The Structural & Thermal-Fluids Engineering Group provides innovative multidisciplinary engineering solutions for underwater, ground, air, and space-based prototype systems for national security applications. Examples include the development of structural-material systems for space-based imaging and laser communication terminals, thermal management solutions spanning cryogenic to hypersonic applications, and aerodynamic designs and assessments to support unmanned aerial vehicles, airborne pods, and hypersonic platforms. Engineering solutions are developed through the utilization of appropriate technologies coupled with high-fidelity models and multidisciplinary simulations, environmental testing, and the utilization of advanced materials to meet ever increasing performance, size, weight, and environmental challenges.

Position Description

Group 74 is seeking engineers with a combination of artificial intelligence / machine learning (AI/ML) algorithm development and engineering modeling expertise, e.g., fluid, structural, or thermal modeling.



Our engineers support a broad range of simulation, design, optimization, and test activities, and we develop innovative simulation capabilities to solve challenging engineering design problems across a broad array of applications ranging from low-speed aircraft to hypersonic systems and satellite design. The Group employs machine learning methods within its modeling suite to achieve significant improvements in physics-based simulation, such as for aerodynamic analysis, to accelerate conceptual design. We seek engineers who are excited to contribute to these efforts by enhancing existing methods and implementing new cutting-edge AI/ML techniques to enable rapid and accurate concept design for a diverse set of complex and multidisciplinary problems. This position offers opportunities to contribute to cutting-edge research, collaborate with leading experts, and develop innovative solutions to complex engineering challenges.

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📌 AI/ML Engineer for Multidisciplinary Engineering Design-Associate Staff (Italia)
🏢 Mit Lincoln Laboratory
📍 Italia