Data Scientist: AI/ML specialist
Culham Centre for Fusion Energy
Culham, Oxfordshire
6d ago

Are you a talented, motivated individual with a keen interest and experience in data science? Does the idea of driving disruption in the way we power the planet excite you?

If so, we want to hear from you.

The UK Atomic Energy Authority (UKAEA) is a pioneer in the quest to deliver commercial fusion energy (the process that powers the Sun and the stars).

Based at Culham Centre for Fusion Energy (CCFE) in Oxfordshire UK, we host the world s largest operating fusion experiment (JET) together with a host of other new world class facilities.

These include a robotics centre (RACE) focusing on robotic and autonomous systems in challenging environments, a materials research facility (MRF), technology facilities funded via the UK Industrial Strategy (H3AT and FTF) and a state of the art Spherical Tokamak : MAST Upgrade (funded by the EPSRC and Euratom) due to commence operation in 2019.

We are also a key player in arguably the world s most exciting yet challenging engineering project of 2018 : ITER, a €16B experiment designed to demonstrate the efficacy of the tokamak for confining and controlling a "burning" thermonuclear plasma.

UKAEA s Advanced Computing Programme supports all these facilities. As a result, we are expanding rapidly as ITER and the Exascale draw near.

Our mission is to "accelerate the delivery of commercial fusion energy by exploiting advances in data science and extreme scale computing".

We are seeking talented, driven individuals who are keen to push the boundaries of "the possible" - to drive disruption in plant operations, our science, in engineering design and in modelling and simulation.

These individuals will work with our national and international partners - at STFC, with the Alan Turing Institute, with our academic partners across the many Centres of Doctoral Training here in the UK, with national laboratories across the globe, with HPC hardware specialists and vendors and with our many industrial partners, both large and small.

As an established Data Scientist, promote, lead and execute hardware / software / algorithm development projects, helping to develop CCFE s infrastructure towards ITER and the era of Big-

Data and Exaclass computation. Specialising in data Science, especially AI and Machine Learning, this role spans the UKAEA programme areas, for example in anomaly detection, predictive maintenance, optimisation of plant operations, HPC code augmentation with AI / ML, control algorithms, plasma physics and materials modelling and simulation.

The individual will be responsible for the AI / ML Work Package of the UKAEA Advanced Computing Programme, helping to grow UKAEA s capability in this area, by supporting PhDs and developing joint research projects at various Centres of Doctoral Training, with the Ada Lovelace Centre at the Rutherford Appleton Laboratory, with the Alan Turing Institute etc.

They will carry out their own research in support of UKAEA s programmes, but will also be responsible for growing a team in this area as we approach ITER operations.

For further information on why UKAEA is a great place to work please review our recruitment video via the following link :

For full details on the role, UKAEA and our benefits please download the application pack.

Knowledge skills and experience

Essential-Relevant scientific / engineering / computing / mathematics / statistics degree or equivalent

  • An in-depth knowledge and demonstrable experience of AI and Machine Learning and modern Data Science methods in a physical sciences / engineering context (Deep Learning, Support Vector Machine, Uncertainty Quantification etc.).
  • A track record in having deployed and ideally developed new, advanced algorithms to take advantage of the rapidly evolving AI / ML landscape.
  • A deep understanding of modern Research Data Management best practice, , meta-data schemas / ontologies (, Dublin Core), semantic data, esp.
  • in the context of enriching Big Data for future machine learning.

  • A good grounding in the platforms for carrying out AI / ML training and deployment, , TensorFlow, Caffe etc.
  • A good grounding in mathematics / statistics and modern Data Science methodologies such as Bayesian Inference and Data Assimilation (Kalman Filter etc.
  • including at least one of the supporting programming languages (Scala, R, Java, Python, Stan, BayesDB etc.).

  • Experience (preferably including non-fusion experience, & gas, aerospace, F1 etc.) of working on large, HPC clusters (ideally linked to an internationally renowned supercomputing centre) or in the cloud.
  • Demonstrable project leadership skills (ideally having led industrial class or parts of EU funded Horizon 2020 style projects of size >
  • £100K involving multiple partners or similar sized projects within a large research organisation or software engineering consultancy).

  • Good team player with excellent communication skills and a demonstrated ability to work to strict deadlines
  • Desirable-Knowledge of Matlab, IDL

  • Experience of code / algorithm debugging and optimization together with relevant tools (such as ALLINEA DDT & MAP)
  • Experience of having developed in a range of programming languages including at least one compiled languages such as FORTRAN, C++ / c
  • Awareness of and ideally familiarity with the various established and emerging supercomputing technologies relevant to AI / ML (processing : x86, GPGPU, Intel MIC, ARM, Power8, FPGA, Google TPU, fabric : Infiniband, Omnipath, memory : 3D XPoint, HBM etc.).
  • Experience of cloud infrastructure preferably OpenStack and Docker in an AI / ML context.
  • Experience of scientific workflows infrastructures (such as Kepler)
  • Experience of big-data management infrastructures such as iRods
  • Knowledge of modern database technologies such as MongoDB and Cassandra including NoSQL and Graph Databases
  • Experience of parallel file access technologies (such as MPI-IO)
  • Experience of GUI development (especially Qt)
  • Experience in providing technical inputs to bids.
  • Special requirements : Please note all employees working at the UK Atomic Energy Authority will be required to complete an online Disclosure Certificate application as part of their clearance -

    The Disclosure & Barring Service (DBS) checks will show the details of all current criminal convictions (convictions considered unspent under the Rehabilitation of Offenders Act 1974) or will confirm that there are no such convictions.

  • As part of the selection process you may be expected to complete work based simulation exercises and a personality profile either online or onsite.
  • Please be advised that this vacancy may close earlier than stated if large or sufficient numbers of applications are received.
  • Please note UKAEA do not pay travel expenses for interviews.
  • The UK Atomic Energy Authority actively promotes equality and values diversity in our workforce. We operate a number of flexible working arrangements (such as part-
  • time working / job share / home working). Flexible working may be available with this role.

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