| Location: | Salford |
|---|---|
| Salary: | £47,389 to £56,536 |
| Hours: | Full Time |
| Contract Type: | Fixed-Term/Contract |
| Placed On: | 2nd April 2026 |
|---|---|
| Closes: | 8th April 2026 |
| Job Ref: | 671-451991816 |
Opportunity:
This is an exciting opportunity for a motivated researcher or developer to contribute to the design and delivery of IoT-enabled digital twin solutions for sustainable energy applications. The role will focus on creating demonstrator platforms that combine sensing, data integration, analytics, and visualisation to support better understanding and management of energy use, flexibility, and operational performance across a range of applications. These may include smart buildings, energy monitoring, demand management, EV charging, and wider community or business-focused energy use cases. The postholder will have the opportunity to help shape both real-world deployments and simulation-based demonstrators, showing how digital twins and IoT can support more intelligent, responsive, and sustainable systems. The role is well suited to someone who enjoys combining technical development with applied innovation, and who is interested in longer-term innovation and commercialisation.
The role:
The Research Associate will support the design and implementation of IoT-enabled digital twin platforms that monitor, visualise, and analyse energy and environmental data in real time. The role will involve deploying selected sensor-based monitoring solutions, establishing data pipelines and data management structures, and developing interactive dashboards that demonstrate system performance and operational insights.
In addition to real-world deployments, the postholder will design simulated dashboards and model-based demonstrations that illustrate potential future applications of digital energy systems where real data may not yet be available. These demonstrations will support research communication, stakeholder engagement, and exploration of innovative concepts such as community-oriented energy management and fairness-oriented market mechanisms.
The successful candidate will work closely with colleagues across the project to develop analytical methods, algorithms, and visualisation tools that connect IoT monitoring with broader energy system analysis. The role will also contribute to the preparation of academic publications, collaborative funding proposals, and engagement activities with external partners including industry, local authorities, and energy stakeholders.
We hope you will bring:
What’s in it for you?
Please note this opportunity may close early depending on applicant volume.
Type / Role:
Subject Area(s):
Location(s):