Research Scientist; Computational Chemistry

Research Scientist (Computational Chemistry)

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. For a balanced planet.

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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.

SLB Cambridge Research is a distinctive marquee-like structure dominating the High Cross site on the western outskirts of Cambridge, England. This spectacular building was completed in 1985 and the smaller second phase was opened in 1992. It has recently been classified as a Grade II listed building. Altogether, there are more than 930 m2 of laboratory space and offices for more than 100 scientists, technicians, and domain experts.

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.

• 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.

• 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.
• 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.
• Familiarity with cheminformatics.
• Experience with machine‑learned potentials, DFT-informed…