Gatsby Computational Neuroscience Unit



Join us and be part of an inclusive, vibrant community of research and innovation.

Current vacancies

Project Research Intern

We welcome applications for paid* research internships from final-year undergraduates and Master’s students.

Our research focuses on the mathematical principles of adaptive intelligent behaviour. We study (un)supervised and reinforcement learning; inference, coding and neural dynamics; Bayesian and kernel methods, and deep learning; with applications to the analysis of perceptual processing and cognition, neural data, signal and image processing, machine vision, network data and nonparametric hypothesis testing.

This internship will typically last for three months, during which you will work on a research project under the supervision of experienced researchers. You will develop and apply your research skills, gain hands-on research experience, and connect with other researchers at the unit and beyond. At the end of the internship, you will write a project report and present your work to the whole unit.

With this internship programme, we hope to enhance diversity and inclusiveness within the fields of theoretical neuroscience and machine learning. We particularly encourage applications from groups that are currently under-represented in Science, Technology, Engineering, and Mathematics fields and/or who have experienced some form of educational disadvantage.

Applications are reviewed four times per year in January, April, July, and October.

  1. Be in your final undergraduate year or a Master’s student.
  2. Be enrolled in a relevant subject such as computer science, physics, engineering, statistics, mathematics, neuroscience, or cognitive psychology.
  3. Have a strong mathematical and analytical background and a keen interest in theoretical neuroscience, machine learning or both.
  4. Have proven/potential academic excellence.
  5. Have a good command of the English language.
  6. Be available for the entire duration of the internship.

Please send I-Chun Lin i.lin@ucl.ac.uk the following documents in one PDF file:

  1. CV (2-page limit), including (a) the schools you have attended, (b) your A-level (or equivalent) results, (c) your undergraduate (and Master's, if applicable) results so far, (d) prizes or awards for your academic work at school/university, including scholarships, (e) any extracurricular activity, experience or skill you feel is relevant to the application, and (f) the names and contact information of two academic referees (e.g., a tutor, supervisor or professor) who can comment on your academic ability, the quality of your work and your potential for further study and research.
  2. Transcript(s), containing the grades you have received so far for your undergraduate degree (and Master's degree if applicable).
  3. A brief description of your research interests and academic background, explaining how it fits with the Gatsby Unit (up to 300 words). Please indicate your preference for 'theoretical neuroscience', 'machine learning' or both, and if known the faculty member you would like to work with.
  4. (Optional) A statement on any financial, regional, societal or personal factors that may have constrained your academic potential (up to 200 words).

In your email, please also specify:

  1. When you would like to intern
  2. Whether this internship would formally be part of your degree course (i.e., as part of your course requirement) *


* Please note that a stipend will not be provided to interns who are working on course projects (i.e., if this internship is part of the degree course requirement). Nevertheless, some travel expenses could potentially be covered if needed.



Why join us?

The Gatsby Unit has been at the forefront of theoretical neuroscience and machine learning since its establishment in 1998.  We maintain a singular and cohesive research culture, emphasising interaction and collaboration both within the unit and beyond. The unit’s research benefits from tight links to the exceptional scientific communities at UCL in neuroscience and machine learning and AI, with particularly close collaborations with world-class researchers in the SWC and the UCL ELLIS Unit. We are located in the heart of London, sharing a purpose-designed building with the SWC a few blocks away from the UCL campus.

We have an exciting programme of scientific and social events, including an external seminar series and topical workshops, journal clubs, research talks and regular tea hour socials (jointly with SWC on Fridays).

We support flexible working and are committed to make the unit as inclusive and diverse as possible. Our staff are entitled to UCL's full range of benefits and development opportunities.

Athena Swan Bronze