The University of Miami is seeking a Post Doctoral Associate to conduct scientific research and studies, contributing to the institution's recognition within the scientific community, specifically focusing on interdisciplinary robotics research and educational initiatives.
Requirements
- Ph.D. in Electrical and Computer Engineering, Robotics, Mechanical Engineering, or a closely related Engineering field.
- Extensive experience in robotics system design, real-time control, and embedded systems integration.
- Demonstrated expertise in artificial intelligence, including reinforcement learning, computer vision, and deep neural networks applied to robotics.
- Strong programming skills (Python, C++, MATLAB) and experience with software tools such as TensorFlow, ROS, Gazebo, and OpenCV.
- Familiarity with robotic hardware platforms (e.g., Kinova robotic arms, UAVs, mobile robots) and real-time operating systems.
- Skilled in using office software, technology, and relevant computer applications.
- Ability to learn new procedures, technologies, and protocols, and adapt to changing priorities and work demands.
Responsibilities
- Conducts research on specific areas of study as assigned.
- Prepares research reports and technical papers for publishing.
- Investigates the feasibility of applying a wide variety of scientific principles and theories.
- Maintains substantial knowledge of state-of-the-art principles and theories.
- Develops advanced analytical models and systems and provides solutions and analyses to support strategic and tactical decisions.
- Lead and contribute to research involving AI-powered and AI-enabled robotic systems, including deep reinforcement learning, computer vision, and human-robot interaction.
- Design and conduct experimental studies involving robotic platforms such as dual-arm manipulators, mobile robots, and wearable/exoskeleton robotic systems.
Other
- Ability to work collaboratively with others and contribute to a team environment.
- Strong and clear written and verbal communication skills for interacting with colleagues and stakeholders.
- Excellent communication skills and ability to work in cross-functional and interdisciplinary teams.
- Demonstrated initiative, creativity, and problem-solving ability in research and development environments.
- Track record of peer-reviewed publications and active participation in interdisciplinary research projects.
