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Green Algorithms Software Engineer Lead (Fixed Term)

University of Cambridge - Department of Public Health and Primary Care, Cardiovascular Epidemiology Unit

Location: Cambridge
Salary: £41,421 to £55,295
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 8th November 2024
Closes: 25th November 2024
Job Ref: RH43986

An exciting opportunity has arisen for a Software Engineer Lead for the Green Algorithms Initiative in the Department of Public Health and Primary Care, one of Europe's leading academic departments of population health sciences.

As the Software Engineer Lead, you will be responsible for:

  • The development, dissemination and maintenance of the existing tools as well as the design of new emerging tools related to the group's activities. In particular, you will take lead on the development of the upcoming Green Algorithms Dashboard for HPC and on the continuing improvement of the online calculator, ensuring that it meets open source and sustainability development best practices.
  • The development work on the architecture (e.g. databases, services, computational tools), user-interface (website, API), and related software tooling.

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) as well as our team of expert computational scientists, HPC support teams in collaborating institutions, Research Software Engineers, and users to help deliver the Green Algorithms tools, a resource with real scientific and sustainability impacts and a variety of applications across scientific fields.

The preferred candidates will be flexible and independent to learn new languages and find the right tool for the right problem, in order to propose solutions to the overall project lead for eventual implementation. They will have experience in software engineering and software development, and an interest in the intersection between computing, science and environmental sustainability.

The funds for these posts are available for two years in the first instance from commencement in post.

This is a full-time position we also welcome part-time 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 (ll582@medschl.cam.ac.uk)

For information about how your personal data is used as an applicant, please see the section on Applicant Data on our HR web pages.

To apply online for this vacancy and to view further information about the role, please click 'Apply' above.

Please ensure that you upload a covering letter and a 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 email address and phone number, one of which must be your most recent line manager.

Interview date: weeks commencing 2nd December 2024 & 16th December 2024

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

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