Engage in cutting-edge scientific research projects in the field of medicine, actively contributing to research that combines Motion Planning, Human Computer Interaction, Reinforcement Learning, and other advanced technologies. The target venues for publication include ICRA, IROS, RSS, MICCAI, CHI and beyond.
Assist in designing experimental protocols with meticulous attention to detail while collecting and processing experimental data for rigorous verification.
Develop code and implement algorithms to provide technical solutions for medical applications.
Contribute to paper writing and submission by conducting comprehensive analysis and interpretation of experimental results as well as describing technical methodologies with precision.
Actively participate in team discussions and collaborate closely with fellow team members to drive project progress and achieve impactful outcomes.
Job Requirements
Education requirements: Master's degree or higher in computer science, electronic engineering, mechanical engineering, biomedical engineering, statistics, or related fields;
Knowledge background: Profound understanding of machine learning and deep learning algorithms, familiarity with commonly used models and algorithms such as neural networks, decision trees, support vector machines, random forests;
Programming proficiency: Proficient in programming languages like Python or C++, capable of implementing and debugging machine learning algorithms with relevant project experience;
Practical skills: Strong practical design ability with prior experience in robot-related projects to effectively apply theoretical knowledge to practical applications;
English proficiency: Excellent English reading and communication skills enabling comprehension and utilization of English literature and technical materials.
