Research Fellow (Training Fellow in Theoretical Neuroscience) – Latham Lab

Job title:

Research Fellow (Training Fellow in Theoretical Neuroscience) – Latham Lab

Company

University College London

Job description

About usThe Gatsby Unit at UCL 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 close links to the exceptional scientific communities at UCL in neuroscience, machine learning and AI. We are located in the heart of London a few blocks away from the UCL campus.Further details of our research are at https://www.ucl.ac.uk/gatsby/our-researchWe actively encourage collaboration in within and outside the Unit and support this by a generous annual travel allowance to support conference, workshop and research visits.This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period.About the roleWe are now inviting applications for a post-doctoral training Fellowship under the guidance of Professor Peter Latham. This role lies at the interface of deep learning theory, linguistics, and theoretical neuroscience. The position will focus on developing theoretical approaches to investigating how and when modularity arises in language related models. The research will borrow heavily from techniques in theoretical neuroscience, deep learning, machine learning and physics and applicants should have expertise in several of these areas.You will be responsible for the primary execution of the project (with opportunities for co-supervision of students), presentation of results at conferences and seminars, and publication in suitable media.This post is initially funded for 2 years with the possibility of a one-year extension at the end of the period.A job description and person specification can be accessed at the bottom of this page.About youYou 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.To apply, please click Apply Now and submit your CV which should include names of 3 referees; and a statement covering your research accomplishments. There is no requirement to upload any papers you have authored.What we offerThe Gatsby Unit offers competitive salaries and an award-winning work environment. Salary details are in the job description document.You will work in a vibrant, interactive and collaborative environment, with world-class PhD programmes, generous core funding andvtravel allowances. Our facilities include an on-site high-performance computer platform, an extensive seminar programme and interaction space, an on-site brasserie, and outdoor spaces. Our staff are entitled to UCL’s extensive range of staff benefits, including a generous annual leave entitlement, family-friendly policies, occupational pension schemes, relocation and housing assistance (where applicable) and professional development opportunities.Our commitment to Equality, Diversity and InclusionAs 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 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.Available documents

Expected salary

Location

North West London

Job date

Sun, 02 Feb 2025 05:47:39 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (globalvacancies.org) you saw this job posting.