Research Associate, Probabilistic Programming

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

In 2022, the Alan Turing Institute signalled its intention to establish a portfolio of foundational AI research, which would complement the strengths of the institute around applications of AI and AI policy. An initial portfolio of research across three pillars, foundation models, game theory, and probabilistic programming, was launched in early 2023.

We are looking for a Research Associate to support and enable the delivery of the “Programmable Inference” theme within the Probabilistic Programming Pillar. Matthew Juniper and Hong Ge (both at the University of Cambridge) will direct this theme.

ADJOINT-ACCELERATED PROGRAMMABLE INFERENCE FOR LARGE PDEs

The aim of this project is to extend Programmable Inference to large non-self-adjoint PDE problems, such as the Navier–Stokes equations.

ROLE PURPOSE

The research associate will be based at the University of Cambridge or the Turing Institute and will be responsible for delivering strands 1 to 3 (see job description) and supporting Matthew Juniper and Hong Ge with the overall delivery of the project. In addition, as an employee of the Alan Turing Institute (ATI), the research associates will have access to the ATI offices in London, where they can interact with the wider ATI community.

DUTIES AND AREAS OF RESPONSIBILITY

• Publish and disseminate high-quality research papers and publications detailing research outputs and project case-studies
• Communicate or present research outputs to diverse stakeholders, through conferences, events, meetings, and press opportunities as appropriate.
• Keep on top of the state of the art in the relevant literature, in particular programmable inference, Bayesian inference, adjoint methods, and uncertainty quantification.
• Construct adjoint equations in continuous space and then discretize these problems for numerical implementation.
• Develop Turing.jl, as described in strands 1 to 3 and update its documentation accordingly.
• Disseminate the research output to the research community, e.g., by giving talks at international conferences.
• Present, disseminate and explain our work at internal and external events hosted by the ATI.

Person Specification

• PhD in Mathematics, Computer Science, Physics, Engineering, or a closely related discipline.
• A solid background in one or more of the following: adjoint methods, Bayesian inference, uncertainty quantification, programmable inference.

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

Terms and Conditions

This full-time post is offered on a fixed term basis for 2 years and requires an immediate start. The annual salary is £44,180 - £49,966 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-benefits

Candidates who have not yet been officially awarded their PhD will be appointed as Research Assistant at a salary of £41,352 per annum.

Application procedure

Please click on 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.

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