Master Thesis (all genders) - Automated Design of Fuel Cell Systems

About H2FLY Join H2FLY, the leader in hydrogen-electric powertrain systems for aviation. Since 2015, we’ve been developing, integrating and testing hydrogen-electric powertrains and demonstrated several records including the world’s first piloted flight powered by liquid hydrogen. Since 2021, we’re part of Joby Aviation, the leading developer of electric air taxis. Together, we’re accelerating the path toward quiet, zero-emission flight. As part of our team, you will work hands-on on cutting-edge technology that is shaping the future of aviation. By harnessing the power of fuel cell technology, our team is at the forefront of making hydrogen-electric flight a reality. From engineers to software experts, our team spans different disciplines. We celebrate the different skills and perspectives everyone brings to the table and foster a work environment where new ideas can thrive. Become part of the future of flight. Responsibilities Conduct literature research on graph-based design synthesis, system architecture generation, and multidisciplinary optimization Develop an automated workflow for generating different fuel cell system architectures Integrate the workflow with our existing steady-state system simulation in Python Benchmark and evaluate the generated architectures based on relevant system parameters Optional: Perform multi-objective optimization to generate Pareto fronts, e.g. system weight vs. efficiency Background of Your Thesis One of the core challenges in scaling polymer electrolyte membrane (PEM) fuel cell systems for aviation is navigating the complex trade-off between system weight and overall efficiency. Designing suitable system architectures requires a comprehensive understanding of the highly interconnected domains within a PEM fuel cell system. To push these powertrains towards their full potential, the large design space of possible component arrangements and system architectures needs to be systematically explored. The objective of your master’s thesis is to develop an automated, graph-based synthesis approach to explore this multidimensional design space. You will develop a computational workflow that systematically generates physically viable fuel cell architectures based on predefined aviation requirements. The resulting architectures will then be benchmarked and evaluated using steady-state system simulations. Requirements Enrolled student (all genders) in a technical field, e.g.simulation technology, aerospace engineering, systems engineering, mechanical engineering, (applied) mathematics, or a related discipline You have successfully completed a bachelor’s degree or equivalent qualification in a STEM discipline You have good Python programming skills; experience with object-oriented programming is a plus Ideally, you have a strong academic background in thermodynamics First hands-on experience with system simulation or modeling is a plus You enjoy tackling complex technical challenges and work in a structured and independent way Good German and English language skills What we're looking for We're looking for people who take initiative, own their work, and develop solutions together. You enjoy working hands-on, stay curious, and are ready to grow with us. Hands-on mentality: You turn ideas into action and aren't afraid to roll up your sleeves Ownership: You take responsibility for your work, embrace new challenges, and think proactively Team collaboration: You work well in teams, communicate clearly, and organize your work independently Structured thinking: You approach complex tasks methodically and focus on finding solutions Personal qualities: Curiosity, resilience, and a willingness to keep growing What we offer Working with purpose: transforming the aviation industry Remote work options 30 days paid vacation Access to the Corporate Benefits platform A public transport friendly office and In-house gym Regular team events and celebrations A team that truly values diversity and achieves great things together