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Senior Research Associate, Probabilistic Programming Project (LLM & ASP)

The Alan Turing Institute

Location: London
Salary: £53,576 to £55,125 (depending on experience) plus excellent benefits
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 4th December 2023
Closes: 7th January 2024
 

HOURS: 36

The Alan Turing Institute

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

BACKGROUND

This project aims to improve the reliability and consistency of large language models (LLMs) by integrating the LLMs with probabilistic answer set programming (P-ASP).

This will allow for enforcement of logical, semantic, and syntactic constraints on LLM outputs. This role will involve developing methods to map between natural language and P-ASP frameworks, designing experiments to analyse LLM reasoning capabilities, developing methods for implementing P-ASP solvers to reformulate prompts, and develop strategies for constrained inference in LLMs.

CANDIDATE PROFILE

The successful candidate will focus on evaluating and enhancing novel methods with Answer Set Programming based approaches to improve the mathematical and logical reasoning abilities of LLMs. This work will involve developing techniques to map between natural language and declarative programming frameworks to impose logical constraints on LLM reasoning. The candidate will design experiments and benchmarks to systematically test and improve performance on various mathematical, logical, and commonsense reasoning benchmarks.

DUTIES AND AREAS OF RESPONSIBILITY

  • Develop novel methods to map between natural language and probabilistic programming frameworks, building on the candidate's expertise with NLP and LLMs.
  • Lead research projects on scaffolding LLMs with declarative constraints
  • Design computational experiments and benchmarks to analyse commonsense reasoning capabilities of LLMs using P-ASP scaffolds.
  • Collaborate with the project investigators to define the research direction and implement the objectives described in the proposal.
  • Stay up to date on relevant literature at the intersection of foundation models, neuro-symbolic AI, and commonsense reasoning.

Person Specification

  • 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 Large Language Models such as GPT and open LLMs (such as Llama). Hands on experience with controlling inference in LLMs and transformer-based sequence to sequence models.
  • Experience in design, development and implementation of research software tools and libraries, such as Python, with specific knowledge of PyTorch and JAX).

Please see our portal for a full breakdown of the Job Description.

Terms and Conditions

This full-time post is offered on a 2-year fixed-term basis. The annual salary is £53,576 - £55,125 (depending on experience) plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

The Alan Turing Institute is based at the British Library, in the heart of London’s Knowledge Quarter. We expect staff to come to our office at least 4 days per month. Some roles may require more days in the office; the hiring manager will be able to confirm this during the interview.

Application procedure

Please see our jobs portal (via the ‘Apply’ button above) for full details on how to apply and the interview process.

Equality Diversity and Inclusion

We are committed to making sure our recruitment process is accessible and inclusive.

This includes making reasonable adjustments for candidates who have a disability or long-term condition. Please contact us at adjustments@turing.ac.uk to find out how we can assist you.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
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