PhD Position Quantum Algorithms for Numerical Simulation in Aerospace

PhD Position Quantum Algorithms for Numerical Simulation in Aerospace

Are you passionate about quantum computing, numerical simulations, and aerospace? Join our team and collaborate with industry partners to bring quantum computing closer to real-world engineering.

The aerospace sector faces increasingly complex engineering challenges. Designing the next generation of aircraft, spacecraft, and propulsion systems requires numerical simulations that are both more accurate and computationally more demanding than ever before. While Computational Fluid Dynamics (CFD) has become indispensable for aerospace design, many important problems—including high-fidelity flow simulations, uncertainty quantification, and multidisciplinary optimization—remain beyond the reach of today’s supercomputers.

Quantum computing offers a fundamentally new approach to scientific computing. Although large-scale quantum computers are still under development, they have the potential to solve certain computational problems far more efficiently than classical machines. Realizing this potential requires entirely new numerical algorithms that combine advances in quantum computing with decades of expertise in computational science.

In this PhD project, you will help develop the foundations of Quantum Computational Fluid Dynamics (Quantum CFD). You will investigate how fluid dynamics can be simulated on quantum computers by designing novel quantum algorithms, implementing software, and evaluating their performance on quantum computer simulators and potentially real-world quantum computers. The project combines numerical analysis, scientific computing, quantum computing, and aerospace engineering in an exciting interdisciplinary research environment.

You will be part of TU Delft's Quantum‑CFD Lab, which has long-term experience in developing quantum lattice Boltzmann methods. This position is funded by IHI Corporation, one of Japan’s leading engineering companies and a global technology leader in aerospace, energy, and industrial systems. Working closely with both TU Delft and IHI, you will contribute to research at the interface of fundamental science and future industrial applications in the aerospace sector.

You have:

• A Master’s degree (or are close to completing one) in Applied Mathematics, Computer Science, Aerospace Engineering, Physics, Computational Science, or a closely related field.
• A strong background in numerical methods, scientific computing, computational physics, or quantum computing.
• Excellent programming skills in Python and/or C++. Experience with scientific software development is an advantage.
• An interest in quantum algorithms and the motivation to contribute to one of the world’s emerging research areas.
• Strong analytical and problem‑solving skills and the ability to work both independently and as part of an interdisciplinary team.
• Good communication skills and an excellent command of written and spoken English.

Working at TU Delft means contributing to solutions that really make a difference.

For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.

At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high‑quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.

The Faculty of Electrical Engineering, Mathematics and…