Postdoctoral Researcher

Job Title: Postdoctoral Associate

Job Summary:

The Assured Vehicle Autonomy (AVA) Lab at the Kevin T. Crofton Department of Aerospace and Ocean Engineering at Virginia Tech is seeking a highly skilled postdoctoral researcher to design, implement, and test new modeling, estimation, and detection methods for automated navigation systems using Global Navigation Satellite Systems (GNSS), inertial sensors, LiDARs, vision, and radars.

Key Responsibilities:

• Design and implement new modeling, estimation, and detection methods for automated navigation systems
• Test and evaluate the performance of these methods using real-world data and simulations
• Collaborate with the research team to develop and integrate new navigation algorithms with existing systems
• Conduct research in navigation applications for robotic or automated transportation operations
• Develop and maintain documentation of research methods and results

Requirements:

• Doctoral degree in Aerospace Engineering, Electrical Engineering, Applied Mathematics, or related discipline
• Expertise in navigation using Global Navigation Satellite Systems (GNSS), inertial navigation systems (INS), LiDAR, or other navigation sensors
• Expertise with Kalman filtering (KF), extended KF, or other sequential model-based estimators
• Experience with conducting research in navigation applications for robotic or automated transportation operations
• Strong experience with MATLAB
• Ability to work effectively in a team and manage students
• Strong communication skills

Preferred Qualifications:

• Expertise in carrier phase differential GNSS and LiDAR Simultaneous Localization and Mapping (SLAM)
• Experience with testing multi-sensor integration schemes for real-time navigation using model-based recursive estimators
• Experience with fusion of data from INS/GNSS/LiDAR and possibly radar, familiarity with Opti-Track motion capture system
• Experience with collecting and analyzing radio-frequency (RF) front-end wideband data
• Experience with navigation accuracy, integrity, continuity, and availability performance metrics and requirements in multiple modes of transportation
• Experience with the receiver autonomous integrity monitoring (RAIM) or fault detection methods
• Expertise with programming languages such as C/C++/Python or similar under Linux and ROS environments
• Experience with high-performance computing

About Virginia Tech:

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an dedicated to knowledge, discovery, and creativity.

The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight colleges, a graduate school, a veterinary medicine school, a college of law, and a college of medicine. The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous research and outreach centers.

A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Cory Thompson at < during regular business hours at least 10 business days prior to the event.