Research Scientist - Mathematical Modelling

SLB; Cambridge; On-site; GBP 40,000 - 60,000; Full time

Job summary

A leading technology company is seeking a Research Scientist in Mathematical Modelling for Mechanical Systems Dynamics. The role involves developing mathematical models, collaborating with teams, and publishing research. Candidates should have a PhD in Applied Mathematics and strong computational skills.

Benefits

Competitive base salary with bonus

Private healthcare for employee & family

Subsidised dental care

Health & Wellbeing programs

Income protection scheme

Life insurance

Qualifications

• PhD in Applied Mathematics or similar discipline with knowledge of Mechanical Engineering.
• Proficiency in tools like MATLAB, Simulink, ANSYS.
• Relevant publications in reputable peer-reviewed journals are desirable.

Responsibilities

• Work in modelling complex mechanical systems dynamics.
• Review and report on different modelling approaches.
• Engage and collaborate with the SLB technical community.

Skills

Analytical and Problem-Solving Skills

Computational skills

Programming skills in Python, C++, or MATLAB

Education

PhD in Applied Mathematics

Tools

MATLAB

Simulink

ANSYS

SolidWorks

Abaqus

ADAMS

Job description

Research Scientist - Mathematical Modelling

Research Scientist - Mathematical Modelling

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Research Scientist – Mathematical Modelling for Mechanical Systems Dynamics

About SLB

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. That is our purpose. As innovators, that has been our mission for 100 years. We are facing the world’s greatest balancing act- how to simultaneously reduce emissions and meet the world’s growing energy demands. We’re working on that answer. Every day, a step closer.

Our collective future depends on decarbonizing the fossil fuel industry, while innovating a new energy landscape. It’s what drives us. Ensuring progress for people and the planet, on the journey to net zero and beyond. For a balanced planet.

Our purpose: Together, we create amazing technology that unlocks access to energy for the benefit of all. You can find out more about us on https://www.slb.com/who-we-are

Location:

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.

Job Summary:

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. The candidate will need to work constructively and effectively in a multidisciplinary team and engage with business and engineering teams to ensure their solutions have a significant impact. They will also present their work internally and externally.

Essential Responsibilities and Duties:

• Work in modelling complex mechanical systems dynamics.
• Review and report on different modelling approaches being developed within industry.
• 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.

Qualifications & Experience:

• PhD in Applied Mathematics or similar discipline preferably with knowledge of Mechanical Engineering and related fields.
• Core subjects: Applied Mathematics (Differential Equations, Linear Algebra, Numerical Methods). Engineering Mechanics (Statics and Dynamics), Vibrations and Acoustics, System Modelling and Simulation, and Control Systems.
• Computational skills:
• 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.
• Identifying and quantifying uncertainties within mathematical models.
• Relevant publications in reputable peer-reviewed journals are desirable

SLB Eureka Technical Careers (SETC) is an established and unique program that recognizes and supports our exceptional technical experts to grow and develop. This program is well known in the industry as the backbone of our technical strength and recognizes the development and commitment of our strong technical experts and technical leaders in support of our corporate strategy. The SETC program formalizes the recognition of your technical expertise, highlights the impact of your technical solutions in our business, and sets the framework to nurture knowledge sharing inside and outside Schlumberger.

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.

Other benefits are also available through the SLB flexible benefits program.

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.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology and Research

• Industries

  Technology, Information and Media and Oil and Gas

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