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)

Lecturer/Senior Lecturer/Associate Professor in Artificial Intelligence

Lecturer/Senior Lecturer Data Science

Applied AI and Machine Learning Scientist - Senior Associate

Call for Associate Editor Applications: Computation, AI and Machine Learning

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.

Jobs Careers

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.

Jobs

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.

Education Jobs

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.