Technology and Innovation Scientist

Research Scientist – Mathematical Modelling for Mechanical Systems Dynamics 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. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. Ensuring progress for people and the planet, on the journey to net zero and beyond. Together, we create amazing technology that unlocks access to energy for the benefit of all. At SLB Cambridge Research (SCR), we strike a balance between academia and industry with projects from early-stage research all the way to solution development for real business challenges. 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 energy industry. We are seeking a creative self-motivated Research Scientist to develop mathematical models for mechanical systems dynamics. The job will require the ability to derive mathematical models of complex mechanical systems. Work in modelling complex mechanical systems dynamics. Work with experimentalists to validate models and concepts and match models to experimental or field data. Engage and collaborate with the SLB technical community. Ability to develop novel solutions to research and engineering problems and articulate them to the technology team and management. Publish scientific papers, write patent applications and attend conferences. PhD in Applied Mathematics or similar discipline preferably with knowledge of Mechanical Engineering and related fields. Applied Mathematics (Differential Equations, Linear Algebra, Numerical Methods). Proficiency in tools like MATLAB, Simulink, ANSYS, SolidWorks, Abaqus, or ADAMS (optional). Programming skills in Python, C++, or MATLAB for custom simulations. Analytical and Problem-Solving Skills: ability to derive mathematical models of mechanical systems. Career Advancement 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. Other benefits are also available through the SLB flexible benefits program. 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.