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Job Offer: Research Software Engineer:Job description:Job location: Cambridge Fixed-term: The funds for this post are available for 4 years in the first instance. Computational modelling is at the core of climate science, where complex models of earth systems are a routine part of the scientific process, but this comes with challenges. Most models embed significant amounts of inherent and accidental complexity which impedes the programming task itself, as well as hampering verification and maintenance efforts, reproducibility, and high-performance executions to compute predictions. 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. 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 located at ICCS. Thus, this provide 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. RSEs 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. RSEs will be encouraged to develop their own ideas and will also be encouraged 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. **Essential requirements for the function include:** - Degree-level education or equivalent practice. - practice in using AI/ML software tools to develop workflows (e.g. Torch/TensorFlow). - Good expertise of machine learning approaches and an capability to apply these accordingly. - practice in software engineering (SE), including a strong track record of employing SE best practises. - practice of working in a scientific context is desirable but not essential. We are keen to recruit an RSE with AI/Machine Learning practice to provide balance to the team's overall practice. When considering the criteria please ensure to reflect on your practice in the broadest sense including transferable expertise. The University is supportive of hybrid working and we aim to enable as many staff as possible work in a hybrid way if they wish and where there function allows. this function allows the post holder to be office located, work in a hybrid way or remotely with only minimal office attendance. 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. Informal enquiries are welcomed and should be directed to Paul Richmond, par62@cam.ac.uk The University actively supports equality, diversity and inclusion and encourages applications from all sections of society, and has a responsibility to ensure that all employees are eligible to live and work in the UK. Skills:
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