Head of LIBRTI Digital Science
Core
Lead the digital science strategy for LIBRTI, a £220M UKAEA flagship programme developing a world-first facility to demonstrate tritium breeding for fusion power.
Role type
Strategy-level Head of Digital Science (Fusion Energy)
Builds
Digital capabilities, data integration strategies, and a Multiphysics (Digital Physics) platform for fusion power stations.
Domain
Nuclear Fusion Energy / High-Performance Computing / Applied Science R&D
Deliverable
production ML models
Required skills
Fusion physics, High-Performance Computing, Machine Learning, Large Language Models, Uncertainty Quantification, Multiphysics modelling, R&D programme management, Senior team leadership, Stakeholder engagement, International representation
Preferred skills
Quantum Computing knowledge, Experience with UKAEA/STEP/STRIDE programmes, PhD in fusion-related field
Technologies
LLMs, AI, Digital Twin frameworks, Multiphysics simulation tools
Responsibilities
Design and deliver LIBRTI's Digital Strategy ensuring FAIR compliance; Design data capture systems integrating with Facility control hardware; Lead R&D programme for code and uncertainty quantification; Manage and coach a team of scientists; Align digital strategy with UKAEA intentions and Government AI aspirations; Represent UKAEA in international forums.
Seniority
Senior, hands-on IC with strategic leadership
