Vacancy expired!
Join our team and help us reimagine air traffic management for the 21st century. This position will equally split time supporting the following two research projects:
XTM Sub-Project: The NASA xTM Sub-Project will perform Unmanned Aircraft Systems (UAS) Traffic Management (UTM) research to enable Beyond Visual Line of Sight (BVLOS) operations and support the AAM stakeholder community. This includes research on safe and efficient UAS operations to support (e.g., urban drone delivery). The project is investigating strategic conflict resolution between reserved air corridors of different flight operators/vehicles, conformance of UAS to its designed flight volume and mitigation of ground risk due to potential failure.The successful candidate will be supporting the following implementation of UTM ground risk mitigation path planning capability:- Conduct research into strategic path planning of small drones such that they avoid critical areas on the ground in the event of a failure and un-intended crash or sudden descent
- The path planning service will provide multiple paths for a flight from a specified origin to destination with different ground risk measures and flight times, enabling a tradeoff between speedy service (e.g., shorter paths) and safer routes (e.g., longer paths that avoid critical areas on the ground)
- Support design of an optimization method to perform the tradeoff in a scalable, efficient manner with bounds computed on performance yielded by the algorithm
- Modern computationally efficient graph search methods such as A and RRT will be investigated and modified appropriately for the intended path planning service
- Conduct concept engineering and feasibility analysis on the application of advanced technologies to Traffic Flow Management (TFM)
- Build on the concept and prototype development already completed for Advanced Methods to propose capabilities to improve the FAA’s TFM system. The additional development should utilize leveraging FAA data sources along with candidate technologies to provide improvements to the system.
- Develop and test prototypes and additional capabilities to test advanced technologies
- Complete recommendations and lessons learned from development and prototyping activities
- Bachelor’s degree or higher in aerospace, electrical engineering, mechanical engineering, or computer science. Advanced degree preferred.
- Experience in machine learning (ML) and/or artificial intelligence (AI) data science technologies
- Experience with software development using Python, Java, JavaScript, C/C
- Possess analytical and problem-solving skills for the design, creation, and testing of custom software
- Experience working with aviation datasets, air traffic control, autonomous systems preferred
- Use of natural language processing tools/framework desirable
- Excellent organizational and communication skills
- US Citizen or permanent resident
- Familiarity with UAS technology
- Practical knowledge of agile software development methodologies (e.g., XP, scrum)
Vacancy expired!