Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT-serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.

Position Summary:
Applications are invited for a post-doctoral associate position in computer simulation and machine learning. The candidate will work on an NSF -sponsored interdisciplinary project that aims to develop novel approaches to drone navigation in natural environments inspired by the biosonar of bats. The duties of the postdoctoral associate include developing large-scale simulation and novel robotic algorithms to enable biosonar-inspired sensing and navigation. Specific research tasks include method and algorithm development, environmental and echo data simulation, and data analysis. More information on the project is available at:
https://www.apps.stat.vt.edu/zhu/projects/sonar_page.htm . The Postdoctoral Associate will be primarily supervised by Dr. Hongxiao Zhu (Department of Statistics), but will work closely with other key investigators, including Drs. Rolf Mueller (Mechanical Engineering), Pratap Tokekar (Electrical and Computer Engineering), Xiaowei Wu (Statistics), and students.

Required Qualifications:
Prospective applicants should have: (1) A Ph.D. degree in computer science, computer engineering, statistics or a related discipline with focus on one or more of the following areas: high-performance computing, large-scale simulation, machine learning, computer graphics, artificial intelligence, robotic algorithms; (2) Extensive experience in coding with MATLAB or Python/R and low level programming languages in C/C++ or equivalent; (3) Skills in parallel computing and GPU -based computing.

Preferred Qualifications:
A good mathematical/statistical background and expertise in machine learning methods are preferred.



To apply please click here!