ADASKY develops and manufactures a uniquely capable infrared camera and associated software stack for the automotive industry. We allow vehicles and road infrastructure to see at night as clearly as during the day and generally alleviate poor visibility, with the goal of improving road safety.
The Visual Perception Algorithms team at ADASKY is responsible for all algorithmic aspects of our perception pipeline. From integrating SOTA methods and training DNNs, through classical computer vision to sensor calibration and fusion. At every level there are difficult problems and exciting challenges.
We are looking for a talented and creative Ph.D. level engineer, who is like us, driven to save lives!
We are a small team with a big mission, and you will be able to take on a variety of different tasks and drive your ideas from conception to product. Qualifications:
Ph.D. in Computer Science, Electrical Engineering or related disciplines, with a strong publication record. Excellent M.Sc. candidates, with equivalent research experience in the industry, will also be considered.
Deep understanding of the operation principles of DNNs and their training process, data considerations and evaluation metrics.
Excellent mathematical skills.
Excellent programming skills.
Experience with Python (preferably expert level).
Effective communication skills in both written and verbal forms.