JOB DESCRIPTION:

There is a Senior AI Research Scientist-Medical Applications position available at EDDA Technology, Princeton, NJ. Responsibilities include:

Develop and apply advanced AI and machine learning techniques for medical application problems such as representation learning, multi-object tracking, multimodal data integration, time series modeling, and surgical robot control optimization;

• Rapidly prototype image/video analysis and surgical robot application modules and conduct experiments to test AI model viability;
• Lead AI research, develop clinical solutions, and validate new methodologies;
• Stay updated with the latest AI research and advancements;
• Collaborate closely with clinical customers to solve real-world problems;
• Conform to the Company’s standard/procedure of product development;
• Efficiently communicate with project managers and team members on the execution;
• Other job responsibilities as assigned by the management.

CANDIDATES SHALL MEET PART OF THE BELOW QUALIFICATIONS:

• Strong background in Artificial Intelligence, Machine Learning, Deep Learning and/or Medical Image Analysis and/or robot control with 5+ years of experience developing and applying machine learning methods;
• Experience and skills in working with deep reinforcement learning (deep RL) is a must;
• 5+ years of experience in the related fields preferred, with excellent software engineering skills in using C/C++; Other software skills preferred include Python, Pytorch, Tensor Flow, and Keras;
• Experience and skills in working with large language models (LLMs), large vision models (LVMs), natural language processing (NLP), and advanced deep neural network models;
• Strong team player and highly self-motivated individual with desire and ability to learn quickly;
• Written and verbal communication skills in English are required;
• PhD in AI/ML/CE/EE/CS/ BME.

DESIRED QUALIFICATIONS:

• Robotics experience (inverse kinematics, path planning, robotic control and simulation, robot-assisted surgical procedures, etc.) is desired;
• Knowledge in human anatomy and interpretation of medical images a plus;
• Hands-on experience and knowledge in DICOM a plus;
• Experience in processing ultrasound images a plus.

Please refer the Job description for details