Salary £25,198 - £29,390 or £31,305 - £37,028 (dependent upon qualifications and experience and inclusive of annual role-based allowance)
Full time / Permanent
Excellent opportunity for a Machine Learning Scientist to work in a leading science environment offering exceptional employee benefits.
The Science and Technology Facilities Council (STFC) is one of Europe’s largest research organisations. Through combining world-class facilities with major international collaborations, and some of the world’s most talented staff, we’re driving ground-breaking advances in science and technology/engineering.
The Accelerator Science and Technology Centre (ASTeC) is a centre of excellence for research and development on advanced particle accelerators. We work with the top particle accelerator laboratories around the world to deliver innovative and ground-breaking research facilities, pushing the science and technology frontier forwards. A focal point for these efforts is our dedicated accelerator test facility – CLARA, which is sited at Daresbury Laboratory. ASTeC is a key partner in the world-leading Cockcroft Institute (CI), which provides a breadth of expertise and a dedicated on-site training programme for early-career researchers.
Accelerator facilities are major investments in research infrastructure, used to investigate many of society’s most pressing problems, so it is vital that they be utilised as effectively as possible. Opportunities exist for individuals to work with the team of scientists, engineers and academic collaborators in developing new computational and data science systems whilst also helping to build the next generation of world-class ‘Big Science’ particle accelerators.
STFC is one of nine partner organisations that have been brought together to create UK Research and Innovation (UKRI); an organisation with a vision to ensure the UK maintains its world-leading position in research and innovation.
About the Role
We now have an excellent opportunity within the ASTeC Department for a machine learning specialist, working to develop and implement machine learning techniques for particle accelerators. The role will sit within the Magnetics and Radiations Sources group, with strong connections to the Accelerator Physics group in particular but with broad connections with the various machine learning interests throughout the department.
Key duties will include the application of machine learning techniques to both online operation of accelerators and offline systems. Machine learning techniques will be incorporated into advanced accelerator controls software to optimize performance during operation. Offline studies with datasets generated from the machine or simulations will underpin the online applications. Key techniques are anticipated to include data classification, clustering, dimensionality reduction, and image recognition.
The role will have access to expertise and training from the dedicated machine learning group within STFC and the successful candidate would also in turn be expected to help disseminate best practices within ASTeC.
We are looking for an individual with machine learning training/experience who is excited by the challenge of applying their expertise in this area. We welcome applicants at both first degree level and PhD level, with appointment to either our Band C or Band D level respectively. The ideal candidate will share our passion for applying programming and problem solving to science and technology.
The successful candidate needs to have a strong background in a quantitative field (physics, maths, computer science, statistics, or similar) with good programming skills. They should have a solid understanding of the skills & techniques needed to work with modelling physics systems and experience with machine learning and data science techniques.
You should be open minded and flexible in relation to the type of work assigned, with a willingness to learn new skills, both technical and non-technical.
You will display excellent communication and team working capabilities, a high level of drive, enthusiasm and focus on the achievement of goals, and a strong ability to think creatively to seek and accept change and continuous improvement.
STFC offers a benefits package designed to provide an excellent work/life balance including 30 days’ annual leave, flexible working hours, exceptional pension scheme, social and sporting activities and societies, a subsidised restaurant and good public transport links. Full details of offered benefits can be found on STFC’s careers pages.
How to Apply
Applicants are required to include a cover letter outlining their suitability for this role. Please also state where you saw this role advertised.
Applications are received by UK SBS; to apply please click the apply button. Applicants who are unable to apply online should contact us by telephone on +44 (0)1793 867000.
The closing date for applications is 8th November 2020.
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