10 of 10 Numerical Analysis Jobs in the UK

Numerical method development for new software products This is an exciting opportunity to use your skills in numerical analysis and numerical methods to develop engineering fluid flow simulation software used widely in industry. With work underway on the next major revision of this software and many … roadmap, there will be plenty of work to keep you engaged. At its core this work requires the creation and modification of numerical methods for solving PDEs and ODEs and therefore requires strong understanding of numerical methods and analysis to produce robust and efficient algorithms. Ultimately your ...

This is an exciting opportunity to use your skills in numerical analysis and numerical methods to develop engineering fluid flow simulation software used widely in industry. With work underway on the next major revision of this software and many new features on the roadmap, there will … plenty of work to keep you engaged. At its core this work requires the creation and modification of numerical methods for solving PDEs and ODEs and therefore requires strong understanding of numerical methods and analysis to produce robust and efficient algorithms. Ultimately your work will need ...

Working On Develop and experimentally validate high-fidelity single- and two-qubit operations. Design, optimise and benchmark pulse shapes using quantum control, numerical optimisation and experimental techniques. Characterise gate error mechanisms, including coherent error, leakage, crosstalk, drift and control-chain distortion. Build robust experimental pipelines, data-analysis workflows … physics, quantum engineering, electrical engineering, applied mathematics or a related discipline. Experience measuring or modelling quantum systems. Experience developing scientific software for experiment control, numerical analysis or simulation. Strong scientific programming and data-analysis skills using Python or an equivalent language. A strong understanding of quantum mechanics ...

Income QTR team, you will provide advanced modelling solutions to the Fixed Income business. Your work will combine deep mathematical rigour — stochastic calculus, PDEs, numerical methods and the theory of the term structure — with solid software engineering to deliver best-in-class pricing, risk and hedging models … analytical, pricing and risk-management models for fixed income products, grounded in rigorous mathematics — stochastic processes, martingale pricing, PDE and Monte Carlo methods, and numerical optimisation Develop analytical risk and sensitivity techniques — closed-form and adjoint/algorithmic-differentiation Greeks, risk decomposition and attribution, and efficient hedge construction across ...

computational modelling: Develop and validate advanced physics-based models of robotic systems, including nonlinear mechanics, structural dynamics, large deformation and multi physics interactions, using numerical simulation tools such as COMSOL, ABAQUS or ANSYS. Robotic modelling and dynamics: Investigate the kinematics, dynamics and actuation of robotic manipulators, particularly soft … capture their complex physical behaviour. Experimental validation: Design and conduct experiments to validate high-fidelity computational models of robotic systems, integrating experimental measurements with numerical simulations to assess model accuracy, investigate dynamic behaviour and support the development of robotic manipulation and control. Research collaboration and validation: Work closely with ...

keep ecological footprints to a minimum. Every day brings variety and the chance to build deeper commercial expertise. What we’re looking for Qualifications & Numerical Skills: GCSEs (or equivalent) in English and Mathematics at Grade C/4 or higher, backed by proven numerical analysis capabilities ...

effects of material interfaces and operating conditions on device performance and reliability. Simulation & Design Tools: Develop and maintain semiconductor modelling workflows using TCAD and numerical simulation tools such as nextnano, Crosslight, Silvaco, Sentaurus or equivalent software, alongside Python-based modelling and data analysis. Epitaxy & Manufacturing: Work with external MOCVD … design, including quantum wells, strain engineering, lattice mismatch and the relationship between epitaxial structures and device performance. Modelling & Simulation: Practical experience with semiconductor TCAD, numerical device simulation or multiphysics modelling, and the ability to use modelling results to guide design decisions. Scientific Programming: Experience using Python or equivalent tools ...

consortia Lead international projects, develop new collaborations, and maintain and grow our research at the international cutting edge Perform your own research into novel numerical methods and algorithms with applicability within fusion and beyond Act as a source of advice to other divisions and programmes. Support wider skills development … project or technical manager Significant demonstrable experience and international reputation in one or more relevant computational engineering fields. Solid foundation in mathematics, especially numerical analysis, demonstrated by extensive publication records or contributions to relevant software libraries Experience of the development and implementation of testing strategies (verification and validation ...

Generate simulation data for training large-scale ML models, drawing on a mix of methods and fidelity levels. Develop and implement solvers and numerical methods, potentially in modern differentiable or GPU-native frameworks such as JAX or NVIDIA Warp. Work with multi-fidelity data: understand tradeoff between fidelity … research progress. What you bring A postgraduate degree (MSc or PhD) in engineering, applied mathematics, physics or a related field, ideally with research involving numerical analysis of PDEs or computational engineering. A PhD is preferred but not required. At least 1-2 years of industry experience ...

engineering. What You’ll Be Doing Lead modelling, simulation and uncertainty quantification activities that support fusion research and engineering programmes. Develop and apply novel numerical methods and algorithms for advanced computational challenges. Lead the design, development, testing and maintenance of scientific software and perform code reviews to maintain quality. … C++, Fortran, C or Rust, or an advanced scripting language such as Julia, R or Swift Parallel Scripting. Strong expertise in computational engineering, numerical analysis and scientific computing, evidenced through research outputs or software development contributions. Significant experience using high-performance computing systems and working within UNIX environments ...