We are looking for applicants with an interest and background in algorithm development, applied engineering, prototype development and testing, and modeling and simulation to support the development and implementation of safety critical systems that will enable the integration of increasingly autonomous systems into the transportation system. The candidate will develop and integrate machine learning algorithms to aid human operators in decision making or to fully automate safety critical systems in the transportation system. The candidate will work as part of a multidisciplinary hardware, software, and analysis team under the mentorship of a senior technical lead. Example problem areas include algorithm development and analysis for surveillance, tracking, and collision avoidance, and novel comprehensive system performance evaluation for vehicle separation and collision avoidance applications. Additionally, we are looking for applicants to develop new advanced decision support systems across the transportation domain. Activities will include algorithm development and assessment, modeling simulation, and data analysis. Successful candidates will develop the skills to analyze the operational problems in detail and to develop deployable solutions. Additional responsibilities may include participation in test planning and flight test operations, as well as analysis and presentation of data collected during field tests. The Surveillance Systems Group supports a hybrid work environment.

• Master's degree in engineering, physics, Mathematics, or computer science OR a Bachelor's degree in these fields, with three years of directly related experience.
• Familiarity with machine learning, artificial intelligence, computer vision, and/or formal methods for planning
• Experience and knowledge to develop, implement, test and evaluate novel academic and industry concepts.
• Proficient at high-level prototyping software languages (e.g., Matlab, Python, Julia).
• Ability to work in a team environment.
• Strong analytical and critical thinking skills and ability to clearly communicate with a wide spectrum of audiences.

Desired qualifications:

• Experience developing algorithms and mathematical models in a simulation and test environment.
• Experience with probabilistic risk analysis and validation of learning based agents.
• Familiarity with Transformers, RCNN, YOLO, GANs, Random Forests, and DNN.
• Experience in other programming languages, such as C and Rust.
• Understanding of and experience with software development processes, including source control and source peer review
• Knowledge of the air, surface, or maritime transportation domain.