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.
