About us: Daedalean is a Zürich-based startup founded by experienced engineers who want to completely revolutionize air travel within the next decade. We combine computer vision, deep learning, and robotics to develop full “level-5” autonomy for flying vehicles.
Your role: In collaboration with our team of engineers, machine learning researchers and certification experts, prove performance guarantees of safety-critical aviation systems based on machine learning.

Areas of the work include:

• • Generalization bounds for deep neural networks.
  • Data completeness and correctness (high-dimensional data), impact analysis of distributions shift.
  • Robustness in development and operations (input and data robustness).
  • Analysis of dynamical systems and their filtering.
  • Monte-Carlo analyses based on complex statistical models (e.g. Bayesian networks).
  • Statistical hypothesis testing.

Preferred Qualifications:

• • At least MSc (preferably PhD) degree in theoretical Machine Learning, Computer Science, Math, Physics or related domain.
  • Proven experience in the domain of probability, statistics.
  • Hands-on experience with Machine Learning in the industry setting.
  • Creativity as we work on problems that no one has solved before.

Benefits:

• • A team of experienced engineers and researchers, who joined us from most recognized companies and institutions.
  • Difficult and interesting problems to solve.
  • Test flights in the Swiss Alps for you to join.
  • Stock options.
  • Pilot license subsidy.
  • Hybrid work setting.
  • Learning & Development budget: visit conferences of your choice.
  • Gym membership.