JJ Acton
@jjacton
Aspiring Energy/Commodities Analyst with expertise in computational modelling.
What I'm looking for
I am a dedicated materials scientist with a strong background in computational modeling and a passion for sustainable technology. My recent Master of Research at Imperial College London focused on soft electronic materials, where I achieved a distinction and conducted groundbreaking research on hybrid chalcogenide perovskite photovoltaics. My thesis involved high-throughput computational modeling and forecasting of photovoltaic material performance, utilizing advanced techniques such as Density Functional Theory (DFT) and High-Performance Computing (HPC).
During my undergraduate studies at Swansea University, I earned a First Class Honours degree in Materials Science and Engineering. My dissertation on additive enhancements for green solvent scalable perovskite solar cells involved leading experimental design and data-driven analysis of over 50 solar cell prototypes. This experience honed my skills in data analysis and experimental design, preparing me for a career in innovative materials research.
In my recent role at Brightstock Financial Planning, I collaborated with high-net-worth clients and developed a document analysis web app using Python and Streamlit, showcasing my ability to bridge the gap between technical expertise and client communication. I am eager to leverage my skills in a dynamic environment focused on energy markets and sustainable technology.
Experience
Work history, roles, and key accomplishments
Financial Planning Assistant
Brightstock Financial Planning
Sep 2024 - Present (11 months)
Supported compliance reviews and documentation for regulatory submissions for high-net-worth clients. Collaborated with the Director and Executive Compliance Officer to ensure high standards in client communication and reporting.
Education
Degrees, certifications, and relevant coursework
Imperial College London
Master of Research (MRes), Physics
Grade: Distinction (81.65%)
Activities and societies: Thesis: “Computational Discovery of Hybrid Chalcogenide Perovskite Photovoltaics.” Modules: Fundamentals of Organic and Inorganic Semiconductors and Materials Synthesis and Processing (79%), Device Physics and Applications and Materials Characterisation (67%).
Specialised in Soft Electronic Materials, focusing on computational discovery of hybrid chalcogenide perovskite photovoltaics. Conducted high-throughput computational modelling and forecasting of photovoltaic material performance using Density Functional Theory (DFT) and High-Performance Computing (HPC).
Swansea University
Bachelors of Engineering (BEng), Materials Science and Engineering
Grade: First Class Honours (77.47%)
Activities and societies: Dissertation: “Additive Enhancements for Green Solvent Scalable Perovskite Solar Cells.” (81%). Relevant Modules: Engineering Management (81%), Advanced Optical Materials and Devices (81%), Computational Materials (87%), Manufacturing Techniques in Engineering (90%), Functional and Smart Materials (76%) , Materials for Energy (75%), Software Engineering (70%).
Focused on Materials Science and Engineering, with a dissertation on additive enhancements for green solvent scalable perovskite solar cells. Led experimental design and data-driven analysis of over 50 solar cell prototypes to identify scalable, cost-effective material formulations.
Availability
Location
Authorized to work in
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