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Heat Transfer and Thermodynamic Systems Researcher

Job in East Hartford, Hartford County, Connecticut, 06118, USA
Listing for: Socket.dev
Full Time position
Listed on 2026-09-20
Job specializations:
  • Engineering
    Research Scientist, Mechanical Engineer, Aerospace / Aviation / Avionics
  • Research/Development
    Research Scientist
Salary/Wage Range or Industry Benchmark: 86800 - 165200 USD Yearly USD 86800.00 165200.00 YEAR
Job Description & How to Apply Below

Date Posted:

Country: United States of America

Location: US-CT-EAST HARTFORD-RTRC K ~ 411 Silver Ln ~ RTRC K

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 world's largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s 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.

What You Will Do

Raytheon Technologies Research Center (RTRC) develops breakthrough technologies that power the world’s most advanced aerospace and defense products. As a Senior Research Engineer on our Heat Transfer or Thermodynamic Systems Team, you will lead advanced modeling, simulation, and system‑level analysis across a wide range of thermofluid and thermal‑management challenges. Your work will span multi‑physics, multi‑phase, and interfacial phenomena in complex geometries, supporting programs from microelectronics thermal management to next‑generation propulsion systems.

Key responsibilities include:

  • Perform high‑fidelity and reduced‑order computational modeling of single‑ and two‑phase flows, including interfacial physics, phase change, and transient behavior
  • Develop and integrate multi‑physics simulations coupling thermal, fluid, structural, and thermomechanical responses
  • Create advanced computational cooling strategies for high‑heat‑flux electronics using microchannels, jet impingement, passive spreaders, heterogeneous integration, and phase‑change materials
  • Conduct design‑space exploration using machine learning, AI‑assisted modeling, uncertainty quantification, and other advanced optimization techniques
  • Perform parametric and topology optimization of thermal components such as heat sinks, cold plates, heat exchangers, and integrated flow channels
  • Model novel systems for next‑generation engines, space propulsion, undersea propulsion, waste‑heat recovery, power generation, and cryogenic cooling
  • Predict device reliability using thermomechanical modeling
  • Support (as a secondary responsibility) experimental efforts such as thermal testing, two‑phase flow loops, additively manufactured coupon evaluation, interface characterization, and system demonstrations
What You Will Learn

In this role, you will gain exposure to a broad set of cutting‑edge technologies and research practices across RTX. You will learn how to apply advanced computational approaches—multi‑physics modeling, machine learning, complex optimization—to real system‑level challenges. You will collaborate with experts in propulsion, microelectronics, power electronics, radar, avionics, sensors, and space systems, and you will gain experience shaping early‑stage research programs and contributing to externally funded initiatives.

Qualifications

You Must Have
  • Minimum a Master’s degree Mechanical, Aerospace, Chemical, or Nuclear Engineering and minimum 3 years experience
  • or Ph.D. in Mechanical, Aerospace, Chemical, or Nuclear Engineering and no formal experience
  • Minimum 1 year research experience in Heat Transfer or Thermodynamics
Qualifications We Prefer
  • Strong analytical modeling and programming skills
  • General understanding of FEA and CFD methods
  • Demonstrated experience publishing or presenting technical research
  • Exceptional computational modeling…
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