Applications are invited for the position of Engineering Lead at the Institute of Computing for Climate Science (ICCS). In the face of the present climate crisis, there is pressing need for skilled software engineers to collaborate with climate scientists in delivering a new generation of high-quality, high-performance, and high-assurance models. The Engineering Lead will steer a highly-specialised Research Software Engineering (RSE) team that develop and improve complex scientific applications to enable the research agendas of the associated climate science teams and ICCS. The role holder will work in close synergy with researchers across multiple disciplines to develop research software to tackle problems across a range of subfields within climate science.
ICCS is one of the Schmidt Sciences Virtual Institutes of Scientific Software that are working to accelerate the pace of scientific discovery. The Engineering Lead will work directly with six groups funded as part of Schmidt Sciences’ Virtual Earth Systems Research Institute (VESRI) to directly address specific computational and research software needs of climate scientists across an international spread of University-based climate modelling groups and national labs. The team of RSEs that this post will manage also interacts with researchers based at ICCS. Thus, this leadership role provides a unique opportunity to be involved in projects directly connected to climate science but also broader research into supporting climate science through computer science, software engineering, and data science.
The Engineering Lead will collaborate with the Head of Research Software Engineering and the Computer Science lead. The post also includes funding to support travel to conferences and for training activities to support career development as well as an affiliation with Queens’ college.
Essential and desirable requirements for the role can be found in the further particulars for the role. When considering the criteria please ensure to reflect on your experience in the broadest sense including transferable skills.
We are keen to recruit an Engineering Lead with a specialism in a relevant area such as: AI/Machine Learning Climate Science/Numerical Modelling High-Performance Computing experience It is not a requirement to have experience in all of the areas.
The University is supportive of hybrid working and we aim to enable as many staff as possible to work in a hybrid way if they wish and where their role allows. This role allows the post holder to be office based, work in a hybrid way, or remotely with only minimal office attendance.
If you have any questions regarding the role or the application process, please contact iccs@maths.cam.ac.uk
Fixed-term: The funds for this post are available until 31 January 2028 in the first instance.
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 please visit: https://www.jobs.cam.ac.uk/job/45880/
Informal enquiries are welcomed and should be directed to iccs@maths.cam.ac.uk
Please quote reference VC41086 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.