Faculty Position

Loughborough University Recruitment 2026 | Research Associate in Transport AI

Loughborough University Deadline: 08-11-2026
Loughborough University Recruitment 2026 | Research Associate in Transport AI

About the Organization

Loughborough University is one of the United Kingdom's leading research-intensive universities, recognized globally for excellence in engineering, science, technology, artificial intelligence, transport research, architecture, and innovation. The university collaborates extensively with industry, government, and international partners to develop practical solutions for real-world challenges.

The School of Architecture, Building and Civil Engineering conducts internationally recognised research in transport systems, infrastructure, sustainable mobility, construction, artificial intelligence, mathematical modelling, and digital technologies. This Research Associate position provides an opportunity to contribute to cutting-edge research on intelligent, resilient, and sustainable transport systems through advanced AI and computational modelling.


Post Overview

ParticularDetails
OrganizationLoughborough University
DepartmentSchool of Architecture, Building and Civil Engineering
PositionResearch Associate in Transport AI
Job ReferenceREQ260763
Employment TypeFull Time
Contract TypeFixed-Term
Contract DurationUntil 30 April 2028
SalaryFrom £35,608 per annum (Grade 6)
Job LocationLoughborough, England, United Kingdom
Application ModeOnline
Date Posted16 October 2026
Last Date to Apply8 November 2026

Who Can Apply?

Applications are invited from candidates who have:

  • PhD (completed or near completion) in a relevant discipline.
  • Background in Transport Engineering.
  • Computer Science qualification with AI experience.
  • Mathematics or Applied Mathematics background.
  • Physics or related quantitative discipline.
  • Strong mathematical modelling skills.
  • Excellent computational programming ability.
  • Knowledge of Artificial Intelligence and Machine Learning.
  • Experience in simulation and analytical modelling.
  • Strong communication and collaborative research skills.

Why Apply?

Selected candidates will receive:

  • Salary starting from £35,608 annually.
  • Opportunity to work on AI-driven transport research.
  • Access to multidisciplinary research teams.
  • Exposure to real-world intelligent mobility projects.
  • Flexible and hybrid working arrangements.
  • Excellent pension schemes.
  • 14 university closure days plus bank holidays.
  • Holiday purchase scheme.
  • Access to world-class sports facilities.
  • Career development within a globally recognised research university.
  • Electric vehicle and cycle-to-work schemes.
  • Family-friendly employment policies.
  • Professional wellbeing and healthcare benefits.

How to Apply?

Interested candidates should:

  1. Visit the official Loughborough University recruitment portal.
  2. Read the complete Job Description and Person Specification.
  3. Register/Login to the recruitment portal.
  4. Complete the online application form.
  5. Upload all required academic and supporting documents.
  6. Submit the application before 8 November 2026.

Selection Process

Selection may include:

  • Application Screening
  • Qualification Verification
  • Research Experience Assessment
  • Technical/Academic Interview
  • Final Selection

Eligibility Criteria

Candidates should preferably possess:

  • PhD in Transport Engineering, Computer Science, Mathematics, Physics or closely related discipline.
  • Strong quantitative and computational skills.
  • Experience in mathematical modelling.
  • Knowledge of Artificial Intelligence.
  • Experience in simulation methods.
  • Programming experience.
  • Research publication record (preferred).
  • Excellent analytical and communication skills.
  • Ability to work within multidisciplinary research teams.

Important Dates

EventDate
Notification Released16 October 2026
Last Date to Apply8 November 2026

Important URLs

Official Advertisement

https://vacancies.lboro.ac.uk/tlive_webrecruitment/wrd/run/ETREC107GF.open?VACANCY_ID=314412g4FO&WVID=5913100PrZ

Open Positions

Research Associate

Relevant Streams

Science
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