Research Scientist in AIML for Dynamics and Control (Hybrid)

Date Posted:

Country:

United States of America

Location:

US-CT-EAST HARTFORD-RTRC L 411 Silver Ln RTRC L

Position Role Type:

Hybrid

U.S. Citizen U.S. Person or Immigration Status Requirements:

U.S. citizenship is required as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX the worlds largest aerospace and defense company 185000 great minds are united by purpose and inspired to make a difference solving the worlds most complex problems. With our three market leading businesses world-class operations and investments in research and development we offer capabilities and opportunity no one else can. Together we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

The Dynamics Control and Autonomy Team part of the Intelligent & Cyber-Physical Systems Department at RTX Technology Research Center (RTRC) is looking for a highly motivated individual for the position of research engineer specialized in Learning for Dynamics and Control.

RTRC serves as the innovation hub for RTX. We conduct basic and applied research in a stimulating multi-disciplinary environment where scientists engineers practitioners and subject matter experts collaborate and exchange experience. We transform that research into the solutions and products that help our businesses shape the future. We are:

• Empowering innovation among the companys businesses.

• Solving customers critical problems.

• Developing breakthroughs for a safer more connected world.

• Working with major universities and national laboratories on groundbreaking research.

The Dynamics Controls and Autonomy team supports dynamical system analysis and modeling control system analysis and design and autonomous systems research for all RTX business units including both development of novel solutions for future products and solving the toughest problems with current parallel we are working with government customers on more broadly applicable technology.

What You Will Do

• Design and develop novel control solutions for aerospace and defense applications including but not limited to jet engines missiles autonomous vehicles and systems avionics aircraft power systems and air management hypersonic vehicles advanced manufacturing and space systems;

• Work in a multidisciplinary setting bringing system-level perspective to new cutting-edge technologies from multiple fields (autonomy power systems cyber security mechanical systems aerodynamics thermal management)

• Lead and support externally and internally sponsored programs write external and internal research proposals;

• Disseminate research results through reports conference proceedings and peer-reviewed articles and developing intellectual property.

What You Will Learn

• How to transition novel concepts from early technology stages to a state that impacts and influences our products which in turn have global impact on society

• How to build relationships both within our company and externally with industry academia and government agencies for long-term impact

Qualifications You Must Have

• Ph.D. in Mathematics Physics Computer Science or Engineering.

• Strong fundamentals in control:

  • standard multivariable control and estimation techniques (e.g. LQR/LQG Kalman filters optimization-based control including Model Predictive Control) from formulating the problem to implementation in software

• Experience with machine learning for control including

  • Reinforcement Learning (RL) for safety-critical systems (e.g. model-based RL Sim2Real transfer learning or safety guarantees using Control Barrier Functions)

  • Verification & Validation of AI/ML control laws

  • Neural-network representations of controllers and estimators (e.g. Physics-Informed Neural Networks for MPC or Neural Network based MPC)

• Control-oriented modeling of physical systems both from first principles and data-driven (including learning-based methods such as Physics-Informed Neural Networks)

• Proficiency in MATLAB/Simulink Python Pytorch or TensorFlow

Qualifications We Prefer

• Master degree in Mathematics Physics Computer Science or Engineering with minimum 5 years of full-time industrial experience .

• Novel approaches for safety including Control Barrier Functions (CBF)

• Hardware-in-the-Loop validation and real-time/embedded implementation of control laws

  • experience with Speedgoat dSPACE or LabView/NIDAQ

  • FPGA programming

  • C/C programming

• Experience with multi-agent collaborative autonomy including

  • Multi-agent autonomous behaviors

  • Decentralized mission planning and execution

• Hands-on experience with implementation of autonomy algorithms in high-fidelity simulations and/or hardware platforms:

  • PX4 or ArduPilot autopilots and software-in-the-loop simulations

  • Robot Operating System (ROS ROS2) and Gazebo simulation

  • Open-source planning and perception software packages

  • Commercial UAV and UGV platforms

• Experience with one or more of the following technical areas:

  • Neural and symbolic AI approaches for course of action development

  • Resilient contingency management for multi-agent autonomous systems

  • Human-robot teaming

• Application experience in one or more of the following:

  • Manufacturing and inspection operations

  • autonomous systems including assurance for autonomy

  • safety and certification in aerospace

  • gas turbine engine modeling and control;

  • Guidance Navigation and Control (aircraft spacecraft or missiles)

  • hypersonic propulsion;

  • electric or hybrid-electric propulsion for aircraft;

  • control co-design

• Experience with Large Language Models and agentic control

• Experience with writing proposals for government-funded research record of grants

• a record of innovation as evidenced by patent applications a track record of writing proposals for government funded research programs and/or high-quality journal and conference publications.

• Active Security Clearance

Additional Skills and Abilities

• Strong analytical problem-solving and interpersonal skills with track record of teamwork adaptability innovation and initiative

• Clear and effective communication with all levels of management business development researchers and customers

• Ability to focus on results in a fast-paced dynamic team environment

• Ability to work independently with limited direction and in multidisciplinary environment to accomplish project goals

• The preferred candidate will look at open-ended tough problems as an opportunity to innovate and develop novel solutions

Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:

Hybrid: Employees who are working in Hybrid roles will work regularly both onsite and offsite. Ratio of time working onsite will be determined in partnership with your leader.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles commuting to and from the assigned site is the employees personal responsibility.

As part of our commitment to maintaining a secure hiring process candidates may be asked to attendselect steps of the interview process in-person at one of our office locations regardless of whether the role is designated as on-site hybrid or remote.

The salary range for this role is 86800 USD - 165200 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer including but not limited to the role function and associated responsibilities a candidates work experience location education/training and key skills.

Hired applicants may be eligible for benefits including but not limited to medical dental vision life insurance short-term disability long-term disability 401(k) match flexible spending accounts flexible work schedules employee assistance program Employee Scholar Program parental leave paid time off and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including but not limited to individual performance business unit performance and/or the companys performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.

RTX is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity national origin age disability or veteran status or any other applicable state or federal protected class. RTX provides affirmative action in employment for qualified Individuals with a Disability and Protected Veterans in compliance with Section 503 of the Rehabilitation Act and the Vietnam Era Veterans Readjustment Assistance Act.

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