At a Glance
- Tasks: Develop molecular modeling and simulation approaches for energy and sustainability applications.
- Company: Global tech leader in energy innovation, committed to a balanced planet.
- Benefits: Competitive salary, private healthcare, wellness programs, and flexible benefits.
- Other info: Collaborative environment with opportunities to engage with industry and academia.
- Why this job: Make a real impact on energy challenges while advancing your research career.
- Qualifications: PhD in relevant fields and expertise in computational chemistry and programming.
The predicted salary is between 35000 - 45000 £ per year.
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. 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: Cambridge, England
SLB Cambridge Research (SCR) is part of SLB’s global network of research and engineering centers. 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.
Job Summary: We are seeking a postdoctoral researcher in computational chemistry to develop molecular modeling and simulation approaches for energy, materials, and sustainability applications. The role will focus on accelerating chemical and materials discovery and translating molecular-level insight into practical engineering solutions. Application areas may include carbon capture with solvents and sorbents, membranes, catalysts, electrochemistry, and oilfield chemistry.
Key Responsibilities:
- Develop molecular modeling workflows to study molecular interactions, reactivity, adsorption, solvation, and interfacial chemistry.
- Perform screening, property prediction, and formulation design for chemical and materials systems.
- Translate simulation results into actionable guidance for experimental scientists and engineers.
- Work with multidisciplinary teams to connect molecular-scale insight with applied technology development.
- Contribute to patents, publications, reports, and scientific discussions.
What the Postdoctoral Researcher Will Gain:
- Experience applying computational chemistry to real-world energy and sustainability challenges.
- Exposure to discovery, modeling, validation, and engineering translation.
- Collaboration with experts across chemistry, materials science, chemical engineering, data science, and energy technologies.
- Opportunities to engage with university and industry partners.
- A stronger research portfolio and professional network for careers in industry, academia, or applied research.
Essential Requirements:
- Doctor of Philosophy (PhD) in computational chemistry, physical chemistry, chemical engineering, materials science, physics, or a related physical science.
- Expertise in molecular mechanics, molecular dynamics, force fields, and density functional theory (DFT).
- Experience with conductor-like screening model methods, including conductor-like screening model for real solvents (COSMO-RS), and quantitative structure-activity relationship models.
- Strong programming and data analysis skills.
- Ability to develop models, make assumptions explicit, and communicate results clearly.
- Publication record in reputable peer-reviewed journals.
Desirable Skills:
- Familiarity with cheminformatics.
- Experience with machine-learned potentials, DFT-informed machine learning, or surrogate modeling.
- Knowledge of carbon capture, porous materials, membranes, electrochemistry, or oilfield chemical systems.
- Experience with high-performance computing and reproducible computational workflows.
What We Can Offer You:
- Competitive base salary, private healthcare for employee and 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. The recruiting process and the position can be adapted to fit most disabilities, please do not hesitate to mention this when applying.
Postdoctoral Researcher (Computational Chemistry) in Cambridge employer: SLB
At SLB, we pride ourselves on being an exceptional employer, offering a vibrant and innovative work culture in the heart of Cambridge. Our Postdoctoral Researchers benefit from state-of-the-art facilities, collaborative multidisciplinary teams, and ample opportunities for professional growth in the fields of energy and sustainability. With competitive salaries, comprehensive healthcare benefits, and a commitment to diversity and inclusion, SLB is dedicated to fostering a supportive environment where employees can thrive and contribute to meaningful advancements in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Researcher (Computational Chemistry) in Cambridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the field of computational chemistry. Attend conferences, webinars, or local meetups to meet potential colleagues and mentors. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your research projects, publications, and any relevant coding work. This will give you an edge during interviews and help demonstrate your expertise in molecular modeling and simulation.
✨Tip Number 3
Prepare for those interviews! Research SLB and their projects in energy innovation. Be ready to discuss how your experience aligns with their mission and how you can contribute to their goals in sustainability and decarbonisation.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team at SLB and contributing to a balanced planet.
We think you need these skills to ace Postdoctoral Researcher (Computational Chemistry) in Cambridge
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your relevant experience in computational chemistry. We want to see how your skills align with our mission at SLB, so don’t hold back on showcasing your expertise!
Showcase Your Research:Include details about your previous research projects, especially those related to energy and sustainability. We love seeing how you’ve applied your knowledge in real-world scenarios, so make it clear how your work can contribute to our goals.
Be Clear and Concise:When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and ensure your key achievements stand out. This helps us quickly understand your fit for the role.
Apply Through Our Website:Don’t forget to submit your application through our official website! It’s the best way to ensure we receive your materials directly and can review them promptly. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at SLB
✨Know Your Stuff
Make sure you brush up on your knowledge of computational chemistry, especially molecular modeling and simulation techniques. Be ready to discuss your previous research and how it relates to the role at SLB, particularly in areas like carbon capture and materials discovery.
✨Showcase Your Skills
Prepare to demonstrate your programming and data analysis skills during the interview. You might be asked to solve a problem or explain a complex concept, so practice articulating your thought process clearly and confidently.
✨Connect with Their Mission
SLB is all about energy innovation and sustainability. Familiarise yourself with their projects and values, and think about how your work can contribute to their mission. Showing genuine interest in their goals will set you apart from other candidates.
✨Ask Smart Questions
Prepare insightful questions that show your enthusiasm for the role and the company. Inquire about their current research projects, collaboration opportunities, or how they envision the future of computational chemistry in energy solutions. This demonstrates your proactive mindset and eagerness to engage.