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Chiara Manfletti

Prof. Dr.-Ing. at Technical University of Munich

Technical University of Munich

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Germany

Has open position

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Research Interests

Aerospace Engineering

10%

Fluid Mechanics

10%

Python Programming

10%

Mechanical Engineering

10%

Embedded System

10%

Rocket Propulsion

10%

Machine Learning

10%

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Positions1

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Chiara Manfletti

University Name
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Technical University of Munich

PhD Position in Fault Detection and Isolation for Rocket Propulsion Systems – Chair of Space Mobility and Propulsion, Technical University of Munich

The Chair of Space Mobility and Propulsion at the Technical University of Munich (TUM) is offering a fully funded PhD position focused on Fault Detection and Isolation (FDI) for rocket propulsion systems. The research is embedded within the REACT project, a 3-year Horizon-Europe funded collaboration aimed at developing autonomous fault management solutions for reentry capsule propulsion systems. The successful candidate will join a dynamic team working on ASCENT, a vertical takeoff and landing (VTVL) hopper with a bi-liquid propulsion system, and collaborate with industry partners Orbital Paradigm and Klepsydra Technologies. Key responsibilities include analyzing failure modes for rocket propulsion systems, contributing to the definition of FDI system specifications, developing and evaluating model-based and machine learning-based FDI algorithms, and validating these algorithms experimentally on the ASCENT propulsion test bench. The role involves close interaction with functional engineers from partner organizations, collaborative project management, and contributions to technical, administrative, and financial reporting. The candidate will also lead hardware-in-the-loop test campaigns and participate in the design, commissioning, and operation of the ASCENT system. Applicants should hold a Master of Science or Engineering degree with excellent results in Aerospace Engineering, Control Engineering, or a related field. Strong fundamentals in thermodynamics and fluid dynamics, experience in coding (especially Python), and proficiency in modelling and simulation based on ODEs are required. Experience in conducting experiments, control engineering, and machine learning is advantageous. The position requires high motivation, independence, strong collaboration skills, excellent English communication, analytical and problem-solving abilities, and organizational proficiency. The PhD position offers a full-time contract (100% / 40h, pay grade E13, TV-L) for three years, with the goal of obtaining a Dr.-Ing. degree. Benefits include flexible home office solutions, 30 days of paid holidays, opportunities to publish in top-tier journals and conferences, and the chance to contribute to cutting-edge research in space mobility. TUM values diversity, equity, and inclusion, and encourages applications from underrepresented groups and individuals with disabilities. The position is suitable for disabled persons, who will be given preference in case of equivalent suitability. To apply, candidates should send their application (CV, motivation letter, transcripts, and supporting documents) via email to [email protected] (preferably as a single PDF). The vacancy will remain open until filled, with an expected start date in July 2026. Applicants are advised to review the TUM privacy policy regarding personal data processing before submission. For further information, visit the Chair of Space Mobility and Propulsion website at https://www.asg.ed.tum.de/spm/startseite/ or access the application portal directly at https://portal.mytum.de/jobs/wissenschaftler/NewsArticle_20260423_090526 .