STFC
Organisation STFC
Organisation Detail Science and Technology Facilities Council
Reference Number IRC242619
Location Warrington See on Map
Salary £26297 - £26297
Date Posted 31 August 2017
Grade RC-C
Contract Type Graduates
Hours Full Time
Closing Date 30 October 2017
Interview Date



Salary: £26,297
Grade: RC-C
Contract Type: Open-Ended
Hours: Full Time
Closing Date 1: 30th October 2017
Assessment Centre Date: TBC

Background

The Science and Technology Facilities Council (STFC) is one of Europe’s largest science research organisations. We’re trusted to support, enable and undertake pioneering projects in an amazing diversity of fields. Through world-class facilities and people, we’re driving ground-breaking advances in science and technology.

Our graduates join us in a permanent position, starting a real job from day one. Graduates enjoy two years of formal soft skills together with technical training and development, as well as a direct route to professional accreditation. STFC graduates have the opportunity to build on their degree, taking their understanding, knowledge and skills to a whole new level in a dynamic, creative, collaborative culture.

STFC’s Accelerator Science and Technology Centre (ASTeC) undertakes particle accelerator research for current and future ‘Big Science’ facilities. We work on numerous high profile projects with national and international partners, such has CERN, DESY and PSI. The accelerator physics group within ASTeC has expertise in designing, commissioning and operating particle accelerators and are currently working on a next generation test facility, CLARA, hosted at Daresbury Laboratory. CLARA will test Free Electron Laser concepts and novel acceleration concepts and provide a platform for much of the underpinning research and development of the future UK X-ray laser facility. One of the dreams for this next generation facility is a machine that optimises itself to achieve Ultimate Performance. Obtaining the ultimate accelerator performance will require a research and development programme incorporating online and offline data with advanced control methods such as non-linear optimisation algorithms, machine learning, and artificial intelligence. Many of these techniques are still in their infancy or yet to be demonstrated on a working accelerator and so we are planning to expand in this area.

Therefore, many opportunities exist for a well-motivated candidate 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.


Summary of Key Duties

The ideal candidate shares our passion for applying programming and problem solving to science and technology. We are looking for a graduate who is excited by the challenge and looking for an opportunity to immerse themselves in a new enterprise where they can play an active and important role developing new systems:

  • Advanced Controls, feedback and optimisation, implementing machine learning techniques for improved performance
  • Data Science (processing and analytics).  Development, implementation and maintenance of Extensible Standardised Data Structures, for offline and online data and utilising the data to improve machine performance and design
  • integration with High Level Software, controls and technical systems.

Responsibilities

Developing Machine learning techniques for online and offline systems including:

  • data classification, clustering, dimensional reduction and regression
  • Component Database specification, management and integration
  • storing all accelerator relevant information in interlinked data structures
  • integration with accelerator High Level Software, controls and technical systems. 

Knowledge, Skills and Experience

You will need to have a strong background in a quantitative field (physics, maths, computer science, statistics, or similar) with good programming skills. A solid understanding of the skills & techniques needed to work with modelling physics systems and experience with machine learning and data science techniques.

 

Qualifications

Essential:          
 

  • obtained first degree bachelors or Masters, (not doctorate) in a relevant subject in either 2017 or be due to receive it in 2018
  • expected or have achieved a 2:1 or above
  • the right to live and work in the UK.

Knowledge, Skills and Experience

Essential:

  • experience with object-oriented and/or functional programming such as  c++, Python and Mathematica
  • ability to apply knowledge of physics and/or mathematics to produce technical solutions.

Desirable:

  • experience using databases such as SQL
  • experience with Machine learning techniques.

Personal Skills, Qualities and Attributes

Essential:

  • excellent reasoning skills and ability
  • good communication skills and team working capabilities
  • open minded and flexible in relation to the type of work assigned with a willingness to learn new skills, both technical and non-technical
  • willingness to contribute to accelerator research at the highest level 
  • willingness to partake in casual rostered shifts and occasional national and international travel.

 

STFC’s Graduate scheme is accredited by the; Institution of Mechanical Engineers, the Institution of Engineering and Technology, the Institute of Physics and the British Computer Society. You’ll get the chance to work on cutting-edge projects with international collaborators.

We offer 30 days leave allowance, plus 10.5 public and privilege holidays. Full details of offered benefits can be found on STFC’s Career Pages.

Every graduate is provided with a mentor to help support them through the graduate scheme and to become chartered. Providing you perform well and make good progress with your training plans, you will be promoted after two years with us, receiving a significant salary increase.

From April 2018, STFC will be part of UK Research and Innovation. UK Research and Innovation will bring together the seven Research Councils, Innovate UK and a new organisation, Research England. The aim is to create a system that maximises the contribution of each of the component parts and creates the best environment for research and innovation to flourish. The vision for the new organisation is to be the best research and innovation agency in the world. More information can be found online here.

In order to apply for this role you must have:

  • obtained your first degree bachelors or Masters, (not doctorate) in a relevant subject in either 2017 or be due to receive it in 2018
  • expect to or have achieved a 2:1 or above
  • the right to live and work in the UK.

Please apply online only. Please submit a CV and cover letter outlining your suitability for this role.

Please ensure that your name and the IRC reference are included in the file name description of each document uploaded. Please also state where you saw this role advertised. No Agencies.

We recruit on a rolling basis therefore we recommend you to apply as soon as possible to avoid disappointment. Applications will be reviewed and considered on an on-going basis until our assessment centres are filled.

Rolling Closing Date 1: 30th October 2017

To find out more about our graduate assessment process please visit our Graduate Page.