Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

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

University of Cambridge
Cambridge
10 months ago
Applications closed

Related Jobs

View all jobs

Machine Learning Computer Vision Engineer

Lead R Engineer / Data Scientist - Integrated Pest Management (IPM)

Lead R Data Scientist - Sustainability

Assistant Coastal Data Scientist (Undergraduate)

Senior Computer Vision Engineer

Senior Systems Engineer

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.

Why the UK Could Be the World’s Next AI Jobs Hub

Artificial Intelligence (AI) has rapidly moved from research labs into boardrooms, classrooms, hospitals, and homes. It is already reshaping economies and transforming industries at a scale comparable to the industrial revolution or the rise of the internet. Around the world, countries are competing fiercely to lead in AI innovation and reap its economic, social, and strategic benefits. The United Kingdom is uniquely positioned in this race. With a rich heritage in computing, world-class universities, forward-thinking government policy, and a growing ecosystem of startups and enterprises, the UK has many of the elements needed to become the world’s next AI hub. Yet competition is intense, particularly from the United States and China. Success will depend on how effectively the UK can scale its strengths, close its gaps, and seize opportunities in the years ahead. This article explores why the UK could be the world’s next global hub for artificial intelligence, what challenges it must overcome, and what this means for businesses, researchers, and job seekers.

The Best Free Tools & Platforms to Practise AI Skills in 2025/26

Artificial Intelligence (AI) is one of the fastest-growing career fields in the UK and worldwide. Whether you are a student exploring AI for the first time, a graduate looking to build your portfolio, or an experienced professional upskilling for career growth, having access to free tools and platforms to practise AI skills can make a huge difference. In this comprehensive guide, we’ll explore the best free resources available in 2025, covering AI coding platforms, datasets, cloud tools, no-code AI platforms, online communities, and learning hubs. These tools allow you to practise everything from machine learning models and natural language processing (NLP) to computer vision, reinforcement learning, and large language model (LLM) fine-tuning—without needing a huge budget. By the end of this article, you’ll have a clear roadmap of where to start practising your AI skills for free, how to build real-world projects, and which platforms can help you land your next AI job.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.