Research Assistant in AI-Enabled Energy Analytics for NHS Estates (VITALS)

Loughborough University; Loughborough; Sur place; GBP 32 000 - 42 000; Plein temps

Avantages offerts par ce poste

Time off benefits

Hybrid working options

Health and wellbeing benefits

Résumé du poste

Loughborough University seeks a Research Assistant for AI-Enabled Energy Analytics for NHS Estates (VITALS). The role focuses on preparing energy data, applying time-series analysis, clustering and machine-learning methods to understand hospital energy use patterns, and communicating findings to NHS estates stakeholders.

Join a vibrant university environment with hybrid working options and a commitment to wellbeing and diversity. Fixed-term, full-time, around nine months.

Qualifications

• Degree in data science, computer science, engineering, applied mathematics, energy, or related field.
• Experience using Python or equivalent to analyse time-series data.
• Ability to document findings, communicate clearly and collaborate effectively.
• Willing to follow information-security and research-integrity requirements.

Responsabilités

• Prepare and quality-check half-hourly energy data.
• Assist with time-series analysis, clustering and machine-learning methods.
• Evaluate and document results for NHS estates stakeholders.
• Support data integration and reproducible coding.

Connaissances

Data analysis

Time-series analysis

Python

Research reporting

Formation

Data science/computer science/engineering degree or equivalent

Outils

Python

Description du poste

The University is dedicated to supporting an equitable, diverse, and inclusive environment - to create better futures, together. The diverse backgrounds, characteristics and opinions within our community are our great strength and are key to our pursuit of delivering educational excellence, enterprise, research and professional services. We welcome applications from people from diverse backgrounds and minoritized groups as they are currently under-represented within our community.

We recognise the value of a fulfilling and balanced work and personal life which promotes wellbeing. We seek to support colleagues in achieving this balance and have family-friendly policies, flexible working arrangements and many roles can be suitable for dynamic working arrangement. This includes considering applications to work on a part-time, flexible and job share basis wherever possible.

We are proud to be a Real Living Wage Employer—so much so that we go beyond the standard, providing additional supplementary payments at specific pay points to further support our employees' financial wellbeing. Further information about the Loughborough Real Living Wage Supplement can be found on our HR webpage .

Loughborough University is a UKVI Sponsor. Some individuals may require sponsorship to enable them to apply for a visa to provide them with the right to work in the UK. Please note certain roles are not eligible for sponsorship. For further information and eligibility please visit the UKVI website .

Job details

Job title Research Assistant in AI-Enabled Energy Analytics for NHS Estates (VITALS) Job reference REQ260822 Date posted 05/11/2026 Application closing date 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.

About the University

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 themselvesin the pursuit of better.

About the Department

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.

About You

• You have a degree in data science, computer science, engineering, applied mathematics, energy, the built environment or a related discipline, or equivalent relevant professional experience.
• You have experience using Python or an equivalent programming language to analyse numerical or time-series data and apply or evaluate established statistical or machine-learning methods.
• You can work carefully with data, document findings, communicate clearly and collaborate effectively. You are willing to follow information-security, confidentiality and research-integrity requirements.
• Experience with energy or operational datasets, clustering, uncertainty analysis, transfer learning or reproducible coding would be advantageous, but is not essential.

Why should you Apply?

With huge amount of variety in the role, there is an opportunity for you to develop and continually grow.

Informal enquiries should be directed to Dr Kambiz Rakhshanbabanari, via email to [e-mail] or by telephone to 01509 226806.

For more information refer to the Job Description and Person Specification.

Application Process

For further support with your application, please refer to our application guidance , which includes some top tips to help you when completing your application.

We are happy to consider any reasonable adjustments that candidates may need during the recruitment process. If there are additional adjustments, you’d like to request please contact Dr Kambiz Rakhshanbabanari. We also offer reasonable adjustments on the job.

Closing Date:

22nd November 2026

Our Benefits

• Time off - generous holiday allowance, including 14 university closure days and bank holidays, with the option to buy extra through our holiday purchase scheme.
• Where you work - access to a range of fantastic facilities with plenty of green space across our 523-acre East Midlands campus, plus an exciting community at our London campus on the Queen Elizabeth Olympic Park.
• Financial Wellbeing - competitive pay, two excellent pension schemes, and everyday savings opportunities.
• Support for you and those close to you - through our range of life event leave policies as well as access to an on-site nursery at our East Midlands campus, flexible and hybrid working options.
• Health and Wellbeing - discounted gym memberships and access to world-class sporting facilities, including physiotherapy, plus healthcare offers such as eyesight testing and wellbeing support.
• Travel and sustainability - access to our electric vehicle and cycle-to-work schemes, as well as a variety of travel offers to support sustainable commuting.

Discover more about the full range of rewards and benefits at Loughborough University.