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. Your primary role will be to lead projects improving how computing environmental impacts are currently estimated and reported and investigate the impact of high-impact computational tools in AI and/or computational biology. The appointed researcher will have research interests aligned with those of our groups and the freedom to develop their own ideas for new research. Initial possibilities for research projects include: Studying the impact of scientific tools expected to become prominent in coming years through targeted case studies, in particular in the fields of artificial intelligence and/or computational biology. Exploring ways to better integrate life-cycle analyses in impact estimates and expanding environmental impacts beyond carbon footprint. Quantifying the different estimates' uncertainty and finding the best ways to report them in tools such as the Green Algorithms calculator. 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. If needed, 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 ( http://www.green-algorithms.org/ ), 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. 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 group has a strong commitment to making all tools available open access to the computing community. 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 be part of the Lannelongue group ( https://www.lannelongue-group.org/ ) and 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 in Cambridge. The post-holder will be expected to work with our wider teams and develop collaborations with local and international groups. Opportunities to develop supervision and teaching skills will be provided, such as those involved in the delivery of the departmental MPhil programme in Population Health Sciences. 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. The funds for these posts are available for 2 years, in the first instance from commencement in post. See information in advert on University of Cambridge Job Opportunities 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) Informal enquiries can be made to Dr Loïc Lannelongue ( ll582medschl.cam.ac.uk ) This is one of several research roles being recruited to expand the Green Algorithms Initiative. You can find a description of the other roles on https://www.lannelongue-group.org/join/ Click the 'Apply' button below to register an account with our recruitment system (if you have not already) and apply online. Closing date: 17 February 2025 The interview will be held the weeks commencing 24th February 2025 and 3rd March 2025 Please ensure that you upload a covering letter and CV in the Upload section of the online application. The covering letter should outline how you match the criteria for the post and why you are applying for this role. If you upload any additional documents which have not been requested, we will not be able to consider these as part of your application. Please include details of your referees, including e-mail address and phone number, one of which must be your most recent line manager. For information about how your personal data is used as an applicant, please see the section on Applicant Data ( https://www.hr.admin.cam.ac.uk/hr-staff/hr-data/applicant-data )on our HR web pages. Please quote reference RH43982 on your application and in any correspondence about this vacancy. 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. Further information Further Particulars Apply online