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Gatsby Computational Neuroscience Unit

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Research Fellow (Palmigiano group)

Research Fellow (Training Fellow in Theoretical Neuroscience)

We invite applications for a post-doctoral Training Fellowship under the guidance of Dr Agostina Palmigiano, focused on developing theoretical approaches to investigate the mechanisms underlying sensory, motor or cognitive computations. You will be responsible for the execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable venues. This post is initially funded for two years with the possibility of a one-year extension at the end of the period.ÌýThe appointment will be on the UCL Grade 7 salary scale.

You should have a strong quantitative background in theoretical neuroscience, machine learning, statistics, computer science, physics or engineering; a record of publication in highly respected journals and conferences and must hold a PhD in a relevant field by the agreed start date of the position.

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To apply visit UCL Jobs (B02-06155) and click Apply Now to submit your CV and in the Attachments section (Research Paper 1) a statement covering research accomplishments and the names of two referees. Academic enquiries about the role should be directed to Agostina Palmigiano (a.palmigiano 'at' ucl.ac.uk).ÌýFor any other enquiries contact Mike Sainsbury (m.sainsbury 'at' ucl.ac.uk).

The application deadline is 30 September 2024.

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 underrepresented in UCL’s workforce in this type of role. Interest from women and those from an ethnic minority background is particularly welcome, as they are under-represented within UCL at these levels.

Project Research Interns

We welcome applications from final-year undergraduates and Master’s students (or recent graduates) for paid research internships (that are not part of the degree course requirement).

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.

During the internship (up to 3 months), you will work on a research project full-time under the supervision of experienced researchers. You will develop and apply your research skills, gain hands-on research experience, and connect with researchers at the unit and beyond. At the end of the thesis project / internship, you will write a report and present your work to the whole unit.

We particularly encourage applications from groups that are under-represented in Science, Technology, Engineering, and Mathematics fields and/or who have experienced some form of educational disadvantage.

Applications are reviewed twice per year in January and July. If you plan to do a winter/spring internship (for example, Jan-Mar, Apr-Jun), please submit your application by the July deadline (of the previous year); if you plan to do a summer/autumn internship (for example, Jun-Aug, Oct-Dec), please submit your application by the January deadline of the same year. If you are unsure which round you should apply to, please contact I-Chun Lin at i.lin 'at' ucl.ac.uk.

Next review round: January 2025. Please apply by the January deadline (TBC) if you want to intern during summer/autumn 2025.

Please review the information under tab 'Eligibility' and tab 'Applications' carefully before submitting your application. (The page is best viewed on a computer.)

  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 thesis project/internship.

We are setting up a new application portal; detailed information on how to apply will be updated in due course.

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We may also be able to accommodate non-UCL students who wish to carry out their MSc (or similar) academic research projects with us. Applications to do so should be submitted following the same procedure for project research internships as stated above, giving details of your institution and academic programme as well as any constraints or regulations relevant to the research, and specifying that you are applying to carry out a MSc (or similar) research project in your email to I-Chun. Please note that such academic research visits are separate from our paid internships, and we expect any financial support or remuneration to ordinarily be arranged through your home institution. MSc and other project students °ÄÃÅÀúÊ·¿ª½±¼Ç¼ may make enquiries in line with their usual course schedules.

Updated 2024-08-12

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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 °ÄÃÅÀúÊ·¿ª½±¼Ç¼ in neuroscience and machine learning and AI, with particularly close collaborations with world-class researchers in the SWC and the UCL . We are located in the heart of London, a few blocks away from the UCL campus.

We have an exciting programme of scientificÌýand social events, including an external seminar series and topical workshops, journal clubs, research talks andÌýregular tea hour socials (jointly with SWC on Fridays). Our staff are entitled toÌýUCL's full range of benefitsÌýandÌýdevelopment opportunities.

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 underrepresented in UCL’s workforce. These include people from Black, Asian and ethnic minority backgrounds; disabled people; LGBTQI+ people; and for our Grade 9 and 10 roles, women. Gatsby Unit & SWC are delighted to have received an Athena Swan Bronze Award in 2021. We stand by our commitment to positive action to improve equality and accessibility in the workplace. We will provide reasonable adjustments to enable people to work and flourish with us. We are committed to fostering a positive cultural climate where all staff and students can thrive and committed to Wellbeing@UCL.

Athena Swan Bronze

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