• You have completed, or are close to completing, an MSc or PhD in physics, aerospace engineering, mechanical engineering, computational science, applied mathematics, computer science, or a related technical field.
• You have strong foundations in physics, mathematics, or engineering, can reason from first principles, and have hands-on experience with numerical simulation or quantitative modelling.
• You can write practical scripts, preferably in Python, to automate work, analyse data, and test ideas.
• You are motivated by real engineering problems, product impact, and industrial applications.
• You communicate clearly, learn quickly, and demonstrate unusual ownership, persistence, and intellectual curiosity.
What can demonstrate exceptional ability
We care about evidence of ability and genuine technical interest, not one prescribed career path. Strong signals may include:
• Student engineering teams and competitions: active participation in teams such as SAE Aero Design, Formula Student, rocketry, UAV, robotics, satellite, or other engineering projects.
• Olympiads and technical competitions: national or international physics, mathematics, informatics, astronomy, or engineering competitions.
• Relevant internships or industry experience: placements in aerospace, automotive, energy, advanced manufacturing, research institutes, or industrial R&D.
• Applied research: work that connects modelling with experiments, measurements, design decisions, or a real physical system.
• Personal or open technical work: open-source contributions, simulation tools, automation, technical software, or a demanding project built independently.
Participation alone is not the goal. We are most interested in what you personally designed, simulated, built, tested, debugged, or improved.