National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Senior Research Associate in Vehicle Emission Modelling

Loughborough University
Loughborough
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Research Associate in Machine Learning for Geodesy - 0479-25

Senior Associate AI Researcher - Natural Language Processing

Specialist in Generative AI and Large Language Models for Product Innovation- KTP Associate

Associate Actuarial Data Scientist

Research Assistant/Associate in Embedded Machine Learning Systems

Senior Data Scientist

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.

National AI Awards 2025

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.

How to Get a Better AI Job After a Lay-Off or Redundancy

Being made redundant or laid off can feel like the rug has been pulled from under you. Whether part of a wider company restructuring, budget cuts, or market shifts in tech, many skilled professionals in the AI industry have recently found themselves unexpectedly jobless. But while redundancy brings immediate financial and emotional stress, it can also be a powerful catalyst for career growth. In the fast-evolving field of artificial intelligence, where new roles and specialisms emerge constantly, bouncing back stronger is not only possible—it’s likely. In this guide, we’ll walk you through a step-by-step action plan for turning redundancy into your next big opportunity. From managing the shock to targeting better AI jobs, updating your CV, and approaching recruiters the smart way, we’ll help you move from setback to comeback.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.