Seismologist with Machine Learning Expertise Engineer

This role is based at the BGS offices in Edinburgh, which are situated on the Heriot Watt University campus

Appointment will be at UKRI Pay Band D/S2 – £39,375 per annum.

A great benefits package is offered including an outstanding pension scheme (with an extremely generous employer contribution – on average 27% of your pay), 30 days annual leave plus bank holidays, and access to flexi-time

Full-time – 37 hours a week (some flexible working options may be available including consideration of part-time working and a small amount of remote working in line with BGS policy)

18-month appointment

An exciting opportunity has arisen for an enthusiastic seismologist with expertise in machine-learning workflows for seismic data analysis to develop enhanced earthquake catalogues to support the latest earthquake forecasting models.  The position is funded by the Digital-Twin-GEO project, https://dtgeo.eu/, an international partnership that aims to develop prototype Digital Twins for geohazards to empower discovery and promote the scientific understanding of earth processes. The work will focus on the implementation of existing workflows for demonstrator sites in Italy and the Euro-Mediterranean region, benchmarking the ML-based, enhanced catalogues and development of statistical metrics to describe their strengths/weaknesses.

We are looking for candidates qualified to PhD level in a topic related to earthquake forecasting, statistical seismology or seismic hazard.  In addition, you should have research experience on the development of earthquake catalogues using machine-learning algorithms together with a broad knowledge of forecasting of earthquake sequences using high-resolution data.

This role requires excellent communication skills, both verbal and written and involves team working so you must be able to work effectively with others and have good time management skills.

Please note – you will be required to have the appropriate level of security screening/vetting required for the role. UKRI reserves the right to run or re-run security clearance as required during your employment.

Please also refer to the additional specific essential and desirable skills criteria for this post.

Applicants are required to include a CV and covering letter outlining their suitability for the role. We would stress the importance of this paperwork in our selection process.

A well thought through application providing evidence and examples of how you meet the advertised essential and desirable criteria for the post will be considered far more favourably than a generic covering letter and CV.

If you experience any issues applying for this role, please contact Recruitment@ukri.org.

The closing date for receipt of applications is 23 June 2024

Advert information