無料でロンドンへ！UCL Gatsby Bridging Programme参加者募集

2025-02-04 2025-02-04

きっかけ

概要

イギリスのメイン門UCL (University College London)で行われる数学関連のサマースクール。経済的理由のある対象者はロンドンへの往復航空券、滞在費、ビザ代金など無料です。

The Gatsby Bridging Programme is a mathematics summer school for penultimate- or final-year undergraduates and Master’s students (incl. recent graduates) who aspire to pursue a postgraduate research degree in Theoretical Neuroscience and/or Machine Learning but whose predoctoral degree(s) does not have a strong mathematical focus. During the programme, you will develop the mathematical intuitions and learn the mathematics skills necessary to enter these fields.

The programme is intensive and requires a full-time commitment.

We aim to be inclusive and to increase the diversity of students entering both fields. Thus, we particularly encourage applications from students in underrepresented groups in Science, Technology, Engineering, and Mathematics (STEM), whose socioeconomic background and/or other circumstances may have made it more difficult for them to reach their full academic potential or to consider postgraduate study and research in STEM.

Key Information

During the seven-week programme (Monday-Saturday), you will attend interactive lectures/tutorials and actively participate in problem-solving sessions in linear algebra, calculus, probability, ordinary differential equations, and Fourier analysis and convolution.

Participants will be expected to (1) attend in person all sessions of the programme and (2) commit to providing feedback at the end of the programme.

Please note that this is not a summer school in theoretical neuroscience nor machine learning. The goal of the programme is to provide participants with a solid mathematics foundation to be able to enter these fields. The target audience is predoctoral students whose degree(s) does not have a strong mathematical focus but who wishes to pursue a postgraduate research degree in theoretical neuroscience and/or machine learning.

締切

2025/2/7

ベネフィット

対象者はロンドンへの往復航空券、滞在費、ビザ代金など無料

There are no programme fees, but students are expected to cover their own travel, accommodation and subsistence expenses.

To broaden participation, we are offering a limited number of bursaries to students who may find it difficult to participate for financial reasons. The bursary will cover some or all of the following: half-board student accommodation (shared facilities, breakfast and dinner included), travel expenses to and from London at the start and end of the programme, and application fee for a 6-month UK Standard Visitor visa. Each request will be assessed carefully to ensure that the bursary goes to the student who needs it most.

対象・条件

Applicants must meet all eligibility criteria in A and will be assessed competitively.

We strongly encourage applications from those who meet one or more of the widening participation criteria in B. Where all other factors are equal, priority will be given to students from groups underrepresented in STEM fields, using positive action under the Equality Act 2010 where appropriate.

A

Have a keen interest in postgraduate research in theoretical neuroscience and/or machine learning.
Be currently taking or have recently completed an undergraduate or Master’s degree which does not offer the type of mathematical training in our programme (see Programme Syllabus). If you are an undergraduate student, you must be in the penultimate or final year of your degree.
Have a background in a relevant field such as biological sciences (neuroscience or cognitive psychology in particular) or computer science.
Have A-level (or equivalent) mathematics.
Have proven and potential academic excellence.
Have a good command of the English language.
Consent to abide by the terms and conditions of the offer, should you be made one.

B

We will be using positive action under the Equality Act 2010 to tackle the underrepresentation of certain groups in STEM fields (see a non-exhaustive list below). We will ask you to describe your circumstances and provide relevant supporting documentation in your application. Any information you share with us will be held securely and confidentially by the Admission Team.

Underrepresented groups in STEM fields, include but are not limited to,

Women
Certain ethnic minorities
Care background or family estrangement. For example, you entered your degree study from a care background (or as a Foyer resident); you are estranged from immediate family or designated care-givers.
Those granted refugee status in their country of residence.
Caring responsibilities. You have/had caring responsibilities for an ill or disabled family member who could not manage without this help; you are/were a single parent, lone foster parent or lone guardian of a young person who is aged under 18 and/or is still in full-time education.
Those in the first generation of their family to go to university.
Low-income background. For example, if you were in receipt of free school meals at secondary school and/or have received full state support for maintenance for your undergraduate study.