Algorithm Developer (PHD Student)
The expanding Israel R&D center of a multinational company in the field of surgical robotics and digitization of the operating room seeks an MSC/PHD student level algorithm developer to join its R&D team developing the next generation of vision-assisted robotics in the operating room.
This role will develop efficient computer vision algorithms to incorporate into the Senhance robotic system software platform.
Duties & Responsibilities:
- Responsible for the development, implementation and evaluation of computer vision and image processing algorithms
- Understand the system requirements and convert these into usable algorithmic solutions
- Utilize existing research, literature and study of existing state of the art tools to develop best in-class solutions
- Interact with other departments including software engineers locally and remotely in order to incorporate solutions in the Senhance robotic system
Qualifications:
- Msc/PhD student in computer science or electrical/biomedical engineering
- Ability to work at least 20 hours per week at a flexible schedule.
- Proven experience in implementing modern computer vision and image processing algorithms and methods.
- Proficient in machine-learning and deep-learning based methods for computer vision
- Experience in Python programming
- Experience with deep-learning libraries including TensorFlow/PyTorch
- Experience with computer-vision libraries such as openCV
- Demonstrated ability to read and understand the relevant literature and research
- Team player capable of working in a multicultural and multi-disciplinary environment involving software engineers, algorithm engineers and physicians in local and remote settings.
- Specific experience in at least one of the following is an advantage:
- VAN/SLAM
- 3D reconstruction
- Stereo imaging
- Tracking
- Segmentation
- Industrial experience – an advantage
- Experience in a medical device company – an advantage
- Experience in C++ programming – an advantage
- Experience with NVIDIA software tools for implementing algorithms on GPU – an advantage
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