PhysicsX
Cãtãlin Alexandru is a Machine Learning Engineer at PhysicsX with experience in data engineering, software engineering, machine learning, and data science. Cãtãlin has also interned at Bright Network, KPMG, and @AdamaRobotics, where Cãtãlin gained knowledge in technology, data analytics, and various technical domains. Cãtãlin has a Master of Science in Computer Graphics, Vision, and Imaging from UCL, and a Bachelor of Science in Computer Science from Queen Mary University of London. Throughout their academic and professional career, Cãtãlin has been involved in teaching, mentoring, and technical projects, showcasing a passion for technology and learning.
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PhysicsX
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PhysicsX is a deep-tech company of scientists and engineers, developing machine learning applications to accelerate physics simulations and enable a new frontier of optimization opportunities in design and engineering. Born out of numerical physics, we help our customers radically improve their concepts and designs, transform their engineering processes and drive operational product performance. We do this in some of the most advanced and important industries of our time – including Space, Aerospace, Medical Devices, Additive Manufacturing, Electric Vehicles, Motorsport, and Renewables. Our work creates positive impact for society, be it by improving the design of artificial hearts, reducing CO2 emissions from aircraft and road vehicles, and increasing the performance of wind turbines. We are currently recruiting for multiple positions, however please only apply for the role that best aligns with your skillset and career goals. We do not currently offer work experience.