Part-Time Research Scholar Biomedical Engineering New York University Biomechatronics and Intelligent Robotics Lab led by Prof. Hao Su (http://haosu-robotics.github.io) at NYU Tandon School of Engineering is seeking to hire a Part Time Research Scholar (Non-PhD) to work on mechatronics design, control, and reinforcement learning for wearable robots, surgical robots, and humanoid robots. New York University (NYU) is one of the top private universities in the United States, and the Tandon School of Engineering, located in Brooklyn, NY, is deeply committed to excellence in teaching and learning. NYU Tandon fosters innovation and entrepreneurship that make a difference in the world. The Biomedical Engineering department is at the center of a high-tech start-up culture where student and faculty innovation and entrepreneurship activities are supported and nurtured both in New York City, Brooklyn and across the NYU Global Network University. NYU Tandon Biomedical Engineering department leads multidisciplinary centers in medical imaging and data analysis, tissue engineering and regenerative medicine, synthetic and systems bioengineering, robotic and rehabilitation engineering, nano- and micro-bioengineering, neuro-engineering, and cell and immuno-bioengineering. Biomechatronics and Intelligent Robotics Lab focuses on use-inspired fundamental research, publishes high-caliber papers in Nature, Science Robotics, Nature Machine Intelligence, IEEE Transactions on Robotics, IEEE/ASME Transactions on Mechatronics, etc., and offers entrepreneurship opportunities. E xpectations: Candidates will be responsible for working with lab’s PhD students or postdoc on mechatronics design, reinforcement learning-based robot controller development, conducting experiments and data processing. The candidates will be expected to: + Conduct mechatronic system design, integration, and testing + Develop and evaluate models in machine learning and reinforcement learning + Publish papers in top robotics and AI conferences and journals + Collect and process data from human experiments and sensor measurements + Conduct human-subject experiments in medical robot applications The successful candidate will have a demonstrated background in one or more of the following areas, soft robots, legged robots, mechanism design and machine design, actuator design, electric motors, motor controller, embedded system, electronics, firmware, biomechanics, IMU sensors, Nvidia Isaac Gym, Simulator, as exemplified by a strong publication record. Expected start date and period of employment Expected start date is immediately. This position is expected to be for 6 months. Salary In compliance with NYC’s Pay Transparency Act, the hourly rate for this position is $27.00 per hour for up 20 hours per week. New York University considers factors such as (but not limited to) the specific funding source and the terms. Tandon faculty and students are at the forefront of the high-tech start-up culture in New York City and have access to NYU’s Global Network University. The NYU Tandon School of Engineering is deeply committed to excellence in teaching and learning. Tandon fosters student and faculty innovation and entrepreneurship that make a difference in the world. We are looking for candidate with a B.S. and/or M.S. degree in electrical, biomedical, mechanical, computer, or aerospace engineering or mathematics or computer science. The successful candidate will be driven, creative and team-oriented with excellent writing and programming skills in MATLAB, Python, or R and training in statistical signal processing, machine learning, and capability in applying various mathematical algorithms for biomedical engineering applications, and prepared for conducting human subject research including physiological health data collection and subsequent data analysis. Applicants should submit a cover letter, a current CV and a list of three references with complete contact information. All application materials should be submitted electronically via Interfolio and to: hao.su@nyu.edu and su.lab.robotics@gmail.com . Review of applications will begin as soon as possible and will continue until the position is filled. 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