Fixed-term: The funds for this post are available for 3 years in the first instance.
In the face of the present climate crisis, there is pressing need for skilled software engineers to aid climate scientists in delivering a new generation of high-quality, high-performance, and high-assurance models. This is the broad aim of these Research Software Engineer posts at the new Institute of Computing for Climate Science (ICCS) at the University of Cambridge.
ICCS hosts a team of Research Software Engineers who are working directly with four international Schmidt Futures' Virtual Earth Systems Research Institutes (VESRI) to directly address specific computation and research software needs of climate scientists.
The team of Research Software Engineers will also interact closely with researchers based at ICCS. This provides a unique opportunity to be involved in research projects directly connected to climate science but also broader research into supporting climate science through computer science, software engineering, and data science.
Research Software Engineers are part of a team, with training and guidance provided by the Engineering Lead, the Head of Research Software Engineering and the Computer Science lead. Research Software Engineers are encouraged to develop their own ideas and to take part in training, including the opportunity to help run training sessions for PhDs and other scientists. The post also includes funding to support travel to conferences and for training activities to support career development, as well as dining rights at Queens' college three times per week.
Essential requirements for the role include:
Degree-level education or equivalent experience.
Experience in software engineering (SE), including a strong track record of employing SE best practises and use of development and productivity tools (e.g., Git/GitHub, JIRA).
Good knowledge of a programming language such as Fortran, C++, C, Python.
Testing and associated technologies for enabling automated testing.
Experience of working in a scientific context is desirable but not essential.
We are keen to recruit an applicant with a specialism in either AI/Machine Learning, Climate Science/Numerical Modelling or High-Performance Computing but it is not a requirement to have experience in all three of these areas.
There are two vacancies available. To ensure a balance within the team, one of the two advertised roles will be designated towards a candidate with Climate Science/Numerical modelling experience. We are particularly interested in candidates with experiences in large GCMs (e.g., CESM, GFDL models, IPSL) though experience in smaller models is also appreciated.
When considering the criteria please ensure to reflect on your experience in the broadest sense including transferable skills.
The University has a flexible working policy and a versatile hybrid/remote working policy. We support staff working in a range of scenarios to ensure productivity in their respective posts.
We welcome applications from individuals who wish to be considered for part-time working or other flexible working arrangements.
We particularly welcome applications from women and /or candidates from a BME background for this vacancy as they are currently under-represented at this level in our institution.
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Informal enquiries are welcomed and should be directed to Paul Richmond, firstname.lastname@example.org
Please quote reference VC38934 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.