This position requires a PhD in computer science, electrical or mechanical engineering. The successful candidate should have extensive skills with Robot Operating System (ROS) and Machine Learning. Hands-on experience with robotics including experimental, computational and prototyping skills are required. Excellent oral and written communication skills are also required.
The Louisville Automation and Robotics Research Institute (LARRI), at the University of Louisville Speed School of Engineering is seeking a postdoctoral applicant interested in research involving human-robot interaction and social robotics. This is a term appointment and has fixed end dates. The total duration of this postdoctoral service may not exceed 2 years. The candidate will be mentored by Dr. Dan Popa, Professor.
During this post-doc experience, the candidate will work on exciting research initiatives funded through National Science Foundations KY-EPSCOR and SCH (Smart Connected Health) Autism projects; the candidate will train for these research initiatives under the supervision and direction of Dr. Dan Popa. The first project involves developing collaborative human machine interfaces with applications in manufacturing. The second project will involve the development of novel user tracking systems for autism studies.
We are seeking an independent, dedicated, hard-working individual with an appropriate background in robotics, human sensing, and instrumentation, and intimate knowledge of ROS and National Instruments LabVIEW, and a strong research publication record in IEEE Robotics and Automation Society journals and conferences.
The Louisville Automation and Robotics Research Institute encourages candidates to apply who have demonstrated capacity to create inclusive work environments, will work effectively on increasingly diverse teams, and will serve the increasingly diverse students we admit and want to attract.
Please send current CV, along with a cover letter, to firstname.lastname@example.org.
We have multiple professors who are looking for students in mechanical, electrical and computer engineering. Our GRA positions include stipend and tuition in return for 20 hours per week of research.
Interested candidates should send their CV and transcript to email@example.com