The Kavraki group (http://www.kavrakilab.org) is seeking candidates to fill one postdoctoral research associate position in robotics. The group develops novel computational methodologies for enabling robots to work with and support people. We work on algorithms for motion planning for high-dimensional systems with kinematic and dynamic constraints, integrated frameworks for reasoning under sensing and control uncertainty, novel methods for learning and for using experiences, and ways to instruct robots at a high level and collaborate with them. Our research is inspired by a variety of applications: from robots that will assist people in their home, to robots that would build space habitats.
The purpose of this project is to develop informative and compact state and action representations, towards the goal of equipping robots with generalizable abilities to conduct manipulation tasks in unstructured environments. These representations will incorporate geometric, topological, and physical information necessary for executing a wide range of tasks, and possibly rely on machine learning techniques to achieve high computational performance and robustness. As one of the major concerns, we are also interested in exploring the possibility of improving the scalability of representations by leveraging previous experience of the robot, as well as refining and augmenting them over time through interactions with the environment. The successful candidate will work on designing novel task representations for complex manipulation, and integrating them with motion planning. General topic from tasks and motion planning will also be investigated as well as connection with sensing.
This position involves algorithm development, prototype implementations, and hands-on work with robotic platforms to demonstrate the results.
We are seeking candidates who have demonstrated ability to lead and/or work collaboratively in teams comprised of individuals of diverse backgrounds, skills, and perspectives.
Consistent with the National Research Council’s report, Convergence: Facilitating Transdisciplinary Integration of Life Sciences, Physical Sciences, Engineering, and Beyond, we are seeking candidates who have demonstrated ability to work in research groups that “… [integrate] the knowledge, tools, and ways of thinking…” from engineering, mathematics, and computational, natural, social and behavioral sciences to solve societal problems using a convergent approach.
We seek greater representation of women, minorities, people with disabilities, and veterans in disciplines in which they have historically been underrepresented; to attract international students from a wider range of countries and backgrounds; to accelerate progress in building a faculty and staff who are diverse in background and thought; and we support an inclusive environment that fosters interaction and understanding within our diverse community.
The George R. Brown School of Engineering ranks among the top 20 of undergraduate engineering programs (US News & World Report) and is strongly committed to nurturing the aspirations of faculty, staff and students in an inclusive environment.
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