Research Assistant: “How Digital Twins Are Helping to Build Stronger, Smarter Infrastructure – with Data and People at the Core.”

Details


1106019


Liverpool John Moores University


05/01/2026


Other - See Job


6 hours per week from 1st January 2026 to 30th June 2026


Smart Casual

Pay


£17.58


£2.12

Description

Role
*Ringfenced to current undergraduate and postgraduate LJMU students studying engineering, computer science, environmental science, geography or a related discipline*

This is a role that allows  to gain hands‑on research experience at the intersection of technology, engineering, and climate resilience? We are looking for motivated students to take part in a collaborative project titled “How Digital Twins Are Helping to Build Stronger, Smarter Infrastructure – with Data and People at the Core.”

This project explores how Digital Twins (DTs) can strengthen critical transportation infrastructure against ageing and climate‑induced hazards such as flooding, landslides, and drought. As part of the team, you will: -Work on case studies in climate‑vulnerable regions of the UK, -Participate in co‑design workshops with academics, policymakers, and industry partners, -Contribute to knowledge exchange that informs evidence‑based policymaking.-Develop skills in digital technologies, resilience planning, and interdisciplinary collaboration.This is a unique opportunity to apply your academic learning to real‑world challenges, build networks with professionals across government and industry, and help shape future strategies for disaster prevention and infrastructure adaptation.

Duties and responsibilities

As a student researcher on this project, you will:

-Assist with case studies: Support the identification and documentation of climate‑vulnerable regions in the UK, focusing on transport infrastructure affected by hazards such as flooding, landslides, and drought.

-Contribute to co‑design workshops: Help prepare and participate in workshops with policymakers, industry partners, and community groups to define disaster‑responsive Digital Twin requirements.

-Engage in stakeholder collaboration: Work alongside government agencies, infrastructure operators, and consultancies to gather insights and share findings.

-Support data collection and analysis: Assist in gathering relevant datasets, monitoring outcomes, and contributing to risk‑based cost‑benefit analysis.

-Develop communication materials: Contribute to policy briefs, workshop summaries, and presentations that translate technical findings into accessible outputs for diverse audiences.

-Build research and technical skills: Gain experience in Digital Twin technologies, resilience planning, and interdisciplinary teamwork, while learning how research informs evidence‑based policymaking.

Skills and experience

Qualifications: 

Currently enrolled in an undergraduate or postgraduate programme in engineering, computer science, environmental science, geography, or a related discipline. Strong academic record with an interest in infrastructure resilience, climate adaptation, or digital technologies.

Skills: 

Good analytical and problem‑solving skills, with the ability to interpret data and contribute to case studies.

Effective communication skills, both written and verbal, for engaging with diverse stakeholders.

Ability to work collaboratively in workshops and group projects, as well as independently on assigned tasks.

Competence in basic digital tools (e.g., Excel, GIS, or data visualisation software); familiarity with Digital Twin concepts is desirable but not essential.

Experience: 

Prior involvement in research projects, coursework, or internships related to infrastructure, climate resilience, or digital innovation is advantageous.

Experience in teamwork, community engagement, or policy‑related activities will be valued.

Enthusiasm to learn and apply new methods in a multidisciplinary environment.

Location
LJMU

Additional information
*Ringfenced to current undergraduate and postgraduate LJMU students studying engineering, computer science, environmental science, geography or a related discipline*

Applications close at 11:59pm on Sunday 14th December 2025.

 
Interviews will be held on Thursday 18th December 2025. 

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