Senior Research Associate in Vehicle Emission Modelling

Loughborough University
Loughborough
10 months ago
Applications closed

Related Jobs

View all jobs

Research Associate / Senior Research Associate in Computer Vision and Machine Learning (Medical Imaging)

Lecturer/Senior Lecturer/Associate Professor in Artificial Intelligence

Data Science Lecturer & Research Leader

Lecturer/Senior Lecturer Data Science

Lecturer/Senior Lecturer Data Science

Applied AI and Machine Learning Scientist - Senior Associate

Job Title:Senior Research Associate in Vehicle Emission ModellingJob Reference:REQ250149Date Posted:Mon, 3 Mar 2025 00:00:00 GMTApplication Closing Date:Tue, 25 Mar 2025 00:00:00 GMTLocation:LoughboroughPackage:Specialist and Supporting Academic grade 7 from £46735 to £55755 per annum. Subject to annual pay award.

A Senior Research Associate is required to provide management, leadership, technical expertise, and delivery for research activities relating to the development of an air quality analysis and prediction tool. Emphasis will be placed on the understanding and enhancement of air quality analysis modelling for vehicles using advanced data analytic and <SPAN > </SPAN> optimisation methods.  The post holder will be expected to co-ordinate the delivery of high-quality project and research outputs. They will provide supervisory support to a team of researchers as well as relationship management of the industrial partner to ensure milestones are met and research activities align with project objectives.

 

Project Description

Air quality is a growing global concern, driving legislative efforts such as the Green Deal. The European Union is leading the push for zero air pollution by 2050 through the Ambient Air Quality Directive. Among the major contributors to urban air pollution, road transport emissions stand out as a key challenge.  This research aims to advance our understanding of the environmental impact of diverse road transport technologies, including various powertrain systems. Adopting a systems engineering approach, it will harness the power of advanced data analytics and predictive modelling, integrating digital twins and artificial intelligence to develop an innovative air quality modelling tool. This tool will enable direct comparative analysis of different transport technologies, providing a data-driven foundation for strategic decision-making. This holistic approach, incorporating life cycle analysis and considerations of societal and economic factors, will help identify the most effective pathways for passenger transportation fleets to comply with WHO Air Quality Standards, both locally and globally, while advancing toward a future of zero pollution. 

 

The successful applicant will be based in the Department of Aeronautical and Automotive Engineering, joining an active research community conducting impactful research, with a focus on addressing global challenges, with key areas including sustainable aviation, net-zero transportation, autonomous and intelligent systems, systems reliability and health management, mechanics and dynamics, and mathematical modelling and simulation.

 

<b class=\"customHTML\">This role is part-time - 28 hours a week.

<b class=\"customHTML\">Closing Date for applications - 25 March 2025

For more information refer to the<a class=\"fui-Link ___1q1shib f2hkw1w f3rmtva f1ewtqcl fyind8e f1k6fduh f1w7gpdv fk6fouc fjoy568 figsok6 f1s184ao f1mk8lai fnbmjn9 f1o700av f13mvf36 f1cmlufx f9n3di6 f1ids18y f1tx3yz7 f1deo86v f1eh06m1 f1iescvh fhgqx19 f1olyrje f1p93eir f1nev41a f1h8hb77 f1lqvz6u f10aw75t fsle3fq f17ae5zn\" >Job Description and Person Specification.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.

AI Jobs for Career Switchers in Their 30s, 40s & 50s (UK Reality Check)

Changing career into artificial intelligence in your 30s, 40s or 50s is no longer unusual in the UK. It is happening quietly every day across fintech, healthcare, retail, manufacturing, government & professional services. But it is also surrounded by hype, fear & misinformation. This article is a realistic, UK-specific guide for career switchers who want the truth about AI jobs: what roles genuinely exist, what skills employers actually hire for, how long retraining really takes & whether age is a barrier (spoiler: not in the way people think). If you are considering a move into AI but want facts rather than Silicon Valley fantasy, this is for you.