🚀 Internship

Energy Storage – Electrochemical Modelling Intern – 12 months internship


Oct 20

🚀 Placement Program


Rolling basis


You will join the Energy Storage research programme at Schlumberger Cambridge Research and be involved in the research and development of novel technologies for energy storage and integration with renewables. One of the greatest challenges to Net-Zero transition is energy storage, due to the intermittent nature of renewables and energy demand.

Electrochemical energy storage is one of the established methods for energy storage. The work will be primarily on modelling of electrochemical systems, exploring coupling the complex multi-physics of electrochemical systems. The project is a tremendous learning opportunity of many transferrable modelling skills, numerical modelling of complex systems, process engineering modelling, and AI-supported hybrid modelling. Although the majority of the work is modelling based, some complementary experimental work might be required including performing data analysis and interpretation of the experimental data. You will work within a team of scientists as an integrated part of the team working on on-going research projects. 

Candidates should be detail oriented, enjoy taking on new challenges and have good writing skills. 

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Area of Responsibilities



Surveying relevant literature for data and modelling approachesLearning and Building models on appropriate tools, open-source or commercialParticipating in regular meeting to discuss project progressWriting technical reports and presenting to peers
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Required skills:Good communication skillsProgramming Languages (e.g.: Matlab, Python)Excellent written and oral communications skillsHighly independent and motivated to learn and acquire new technical skillsExposure to any of the following would be a plus:Multiphysics modelling tools (e.g.: COMSOL, ANSYS)Process flowsheeting tools (e.g.: AspenPlus, Symmetry)Analytics tool (e.g.: Dataiku, R)
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