Advanced-computing Specialist

4 months ago

Culham, United Kingdom UK Atomic Energy Authority Full time

Company Description

By 2050, the planet could be using twice as much electricity compared to today. Are you interested in contributing and helping to shape the future of the world’s energy? If so, read on.

Fusion, the process that powers the Sun and Stars, is one of the most promising options for generating the cleaner, carbon-free energy that our world badly needs. UKAEA are at the forefront of realising energy from fusion, working with industry and research partners to deliver the ground-breaking developments that will underpin tomorrow's fusion power stations with the aim of bringing fusion electricity to the grid. As we work towards our mission and goals, UKAEA has devised values (**Innovative, Committed, Trusted and Collaborative**) that capture the spirit of how we work.

**Job Description**:
UKAEA’s mission is to lead the delivery of sustainable fusion energy and maximize scientific and economic impact. The Computational Science & Engineering within the Computing Division performs support, research, and development roles within UKAEA. Our remit covers very diverse areas such as cloud computing, high performance and high throughput computing, algorithm development/computer science, engineering and scientific computing, artificial intelligence, machine learning and Exascale technologies, all aimed at assisting researchers to optimize their work, while contributing to the development and evolution of advanced computing infrastructures within the UK and beyond.

While we work closely with the Research Software Engineering Group and IT Groups, our portfolio is both broader and more research focused, support activities being a smaller fraction of our activities than these others. We are currently seeking to appoint new staff in Artificial Intelligence & Machine learning.

This project is a secondment at STFC Hartree Centre from UKAEA as part of Hartree Centre - UKAEA collaboration. The secondments advertised here will be jointly supervised by UKAEA and STFC Hartree Centre and will be based at STFC Hartree Centre,** **Sci-Tech Daresbury, Warrington.

**Secondees may also be located at the Rutherford Appleton Laboratory, in Oxfordshire, where some of the Hartree Centre team members are permanently based.** **This position is permanent and inclusive of a two-year secondment is open for different levels,**

**Level 4 - Pay Grade Minima of £35,520 + £3100 (Market Premia Payment)**

**Level 5 - Pay Grade Minima of 46,293 + £6000 (Market Premia Payment)**

**Responsibilities**:

- Work closely with Hartree Centre team on joint tasks with UKAEA advancing state-of-the-art in Nuclear Fusion modelling and simulation using advanced HPC, AI/ML methods.
- Actively seek out new research and funding opportunities.
- Manage small to medium size teams of 4-10 people, working on 2-3 projects concurrently.
- Engage with national and international partners, including sitting on working groups and expert groups.
- Build a team around your research area.
- Contribute to two or three papers in refereed journals per year, ideally as lead author on at least one.
- Work with national and international partners on the development of AI based numerical solutions to complex problems.
- Work across departments seeking opportunities to improve performance using AI based solutions.
- Establish and grow relationships with commercial vendors to assess latest hardware for use in AI/ML.

**Qualifications**:
**Essential skills, experience and competence required**
- At least a master’s degree in a computational, mathematical or physical science discipline or equivalent experience
- Demonstrable experience of at least one compiled level language (e.g. C++, Fortran, C, Rust) or advanced scripting language (e.g. Julia, R, Python, Swift Parallel Scripting)
- Good experience of the UNIX operating system, particularly the command line interface

**Algorithm Development**:

- Solid foundation in mathematics
- Demonstrable experience in numerical methods (e.g., linear algebra, von Neuman stability analysis),
- Demonstrable experience of implementing numerical algorithms, e.g., in software libraries or as standalone code,
- Knowledge of parallel programming techniques - such as MPI, OpenMPI
- Experience in the use of code profiling and optimisation tools on UNIX platforms

**AI/ML**
- Demonstrable experience in the use of common AI/ML frameworks (e.g., PyTorch, TensorFlow, OpenNN)

**Engineering Applications Development**
- Demonstrable experience in one or more relevant computational engineering fields (e.g., CFD, FE methods, computational electromagnetics)
- Knowledge of OpenMP, MPI and/or Monte Carlo techniques
- Experience in the use of data visualisation
- Experience in the use of debugging and code optimisation tools on UNIX platforms

**Research Data Management**
- Knowledge of FAIR principles, including Provenance tracking
- Willingness to adopt novel approaches to data management
- Experience of different database technologies
- Abi

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