Join us as a Researcher
We welcome enquiries about joining us as a researcher.
At Edinburgh Neuroprosthetics Laboratory, we
- promote diversity, equality and inclusion in academia;
- offer a welcoming and nurturing research environment;
- design neuroprosthetic solutions with users, rather than for them;
- ensure our research is reproducible and our data are curated, accessible, and appropriately archived.
If you are interested in joining us, please consider the following paths:
We support excellent early career researchers in applying for their own funding to join us. Some possible sources of funding are listed below:
- Various Research Council Fellowships, e.g.
- Royal Academy of Engineering | Research Fellowship
- Royal Society | University Research Fellowship
- Royal Society | Newton International Fellowship
- Leverhulme Trust | Research Fellowship
- Wellcome Trust | Sir Henry Wellcome Postdoctoral Fellowship
- NIHR | Fellowship
- Royal Commission for the Exhibition of 1851 | Research Fellowship
- Schmidt Science Fellows
We always welcome applications from motivated researchers with a strong background in the broad area of neuroprosthetics. If you are interested in co-designing a project with us for external funding, we strongly encourage you to get in touch with us. Please include a cover letter, a CV and publication list and contact details for three referees.
Email Edinburgh Neuroprosthetics
Sometimes we have funding available and we advertise these positions on jobs.ac.uk.
Reading for a PhD is a challenging and time-consuming job, yet it is wonderful to be able to push forward the boundaries of science - a tiny bit.
The Illustrated Guide to a PhD
To join us as a PhD student, the first thing you should do is read our research pages to ensure that your research background and skills are fit to what we do.
Edinburgh Neuroprosthetics: Research
We are always looking for highly motivated students who are interested in addressing basic scientific and engineering questions with shape the future of neuroprosthetics. Our current PhD students are typically very experienced in some of the following skills
- Analog Circuit Design and Integrated Sensor Technology
- Implantable and Wearable Electronics.
- Mathematics, Statistics and Machine learning
- Sensorimotor Neuroscience
- Rehabilitation Science and Engineering
- Programming
If you think you have what it takes, please get in touch with us.