Senior Research Associate in Just Energy Systems

University of Oxford
Oxford
11 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

Machine Learning Engineer (Manager)

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

We are seeking

a full-time Senior Research Associate in Just Energy Systems to join the Energy and Power research group at the Department of Engineering Science (Osney). The post is funded by the FCDO and is fixed-term to 31 March 2026 with the possibility of extension dependent on funding. The successful candidate will join the Climate Compatible Growth (CCG) programme and the Strategic Hydrogen Integration for Effective Low-Carbon Development (SHIELD) in Ukraine project. CCG is a £95m UK ODA-funded research programme running until March 2030, helping developing countries take a path of low carbon development whilst simultaneously unlocking profitable investment in green infrastructure, opening up new markets and supporting delivery of the Sustainable Development Goals (SDGs). SHIELD is a £1.7m FCDO-funded research initiative that focuses on assessing the potential of green hydrogen and ammonia within Ukraine’s energy system. You will be responsible for working on complex engineering problems, such as infrastructure development, system planning, and design specification in low- and middle-income country (LMIC) contexts, working in fields of geospatial analysis, development economics, electrical and transport system planning, system modelling, multi-criteria decision analysis, data science, and machine learning. You will perform stakeholder engagement and on-the-ground data collection in LMIC contexts and manage relationships with high-level government officials. You should possess a relevant Ph.D/D.Phil with post-qualification research experience, possess specialist knowledge of geospatial energy modelling and optimization in Python and GIS, plus experience of stakeholder engagement challenging geopolitical contexts. There is the possibility to underfill at Grade 7 (£36,024- £44,263p.a.) if the candidate holds a relevant PhD/DPhil or is near completion (please note that ‘near completion’ means that you must have submitted your thesis) and has the relevant experience. For more information about working at the Department, see Only online applications received before midday on19 March 2025can be considered.

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.

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.

How to Write an AI Job Ad That Attracts the Right People

Artificial intelligence is now embedded across almost every sector of the UK economy. From fintech and healthcare to retail, defence and climate tech, organisations are competing for AI talent at an unprecedented pace. Yet despite the volume of AI job adverts online, many employers struggle to attract the right candidates. Roles are flooded with unsuitable applications, while highly capable AI professionals scroll past adverts that feel vague, inflated or disconnected from reality. In most cases, the issue isn’t a shortage of AI talent — it’s the quality of the job advert. Writing an effective AI job ad requires more care than traditional tech hiring. AI professionals are analytical, sceptical of hype and highly selective about where they apply. A poorly written advert doesn’t just fail to convert — it actively damages your credibility. This guide explains how to write an AI job ad that attracts the right people, filters out mismatches and positions your organisation as a serious employer in the AI space.