Date Posted:
2024-09-05Country:
United States of AmericaLocation:
UT13: RC-CT - Corp 411 Silver Lane, East Hartford, CT, 06108 USAPosition Role Type:
UnspecifiedThe Dynamics, Control, and Autonomy Team, part of the Aerothermal and Intelligent Systems Department, at RTX Technologies Research Center (RTRC) is looking for a highly motivated individual for the position of research engineer specialized in Dynamics and Control for Power, Propulsion, and Thermal Management Systems.
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 company’s 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 products. In parallel, we are working with government customers on more broadly applicable technology.
What you will do:
We are looking for a highly motivated candidate eager to apply and extend the state of the art of modeling and control of Power, Propulsion and Thermal Management Systems (PPTMS). The candidate is expected to work on transitioning novel concepts from early technology stages to a state that impacts and influences businesses and applications. The responsibilities include:
Designing and developing novel control solutions for PPTMS systems in aerospace and defense applications including, but not limited to, jet engines, missiles, autonomous vehicles and systems, hypersonic vehicles, advanced manufacturing, and space systems; leading and supporting externally and internally sponsored programs, writing external and internal research proposals;
building relationships to support developing business relationships with industry, academia, and government agencies; disseminating research results through reports, conference proceedings, and peer-reviewed articles, and developing intellectual property.
The preferred candidate will have a strong understanding of science and engineering principles and 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. The candidate must be self-motivated, and must have excellent written/verbal communication and strong problem-solving skills. US Citizenship is required and active clearance is a plus.
Qualifications you must have:
Education: BS degree in Mathematics, Physics, Computer Science or Engineering with 5+ years of relevant experience.
Extensive experience in model-based control, including:
optimization-based control design, including Model Predictive Control, from formulating the problem to implementation in software
standard multivariable control techniques
estimation
Hardware-in-the-Loop validation and real-time/embedded implementation of control laws
Control-oriented modeling of physical systems, both from first principles and data-driven
Proficiency in MATLAB/Simulink
U.S. Person (U.S. citizen, permanent resident, refugee or asylee) or eligible to obtain necessary export authorizations required.
The candidate will have solid skills in a combination of the following areas:
Modern multivariable control and estimation
Model Predictive/Optimization based Control
Control-Oriented Modeling of physical systems, including PPTMS
Hybrid dynamical systems, discrete event systems
MATLAB/Simulink
Modelica/Dymola and Functional Mockup Interface (FMI)
Preferred Qualifications:
Experience with one or more of these is desirable:
Application experience in one or more of the following:
gas turbine engine modeling and control;
vehicle-level dynamics and controls integration;
hypersonic propulsion;
electric or hybrid-electric propulsion;
power systems
Experience with writing proposals for Gov’t funded research, record of grants
Real-time control prototyping and Software/Hardware-in-the-Loop testing (Speedgoat, dSPACE, LabView/NI DAQ)
Model-Based System Engineering (MBSE)
Control co-design, including nested optimization
Machine learning for control, including reinforcement learning
Experimental system identification
US Security Clearance or willingness to obtain and maintain one is preferred for this position.
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.
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