Develop high-throughput, automatic bioreactor systems for in vitro mass production of tissue engineered blood vessels, or other connective tissues, and minimize the cost of manufacture by streamlining the hardware and software setups with robotics automation;
Develop high-throughput (> 96 channels) implantable pulse generator, and associated electrical or biochemical sensors, and machine learning algorithms, for monitoring and analyzing body health signals;
Collaborate with team members with different technology backgrounds, materials/mechanical/electronic/genetic/biomedical background, etc., to accelerate software and hardware development;
Mentor junior hardware, software engineers, interns within the team;
Share knowledge internally and externally through documentation, publications, workshops, tech talks, and demos.
PhD in the field of systems engineering, sensor fusion, machine learning, robot control, or microelectronics;
8+ years of experience in robot automation, with integrated sensors and real-time sensor fusion algorithms;
8+ years of experience with PCB design and electronics, including microprocessors, communication module, sensors, etc;
8+ years of experience in software engineering, using C++ and Python;
In-depth knowledge of image processing, machine learning and control systems；
Proven expertise in deploying vision algorithms and neural networks on edge AI chips;
The candidate must have published papers, in leading conferences or journals in the field of robotics, such as ICRA, IROS, or RAL;
Ability to create repeatable and scalable experiments using well-documented code to test well-formed hypotheses；
Fluent in English, German/French/Italian/Mandarin is a plus.
Senior Systems Engineer