Research Software Engineer (Fixed Term)

Area: Digital Research Service

Location: University Park

Salary: £34,866 to £46,485 per annum, depending on skills and experience. Salary progression beyond this scale is subject to performance.

We are looking for a Research Software Engineer (RSE) with a background in scientific computing to work with Dr Stephen Green (Mathematical Sciences) on an exciting UKRI Future Leaders Fellowship focussing on AI-driven inference for gravitational waves.  

The central aims of the project are to: 

• Develop AI tools to analyse gravitational-wave data 

• Leverage AI technologies to unlock new discoveries in astrophysics and cosmology 

• Use gravitational waves to test understanding of gravity and fundamental physics

The role is especially suitable for RSEs with a background in astrophysics, gravitational waves, machine-learning, and Bayesian statistics, and who are confident and comfortable working at the intersection of scientific research and digital / data capability.  

The successful candidate will be able to evidence: 

A postgraduate degree in a relevant branch of physics, astronomy, computer science, mathematics, or a closely related discipline OR  

-Expert knowledge of gravitation or machine learning for science. This should include one or more of the following:  

          ~ Gravitational-wave modelling (or equivalent data analyses) 

          ~ Black hole physics 

          ~ Mathematical or numerical relativity 

          ~ Statistical inference 

          ~ Deep learning 

 -Software development best practices, including version control, and related delivery methodologies 

The post is offered on a full-time (36.25 hours) fixed-term basis for a period of 24 months. Job share arrangements may be considered. Requests for secondment from internal candidates may be considered on the basis that prior agreement has been sought from both your current line manager and the manager of your substantive post, if you are already undertaking a secondment role. 

This is a hybrid role and not 100% remote. There is an expectation the successful candidate lives within a commutable distance and is able to attend the office at least two days a week or as required. 

We believe that talented and inclusive teams deliver the highest quality research and are seeking applications from high-quality candidates who enhance the diversity of our existing team. To that end, we welcome and support applicants requiring flexible working arrangements. 

Informal enquiries may be addressed to Dr Stephen Green (stephen.green2@nottingham.ac.uk) or Dr Sam Cox (sam.cox@nottingham.ac.uk). Please note that applications sent directly to these email addresses will not be accepted.

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Your application will be considered on an equal basis, subject to the relevant permission to work in the UK as set out by UK Visas & Immigration.

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