We are seeking a senior level researcher to join a focused commercial R&D effort aimed at accelerating numerical solvers used in engineering-scale fluid simulations. The role will be full-time with an initial fixed 12-month contract. The contract will be subject to extension based on project progress and candidate performance. The selected candidate will work alongside a small team of highly experienced researchers who have begun developing novel techniques to improve core solver performance in complex CFD applications. The project focuses on integrating high-efficiency, physics-informed solver modules into existing simulation frameworks used in coastal, hydraulic, and environmental engineering models. While the underlying methods are under active development, and will be communicated in detail upon engagement, the overarching objective is to streamline the solution of elliptic sub-problems common in potential-flow and fully non-linear and dispersive free-surface simulations.

Responsibilities
• Contribute to the design, coding, and integration of accelerated solver modules (including visualisation scripting in python)
• Collaborate with the research team on algorithm refinement, testing, and deployment.
• Participate in benchmarking and validation of solver performance across engineering test cases
• Writing support documentation, visualization, and communication of results for sponsors and collaborators
• Engage in long-term planning for technical milestones, publications, and scaling strategies
•
Required Qualifications
• PhD in Applied Mathematics, Mechanical/Civil Engineering, Geophysical Fluid Dynamics, Computer Simulation (Physics-based) or a closely related field. In an exceptional case a master’s degree (or relevant experience) could be considered sufficient.
• Proven research experience in fluid flow simulation or numerical modelling of PDEs
• Proficiency in C++ (or Fortran) and Python, with experience in scientific computing environments (with Linux OS).
• Familiarity with numerical discretization techniques for elliptic PDEs and linear system solvers
• Fluency in English and the ability to communicate complex ideas effectively.
• Ability to maximise productivity through the targeted use of large language models (AI)
• Ability to operate independently within a small, collaborative team

Preferred Experience
• Experience in boundary integral element methods (BEM, BIEM)
• Experience working with Matrix Algebra
• Experience with CFD software algorithms and source code (e.g., OpenFOAM, REEF3D)
• Background in high-performance computing and parallelization (OpenMP, MPI)
• Familiarity with verification and validation practices in applied simulation workflows
• Exposure to alternative discretization or solver strategies (e.g., meshless, domain decomposition, fast direct solvers)

This is an opportunity to contribute to applied research with clear performance goals and strong potential for an important broader impact in engineering simulation. Compensation is competitive and will scale with commitment and project growth. Working arrangements (i.e. remote, in office, hybrid) will be discussed with candidates during the interview process.

Interested candidates should send a CV, covering letter, and publications list to [email protected].