Postdoctoral Researcher - Fluid Flow and Heat Transfer Modelling

We are a global technology company, driving energy innovation for a balanced planet. At SLB we create amazing technology that unlocks access to energy for the benefit of all. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape.

Location: Cambridge, England

SLB Cambridge Research (SCR) is part of SLB's global network of research and engineering centres. SCR is a dynamic, multidisciplinary environment with state-of-the-art research and computing facilities. We work on applied research projects in the physical sciences to meet the current and future challenges of the industry.

Supporting the global transition to cleaner and more sustainable energy sources, our multidisciplinary team is working on novel approaches to geothermal energy extraction, overcoming geographic limitations of conventional systems to enable scalability and accessibility worldwide. We are looking for a creative and self-motivated scientist who will contribute to the development of advanced models and methods for simulating fluid flow and heat transfer in such geothermal systems. A key focus will be providing critical insights into hydrodynamic phenomena and thermal processes through CFD simulations and simplified mathematical models.

Typical Responsibilities and Duties:

• Conduct CFD simulations and perform detailed analyses of complex 3D turbulent flow and heat transfer.
• Develop simplified mathematical models based on CFD insights for integration into the system-level frameworks to evaluate geothermal designs.
• Validate models and results against theoretical benchmarks, experimental data, and real-world observations.
• Prepare high-quality technical reports, scientific papers, and patent applications.
• Present results to peers, stakeholders, and at scientific conferences.
• Collaborate with the wider SLB technical community.

Qualifications:

• PhD in Fluid Mechanics or a related field in mathematics, engineering, or physical sciences.
• Proven expertise in CFD simulations, preferably involving turbulent heat transfer.
• Strong ability to develop mathematical models for fluid flows.
• Proficiency in C++ or Python programming.
• A track record of publications in reputable peer-reviewed journals.
• Excellent written and oral communication skills.
• Ability to work in a team and conduct independent research.
• Proficiency in CFD software, such as OpenFOAM, Ansys, or COMSOL.
• Experience in conducting resource-intensive CFD simulations.
• Knowledge of physics-based machine learning and reduced-order modelling techniques.

What we can offer you:

Competitive base salary with bonus, private healthcare for employee & family, subsidised dental care, Health & Wellbeing programs such as the Employee Mental health support, health & wellness coaching, part employer and employee funded pension contribution, Income protection scheme, life insurance.

SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.