Sr Eng, Research, Human Autonomy Teaming

Key Skills

Aartificial intelligence, C++, Machine learning techniques, MATLAB Programming, Python Programming

Job Description

This is a technology focused role to shape the future of aerospace and defense technologies from concept definition through to demonstration. The successful candidate will play a crucial role in building and expanding our research dedicated to human-machine teaming with autonomous agents in the Air Traffic Management context. This position offers a unique opportunity to work on cutting-edge research and development projects that will shape the future of aerospace and airspace management.

Primary Responsibilities

• Lead the design, setup, and expansion of Human Machine Teaming research utilizing the Autonomous Systems experimentation environment.
• Develop and implement or apply advanced human-machine teaming algorithms and models for integration with autonomous aircraft, drones, and airspace management systems.
• Collaborate with cross-functional teams to define experiment-oriented research objectives, develop project plans, and execute experimental protocols.
• Design and implement situational awareness and cognitive workload test methods.
• Conduct experimental studies to evaluate human-machine interaction and team performance ensuring robustness, safety, and reliability.
• Analyze and interpret experimental data, and communicate findings through technical reports, presentations, and peer-reviewed publications.
• Stay up-to-date with the latest advancements in human-machine teaming, autonomous systems, and aerospace technology.
• Mentor and guide junior engineers and researchers, fostering a collaborative and innovative work environment.
• Engage with external partners, including government agencies, academic institutions, and industry stakeholders, to leverage resources and expertise.

Basic Qualifications

• Requires a PhD degree in a relevant field (e.g., Robotics, Computer Science, Cognitive Science, or Human Factors), or a similarly relevant Master's degree with 2-4 years of industry experience.
• Strong background in aircraft or ATC system simulations/simulators.
• General proficiency with simulation tools and frameworks (e.g., X-Plane, Microsoft Flight Simulator, ROS/2, Unity/Unreal, etc.)
• Strong programming skills in languages such as Python, C++, or MATLAB.
• Excellent problem-solving skills and the ability to work independently and as part of a team.
• Motivated self-starter with a strong enthusiasm to grow technologies, and business value propositions.

Preferred Qualifications may include

Experience with any of the following

• Artificial intelligence (e.g., automated reasoning, machine learning)
• Simulation tools and platforms for human performance modelling and analysis.
• Background with neurophysiological sensors and human performance assessments (e.g., situational awareness and cognitive workload test methods).
• Brain Computer Interfacing through non-invasive methods.
• Familiarity with industry standards and initiatives related to human-machine teaming.
• Ability to champion and challenge the technical status quo.