An exciting opportunity has arisen for a talented computer scientist to join our team as a researcher 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 understanding computers energy usage to improve carbon footprint monitoring and reduce the environmental impacts of digital activities.
You will lead projects modelling the energy usage of different computing equipment (personal computers, servers, High-Performance Computing infrastructure) for different scientific applications, including simulations, large-scale data analyses and AI. This will involve designing test protocols, building test benches and running simulations to improve on existing power usage models.
This research will be a key component of making computing more sustainable by providing novel insights into the energy usage of scientific software and hardware and improving the effectiveness of carbon monitoring tools. 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 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 or other related quantitative subject. They will have a strong understanding of computer science (hardware and software), study design and data analysis, and an 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.
