Senior Research Associate, Foundation Models

1 week ago

London, Greater London, United Kingdom Alan Turing Institute Full time

Named in honour of Alan Turing, the Institute is a place for inspiring, exciting work and we need passionate, sharp, and innovative people who want to use their skills to contribute to our mission to make great leaps in data science and AI research to change the world for the better.

Please find more information about us here

Position:

FOUNDATION MODELS
Foundation models are large ML models trained on large, broad data sets.

Foundation models such as GPT-3 have been shown to have remarkable capabilities for generating realistic natural language, and, to some extent, capabilities for problem solving and common-sense reasoning.

Developing a Turing Foundation Model is beyond our present capacity.

Instead we therefore propose work aimed at developing Turing expertise around the problem of precisely understanding the capabilities of such models.

The main issue we aim to address is that of *benchmarking* such models:

although such models appear to be very capable in some respects, they fail on apparently simple tasks, in unpredictable ways.

In short, we don't have a clear understanding of the capabilities and shortcomings of such systems - which raises concerns for their use.


ROLE PURPOSE


We are looking for a
Senior Research Associate to support and enable the delivery of the Foundation Model theme, under the direction of Anthony Cohn, and in collaboration with Michael Wooldridge and Nigel Shadbolt.

***
DUTIES AND AREAS OF RESPONSIBILITY

  • Develop and implement new methods for representing, transforming, and analysing foundation models.
  • Develop new project concepts and proposals and assume overall leadership for the delivery of research projects from inception to completion.
  • Define the research direction in collaboration with Project Investigators
  • Run computational experiments to analyse common sense reasons and understand the efficacy of new and existing analysis methods.
  • Take the lead on writing up findings as they emerge, producing reports, and developing publications in peer reviewed journals, in collaboration with the research team.
  • Keep on top of the state of the art in the relevant literatures, in particular at the intersection of Foundation Models and AI in the area of common sense reasoning.
  • Present, disseminate and explain our work at internal and external events hosted by the ATI.

Requirements:

  • A PhD or equivalent qualification/experience in Mathematics, Computer Science or a closely related discipline.
  • A solid background in two or more of the following: use of Foundational Models such as GPT3; AIbased methods for common sense reasoning methods such as naive physics, spatial and temporal reasoning, and causality; evaluation of AI systems.
  • Track record of the ability to initiate, develop and deliver high quality research aligned with the research strategy and any industrial stakeholders and to publish in peer reviewed journals and conferences.
  • Handson experience with Machine Learning methods
  • Track record of outstanding research and delivering impact appropriate to career stage
  • Ability to communicate complex, specialist or conceptual information clearly and persuasively to diverse audiences

Please see the job description for a full breakdown of the duties, responsibilities and person specification

Other information:

TERMS AND CONDITIONS


The post can be based either at The Alan Turing Institute site in London, or at the University of Leeds.

In either case you will need to travel to the other site when required (travel expenses will be paid as appropriate).


  • The Alan Turing Institute is based at the British Library, in the heart of London's Knowledge Quarter. _
  • We are currently assessing the results of our hybrid working trial, which ran for six months. We will soon publish a longterm workplace policy: as a guide, we anticipate this will be between 24 days per month. Some roles may require the jobholder to spend a greater number of days in the office, but the hiring manager will be able to confirm this during the interview._

APPLICATION PROCEDURE



CLOSING DATE FOR APPLICATIONS:
Sunday 5 March 2023 at 23:59
- _**EQUALITY, DIVERSITY AND INCLUSION

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