Sr Eng, Research, Human Autonomy Teaming

Job title:

Sr Eng, Research, Human Autonomy Teaming

Company

Raytheon Technologies

Job description

Date Posted: 2024-06-17Country: IrelandLocation: LOC9008: Collins Aerospace Ireland limited, 4th Floor, Penrose Business Center, Penrose Wharf, Cork – IrelandPosition Role Type: UnspecifiedLooking for the right runway for your career to take flight? Consider joining us here at Collins Aerospace, where we’re working side-by-side with customers on exciting industry possibilities. With a comprehensive portfolio, extensive capabilities and broad expertise, we’re crafting intelligent solutions to meet the demands of a rapidly evolving global market – all representing the best in innovation and technology for the industries we serve across commercial, business, space, and military and defense aviation.With 68,000 employees across 46 countries around the world, we offer an extensive flight list of opportunities to explore the depth of our organization. We offer flexible work options to meet your needs by offering on-site, hybrid and remote roles. Join us and help build a more advanced, more autonomous, more connected, more electric and more sustainable future!Are you interested in the cutting edge of Humans and Autonomous Systems? Are you passionate about applied research, technology, and rapid prototyping? Well, you may be interested in this position! At Collins Aerospace , our is redefining autonomy, automation and robotics in a completely new and brilliant way! We are looking for a passionate candidate with a curious mind, interested in joining our Advanced Human Machine Teaming group in the Autonomous Systems discipline team.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.

RTX is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.Privacy Policy and Terms:Click on this to read the Policy and Terms

Expected salary

Location

Cork – Penrose, Cornwall

Job date

Sun, 23 Jun 2024 01:36:40 GMT

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