Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics
Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics

Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics

Cambridge Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop mathematical models for complex mechanical systems dynamics and collaborate with multidisciplinary teams.
  • Company: SLB is a global tech leader innovating energy solutions for a balanced planet.
  • Benefits: Enjoy competitive salary, private healthcare, wellness programs, and flexible benefits.
  • Why this job: Join a dynamic team tackling real-world energy challenges while advancing your career in a supportive environment.
  • Qualifications: PhD in Applied Mathematics or related field; proficiency in MATLAB, Python, and problem-solving skills required.
  • Other info: Participate in the SLB Eureka Technical Careers program for exceptional technical growth.

The predicted salary is between 36000 - 60000 £ per year.

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.

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.

Career Advancement:

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.

Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics employer: Schlumberger

At SLB, we pride ourselves on being an exceptional employer, offering a dynamic and multidisciplinary environment at our Cambridge Research centre. Our commitment to employee growth is exemplified through the SLB Eureka Technical Careers program, which nurtures technical expertise and fosters innovation in energy solutions. With competitive salaries, comprehensive healthcare benefits, and a strong focus on work-life balance, we empower our team to make a meaningful impact in the pursuit of a balanced planet.
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Contact Detail:

Schlumberger Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics

✨Tip Number 1

Familiarise yourself with the latest trends in mathematical modelling for mechanical systems dynamics. This will not only help you understand the current landscape but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the energy and engineering sectors, especially those who work at SLB or similar companies. Attend relevant conferences and workshops to make connections that could lead to referrals.

✨Tip Number 3

Prepare to discuss your previous research and how it relates to the challenges faced by the energy industry. Be ready to articulate how your skills can contribute to SLB's mission of decarbonising the fossil fuel industry.

✨Tip Number 4

Showcase your computational skills by working on personal projects or contributing to open-source initiatives. This practical experience can set you apart and demonstrate your ability to apply theoretical knowledge in real-world scenarios.

We think you need these skills to ace Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics

Mathematical Modelling
Mechanical Systems Dynamics
Applied Mathematics
Differential Equations
Linear Algebra
Numerical Methods
Engineering Mechanics
Vibrations and Acoustics
System Modelling and Simulation
Control Systems
Proficiency in MATLAB
Proficiency in Simulink
Proficiency in ANSYS
Proficiency in SolidWorks
Programming Skills in Python
Programming Skills in C++
Analytical Skills
Problem-Solving Skills
Collaboration Skills
Communication Skills
Publication Skills

Some tips for your application 🫡

Understand the Role: Before applying, make sure to thoroughly understand the job description for the Research Scientist position. Familiarise yourself with the essential responsibilities and qualifications required, especially in mathematical modelling and mechanical systems dynamics.

Tailor Your CV: Customise your CV to highlight relevant experience and skills that align with the job requirements. Emphasise your PhD in Applied Mathematics or related fields, and showcase any experience with tools like MATLAB, Simulink, or programming languages such as Python.

Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also demonstrates your passion for energy innovation and how your work can contribute to SLB's mission. Mention specific projects or experiences that relate to the role.

Highlight Collaborative Experience: Since the role involves working in a multidisciplinary team, be sure to include examples of past collaborative projects. Discuss how you effectively engaged with different teams and contributed to successful outcomes.

How to prepare for a job interview at Schlumberger

✨Understand the Role

Make sure you have a solid grasp of what a Research Scientist in Mathematical Modelling for Mechanical Systems Dynamics does. Familiarise yourself with the key responsibilities and required qualifications, especially in applied mathematics and mechanical engineering.

✨Showcase Your Technical Skills

Be prepared to discuss your proficiency in tools like MATLAB, Simulink, and any programming languages relevant to the role. Bring examples of past projects where you've successfully applied these skills to solve complex problems.

✨Prepare for Problem-Solving Questions

Expect to face questions that assess your analytical and problem-solving abilities. Practice explaining how you would derive mathematical models and validate them against experimental data, as this is crucial for the position.

✨Engage with the Company’s Mission

SLB is focused on energy innovation and sustainability. Be ready to discuss how your work aligns with their mission to decarbonise the fossil fuel industry and contribute to a balanced planet. Show your enthusiasm for being part of this journey.

Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics
Schlumberger
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  • Research Scientist - Mathematical Modelling for Mechanical Systems Dynamics

    Cambridge
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-06-29

  • S

    Schlumberger

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