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dynamic design and analysis of systems used in propulsion architectures. About the Role This is an exciting opportunity for you to contribute to research on a project supporting the move of aviation towards
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), through the development and application of a digitalized Health Management Architecture – Platform for aircraft (machine learning based algorithms could be employed to process the data provided by
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that new architectures feature closer integration of the propulsion system with the airframe. A key challenge for such configurations will be the more complex aerodynamic characteristics associated with
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architecture that will enable high-level interoperability. It consists of building competency questions, taxonomies, relationships, axioms, and the connection to upper levels of ontologies (i.e., BFO) using
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to generate series of databases of noise hemispheres for a range of rotor architectures as functions of design parameters and operating conditions. Latin Hypercube Sampling (LHS) or Full Factorial (FF) sampling