showcasing your research, publications, and any relevant projects. This is your chance to demonstrate your expertise in human neurophysiology and data analysis. Make it easy for potential employers to see what you bring to the table.

Tip Number 3

Practice your interview skills! Get comfortable discussing your research and how it relates to the role. Mock interviews with friends or mentors can help you articulate your thoughts clearly and confidently. Remember, it's all about making a great impression!

Tip Number 4

Apply through our website! We want to see your application, so make sure you submit it directly on our platform. It’s the best way to ensure your application gets the attention it deserves. Plus, you’ll be part of a community that values diversity and inclusion!

We think you need these skills to ace Research Fellow – Human Electrophysiologist

Human Neurophysiology
Spinal Cord Electrophysiology
High-Density Surface Electromyography (HDsEMG)
Data Analysis
Statistical Methods
Computational Modelling
Signal Decomposition

Some tips for your application 🫡

Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in human neurophysiology and spinal cord electrophysiology. We want to see how your background aligns with the specific needs of our research group!

Show Off Your Skills:Don’t forget to mention your proficiency in data analysis and any relevant software like Matlab, R, or Python. We’re keen on seeing how you can contribute to our analytical approaches, so let those skills shine!

Highlight Your Research Experience:If you've got a solid publication record, make it known! We love candidates who can critically evaluate experimental results and have experience writing up findings for publication. It shows us you’re ready to hit the ground running.

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it makes the whole process smoother for both you and us!

How to prepare for a job interview at UK Dementia Research Institute

Know Your Stuff

Make sure you brush up on your knowledge of human neurophysiology and spinal cord electrophysiology. Be ready to discuss your PhD research and how it relates to the role, especially in terms of ALS and motor unit behaviour.

Showcase Your Analytical Skills

Prepare to talk about your experience with data analysis and statistical methods. Bring examples of how you've used software like Matlab, R, or Python in your previous work, and be ready to discuss any publications you've contributed to.

Connect with the Team

Research the Nascimento Research Group and their collaborations with other labs. Show genuine interest in their work and be prepared to discuss how you can contribute to their ongoing projects and goals.

Ask Thoughtful Questions

Prepare some insightful questions about the role, the team dynamics, and the future direction of the research. This shows that you're not only interested in the position but also in how you can fit into their vision.