Research Software Engineer (ICCS) (Fixed Term)

Fixed-term: The funds for this post are available until 31 January 2028 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 RSE posts at the new Institute of Computing for Climate Science (ICCS) at the University of Cambridge.

Who you will be working with

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 RSEs will also interact closely with researchers based at ICCS. Thus, 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.

What you will do

You will be part of a team, with training and guidance provided by the Engineering Lead, the Head of Research Software Engineering and the Computer Science lead. You will be encouraged to develop your own ideas and you will be encouraged to take part in training, including the opportunity to help run training sessions for PhDs and other scientists. The post 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.

What you will have

• 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 candidates 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.

To ensure balance within the team, we are particularly interested in recruiting candidates who have experience with Climate Science/Numerical modelling experience, as well as experience in large GCMs (e.g., CESM, GFDL models, IPSL), although 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 is supportive of hybrid working, where some work is undertaken on University premises and some in a remote working environment.

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 department.

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

All queries should be directed to recruitment@uis.cam.ac.uk in the first instance.

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.

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