Research Assistant in AI-Enabled Energy Analytics NHS Estates; VITALS

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Job title Research Assistant in AI-Enabled Energy Analytics for NHS Estates (VITALS) Job reference REQ
260822 Date posted 05/11/2026 Final date to receive applications 22/11/2026 Location Loughborough Package Blank Job description

School of Architecture, Building and Civil Engineering

Full-time (37 hours per week)

Fixed-term contract; for approximately nine months

Join us and be part of a vibrant community at Loughborough University.

Here’s more about the role and what we’re looking for:

We are seeking a Research Assistant for VITALS (Variational Inference of Trust-level Activity from Load Signatures in NHS Hospitals), a project supported by the Smart Energy Data Service (SENSE). We explore whether hospital energy-use patterns can provide useful indicators of activity and inform sustainable NHS estates management.

Under the Principal Investigator’s supervision, you will prepare and quality-check half-hourly energy data; assist with time-series analysis, clustering and established statistical and machine-learning methods; and evaluate and document results. You will also support suitable contextual data integration, reproducible coding, technical reporting and summaries for NHS estates stakeholders.

Universities are one of this country’s greatest assets. We’re educators, employers, innovators and pioneers. We shape culture and society.

At Loughborough, we strive for better, think differently, challenge convention and take action. We are passionate about finding solutions to the major problems faced by society and the planet, and we create opportunities for those with the drive, the ambition, and the determination to apply themselves in the pursuit of better.

The School of Architecture, Building and Civil Engineering brings together research and teaching in sustainable buildings, infrastructure and digital technologies. We connect engineering and data-driven methods with industry and public-sector partners, including healthcare estates, to address energy efficiency, resilience and net-zero challenges.

• You have a degree in data science, computer science, engineering, applied mathematics, energy, the built environment or a related discipline, or equivalent relevant…