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, both existing aircraft and the electric VTOLs that you may have seen in the media.
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.
- PhD degree in theoretical Machine Learning.
- 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.
- 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.
Job is closed
This job is already closed and no longer accepting applicants, sorry.
