Research Associate*/Research Assistant in Sustainable Computational Science (Fixed Term)

University of Cambridge
Cambridge
1 year ago
Applications closed

Related Jobs

View all jobs

Research Assistant/Associate in Cardiac Computational Modelling via Machine Learning and Biomechanics Simulations

Research Associate – Artificial Intelligence in Cardiac MRI

Postdoctoral Research Assistant in optical neural networks (experiment)

Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term)

Postdoctoral Research Associate in Statistical Genetics and Machine Learning (Fixed Term)

Applied Research - Artificial Intelligence - London - Associate

Research Associate*: £36,924 - £45,163/Research Assistant: £32,296 - £34,866

An exciting opportunity has arisen for a talented researcher to join our team as part of the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences. The post will suit researchers interested in improving our understanding, and mitigating, the environmental impacts of scientific computing.

You will lead projects improving how computing environmental impacts are currently estimated and reported and investigate the impact of growing scientific fields through targeted case studies (e.g. population-scale whole-genome sequencing, artificial intelligence). In particular, you will explore ways to better integrate life-cycle analyses in these estimations, expand environmental impacts beyond carbon footprints, and quantify the estimates' uncertainty.

This research will be a key component of making computing more sustainable by drastically improving the reporting of computing impacts and shedding light on the carbon footprint of specific fields. You will be trained to obtain the required expertise in green computing and environmental sustainability, and your work is expected to lead to first author high-impact publications.

The Green Algorithms Initiative, led by Dr Loïc Lannelongue, is a world-leading project in the field of green computing focusing on quantifying and reducing the environmental impacts of computational science through open-source resources. The tools and frameworks developed and maintained by the group are used internationally and include the popular Green Algorithms online calculator, server-specific monitoring tools and the GREENER Principles for Environmentally Sustainable Computational Science. The Green Algorithms Initiative has received both nominations and awards for its contributions to environmentally sustainable research (e.g. HDR-UK Impact Award).

You will work in close conjunction with the senior scientists in the Green Algorithms Initiative, including Dr Loïc Lannelongue and Professor Michael Inouye. You will also work closely with other members of the Department and scientific collaborators based in other institutions. In particular, there will be links with the Department of Computer Science and Technology.

The preferred candidates will have an MSc or PhD (or equivalent experience) in computer science, applied informatics (e.g. bioinformatics), sustainability, or other related subject. They will have a strong interest in the intersection between computing, science and environmental sustainability. They should have an ability to communicate and present results to other scientists along with excellent verbal and written communications skills and strong organisational skills.

Appointment at Research Associate level is dependent on having a PhD (or equivalent experience), including those who have submitted but not yet received their PhD. Where a PhD has yet to be, awarded appointment will initially be made at research assistant and amended to research associate when the PhD is awarded (PhD needs to be awarded within 6 months of the start date). If an individual has not submitted a PhD or is not working towards one, they could be appointed as a Research Assistant if they have either a degree (and/or Master's) in a relevant area or equivalent experience.

The funds for these posts are available for 2 years, in the first instance.

This is a full-time position we also welcome applications of no less than 60% FTE.

Location - Victor Phillip Dahdaleh Heart & Lung Research Institute, Biomedical Campus, Papworth Road, Trumpington, Cambridge CB2 0BD (approx 2 miles south of city centre)

The University actively supports equality, diversity and inclusion and encourages applications from all sections of society.

The University has a responsibility to ensure that all employees are eligible to live and work in the UK.

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.