Working at MIT offers opportunities, an environment, a culture - and benefits - that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future - then take a look at this opportunity.
RESEARCH ENGINEER , Aeronautics and Astronautics-Gas Turbine Laboratory (GTL) , to join a lab advancing the state-of-the-art in aerospace power and propulsion by creating impactful solutions important to society, with emphasis on innovative, novel, and transformative approaches. The laboratory maintains strong ties with industry, government agencies, and other academic institutions engaged in theoretical and experimental research. Will collaborate with MIT faculty/postdoctoral researchers/students and external collaborators from industry/government laboratories/other universities. Responsibilities include developing a capability to experimentally assess megawatt-class electrical machines for turboelectric propulsion applications; developing a forced-response system identification capability of fan flutter, compressor instabilities, and vibrations rotor dynamic behavior in a full-scale turbofan test engine; assisting faculty and students in design, setup, instrumentation, and installation of experiments; assisting students with problem-solving and project design; presenting research at conferences and review meetings; and helping to write funding proposals.
Job Requirements REQUIRED : Ph.D. in a field related to air-breathing propulsion and turbomachinery focused on experimental assessment of internal flows in fluid machinery and at least a postdoctoral year in the field; three years' further related experience, especially design and development of turbomachinery experiments; project management experience; expertise with turbomachinery and propulsion (supported by publications); solid knowledge of gas turbine operation, experimentation, instrumentation, and measurement; strong conceptual grasp of aerodynamics, fluid mechanics, thermodynamics, controls and dynamics, and numerical simulations; track record of scholarly innovation in areas of expertise; ability to develop and implement plans for modeling and numerical (CFD) assessment of turbomachinery; excellent project management, organizational, collaboration, and oral and written technical communication skills; Python and MATLAB programming skills; and discretion with confidential information/issues. PREFERRED : experience with forced-response system identification of fluid machinery. Job #18727
Internal Number: 18728
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