Senior Research Associate, Fundamental Research in AI for Physical Systems

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

Currently, Turing is undergoing a restructuring, moving towards a challenge-led model with three Grand Challenges (Environment & Sustainability, Health, Defence & National Security). This will be supported by a cross-cutting Fundamental Research in Data Science and Artificial Intelligence priority area. This new Turing 2.0 model focuses on world-class science and innovation and aims to generate high-quality research and translate it into real-world impact and deployment.

We are looking for Senior Research Associates to support and enable the delivery of this ambitious work, initially centred around developing AI for Physical Systems. Within the Fundamental Research area, we will provide foundational theory, methods and tools to advance the state-of-the art of the use of Artificial Intelligence to model, predict and control physical systems. The aim is to develop the next generation of fundamental ML and AI methods, tools and theory to enable modelling, prediction and control of physical systems. To achieve this, we are creating a multi-disciplinary, mission-driven team which will collaborate with national & international centres of excellence to achieve its goals. Initially, we will be focusing on three strands.

• Strand 1: Probabilistic and Generative Models for modelling & prediction of Physical Systems.
• Strand 2:Bridging the divide between data-driven & mechanistic models.
• Strand 3: Accelerating large-scale computational simulations through machine learning.

DUTIES AND AREAS OF RESPONSIBILITY

• Undertake high-quality research, contributing to the broader research aims of Fundamental Research.
• Contribute to research in collaboration with team members and Principal Investigators (PIs).
• Provide technical leadership and project management for research projects.
• Horizon scanning across relevant fields for new advancements and methodology
• Work with GC leadership and other stakeholders and colleagues to define, understand and prioritise the research direction and project goals.
• Lead on the preparation of proposals and applications to external bodies.
• Present, disseminate and explain our work at meetings/events and contribute to both the internal and external visibility of the Institute.
• Line manage direct reports if required.

Person Specification

• A solid background in Statistical Machine Learning and/or Scientific Machine Learning, with specific experience in two or more of the following: probabilistic and generative modelling, neural operators, surrogate modelling, uncertainty quantification for ML models, the application of ML modelling to physical systems.
• Experience in developing research software codes and libraries (in Python or Julia)

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

Terms and Conditions

This post is offered on a full time, fixed-term basis for 3 years. Part-time (0.8 FTE) applications can be considered. The annual salary is £55,184 - £63,971 plus excellent benefits, including flexible working and family friendly policies, https://www.turing.ac.uk/work-turing/why-work-turing/employee-only-benefits-guide

Application procedure

Please see our jobs portal 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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