Thomas Hilger
Software Algorithmiker at Zeiss Semiconductor Manufacturing Technology
Based in Dresden, Germany
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Seniority
Other
Department
Other
Location
Dresden
Industry
Semiconductor Manufacturing
Company size
4.2K
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Background
About Thomas Hilger
Physicist and algorithm developer with a decade of experience in theoretical particle physics, astronomy (Gaia/ESA), and the automotive industry, driven by a passion for mathematics, Python, abstract thinking, and delivering high-quality solutions. With a career spanning over a decade, I have contributed to groundbreaking research in two distinct fields: theoretical particle physics and astronomy. In astronomy, I played a key role in the Gaia mission for the European Space Agency (ESA), where I developed algorithms to enhance the accuracy of astrometric data reduction, enabling the project to achieve unprecedented precision in mapping the Milky Way. My drive for abstract thinking allowed me to design innovative solutions to complex problems, pushing the boundaries of what was possible. As a postdoctoral research scholar, I conducted fundamental research in theoretical particle physics, combining my passion for mathematics and abstract reasoning with programming to develop models and simulations. Along the way, I also gained valuable experience in the automotive industry, applying my programming and analytical skills to solve complex engineering challenges. In my current role at Zeiss, I am known for my high-quality programming style and my dedication to ensuring the highest standards in the algorithms and solutions my team develops. Whether it’s writing clean, efficient code, meticulously reviewing my colleagues’ work, or applying abstract thinking to solve intricate problems, I take pride in delivering robust, reliable, and innovative solutions. My passion for mathematics, Python, and abstract problem-solving continues to drive my contributions to cutting-edge algorithm development, where I blend my analytical expertise and commitment to quality to push the boundaries of what’s possible.
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