Seismologist with Machine Learning Expertise

3 months ago

Edinburgh, United Kingdom Natural Environment Research Council (NERC) Full time

**Seismologist with Machine Learning Expertise Engineer**

**Multihazards and Resilience**

**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)**

**Fixed Term 18-month appointment**

**About the role**

**About you**

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.

**About us**

The British Geological Survey (BGS) is an applied geoscience research centre that belongs to UK Research and Innovation (UKRI) and is affiliated to the Natural Environment Research Council (NERC). It is a world leading geological survey whose core mission is to advise government of science related to the subsurface and to undertake applied research to solve earth and environmental issues, both in the UK and globally. It is funded directly by UKRI, as well as through research grants and private sector contracts.

We strive to promote equality and diversity across our organisation in order to continuously improve our scientific and organisational efficiency. As such, we aim to have a workforce with employees from all backgrounds with people who are passionate about earth science and who share our dedication to work for the good of the environment and the benefit of society.

**How to apply**

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.

**Skills Specification - Criteria to be assessed at Shortlist ‘S’ and Interview ‘I’ Stage**

**QUALIFICATIONS**

**Essential**
- PhD degree in a topic related to earthquake forecasting, statistical seismology or seismic hazard (S)

**Desirable**
- Working with machine-learning algorithms for earthquake detection and catalogue development within recent years (S,I)

**EXPERIENCE**

**Essential**
- Research experience on the development of earthquake catalogues using machine-learning algorithms and their benchmarking against standard datasets(S,I)

**Desirable**
- Familiarity with the statistical analysis of seismic catalogues(S,I)

**KNOWLEDGE**

**Essential**
- Theoretical seismology and earthquake physics and predictability(S,I)

**Desirable**
- Wider knowledge of ML tools enabling high-resolution earthquake catalog development(S,I)
- Knowledge of how forecasting approaches have been applied for operational forecasting, e.g. in Italy (S,I)

**SKILLS & ABILITIES**

**Essential**
- Excellent presentation and communication skills including the ability to present their science clearly to (non-)scientists verbal and in writing(S,I)

**PERSONAL QUALITIES**

**Essential**
- Experience in effectively managing own time and workload including multiple simultaneous tasks and in working within a mixed team of scientists in a cooperative way(S,I)

**MOTIVATION**

**Essential**
- Displays an enthusiasm for their science and how this can be applied to address real problems (S,I)

**About The British Geological Survey (BGS)**
- The British Geological Survey (BGS) is an applied geoscience research centre that is part of UK Research and Innovation (UKRI) and affiliated to the Natural Environment Research Council (NERC). It is a world leading geological survey that provides a core science mission to inform government of science related to the subsurface and its interfaces and also undertakes applied research for solutions to earth and environmental processes, both in the UK and globally. It is funded directly by UKRI as well as through research grants and via private sector contracts.
- BGS has an annual budget of approximately £60 million and employs 650 people. It has two main sites, a head office in Keyworth near Nottingham and the Lyell Centre, which is a joint collaboration with Heriot Watt University in Edinburgh. BGS works with more than 150 private sector organisations as well as having close links with 40 universities and sponsors approximately 100 PhD students each year.

**How to Apply**

**About UKRI**
- UKRI launched in April 2018, UKRI is a non-departmental public body sponsored by t

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