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

Nominate & Attend

Senior Research Associate in Just Energy Systems

University of Oxford
Oxford
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

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.

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.