6 of 6 Applied Mathematics Jobs in the South West

production systems. The Role: We are seeking a PhD-level RF/High-Speed Electronics Engineer with a strong foundation in applied mathematics, electromagnetic theory, and measurement science. You will work at the intersection of RF engineering, signal integrity, and electro-optics, developing high-frequency systems that … engineering, and high-frequency circuit theory. Experience with 3D electromagnetic simulation tools (e.g. HFSS, CST, or similar full-wave solvers) Strong applied mathematics background (linear algebra, signal processing, numerical methods, optimisation). Hands-on experience with RF measurement techniques and instrumentation (VNAs, oscilloscopes, spectrum analysers, BERTs) Programming ...

analytics, and the analytical computation of risk and sensitivities that the desk relies on to hedge. If you are passionate about applied mathematics, curious, and ready to make an impact, we are looking for you. Job summary As a Quantitative Researcher/Developer, Associate, in the Fixed … market making, and robust financial risk controls. Job responsibilities Develop advanced 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 ...

turn inputs into actions, and uphold trust through integrity. Skills and Competencies Experience and/or exposure in data science, machine learning, or applied artificial intelligence, including experience working on projects or collaborating with data scientists and engineers Hands-on experience building, training, and evaluating machine learning … ethical governance, and fostering a culture of responsible AI adoption across the organization. Education Degree in Computer Science, Data Science, Statistics, Applied Mathematics, Engineering, or a related quantitative field is required; a Master's or Ph.D. in a related discipline is preferred, but not required Responsibilities Lead ...

production-ready machine learning solutions, exploring, prototyping, and deploying ML approaches from initial concept through to live operation. Working at the forefront of applied AI alongside experts across multiple disciplines, you'll help users defend against threats, directly contributing to safer, more resilient systems deployed where they matter … scientific codebase. Provide advice and explain core ML concepts to customers and partners. Core Skills & Experience: A degree in Computer Science, Applied Mathematics, Statistics, Physics, or a related STEM field (or equivalent practical experience). Demonstrated proficiency in programming languages such as Python, producing clean, reproducible, well ...

home the other three days. About You You have achieved a PhD (or equivalent research experience) in Machine Learning, Physics, Geophysics, Applied Mathematics, Computational Science or a related disciplineYou have a strong research background at the intersection of machine learning and physical modelling, such as physics informed ...

teams to integrate new capabilities into the platform and support end-to-end design processes. Requirements: Education Master’s degree in Applied Mathematics, Mechanical Engineering, Computer Science, or related fields. Preferred: PhD or postgraduate research in numerical methods, mechanics, or simulation. Experience Minimum 2 years in engineering ...