Patrick Zimbrod

Researcher Optical Models & Algorithms at Zeiss Semiconductor Manufacturing Technology

Based in Augsburg, Germany

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Seniority

Other

Department

Other

Location

Augsburg

Industry

Semiconductor Manufacturing

Company size

4.2K

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Email

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p•••••••@zeiss.com

Phone

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+49 ••• •••• ••••

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Background

About Patrick Zimbrod

Bridging Research & Application | Multiphysics Simulations | Team-Oriented Problem Solver With a PhD in Applied Computer Science and a background in Mechanical Engineering, I thrive at the intersection of research, engineering, and computational modeling. My expertise spans numerical simulations, computational physics, and software development—leveraging high-performance computing to solve complex real-world challenges. Currently working in R&D within the semiconductor industry, I develop advanced computational models to optimize extreme ultraviolet (EUV) lithography and wafer inspection optics. Prior to this, my PhD research led to groundbreaking simulation methodologies that significantly enhanced the efficiency and scalability of multiphysics problem-solving. Beyond technical expertise, I bring a strong interdisciplinary mindset and a collaborative spirit. Whether optimizing high-tech optical systems, engineering high-performance race cars, or leading teams in fast-paced environments, I combine analytical precision with creativity and strategic problem-solving. Key Strengths: Developing and implementing high-fidelity simulations (FEniCS, OpenFOAM, ANSYS) Strong programming & algorithm development (C++, Python, Julia, MATLAB) Interdisciplinary R&D in physics, engineering, and computational sciences Leading teams and fostering cross-functional collaboration Rapid adaptation to new challenges in high-tech environments I am excited about opportunities where I can contribute both my technical depth and my ability to work effectively in diverse teams. Whether it's cutting-edge research, engineering leadership, or data-driven problem-solving, I aim to drive innovation with a pragmatic and results-oriented approach. Let’s connect!

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