Description de l'offre
Description de la mission
PhD Subject Description
- •Context of the PhD Position:
The proposed PhD position falls within the project Guided Wave for Structural Health Monitoring (GW4SHM), which is a part of the call Marie Skłodowska-Curie Innovative Training Networks (H2020-MSCA-ITN-2019). The aim of this project is to develop and combine efficient technological SHM bricks: simulation, sensing, signal processing and statistics/machine learning tools to assess and prognosis the health of structural systems. The project brings together partners from academia, industry and will train a new generation of researchers skilled in all aspects of SHM, enabling them to transform SHM research into practical applications, with focus on aeronautic, oil & gas and automotive industries. The outcome of the project will pave the way for integrating SHM into real-world engineering structures. The PhD students will acquire multidisciplinary scientific expertise, complementary skills, and experience working in academia and industry.
Aeronautic composite structures are required to be lifecycle managed under the damage tolerant principle, while the airworthiness is maintained through the process of scheduled inspection, and if needed repair or replacement. In that sense, the scheduled inspection of a structural component is addressed by non-destructive inspection (NDI) techniques. However, this current practice can be cost consuming, which is mainly due to the high degree of human interaction, and the fact that the structural components, which are difficult to access have to be disassembled. To reduce the inspection cost, Structural Health Monitoring (SHM) concept has emerged in the aeronautic industry. The basic concept of SHM is to acquire and analyze data from on-board sensors to determine the health of a structure in the sense of: (i) diagnostic (detection, localization, damage size estimation) and (ii) prognostic.
The proposed PhD position will address the challenge of enhancing the Remaining Useful Life (RUL) based on SHM concept, with an application to composite structures subject to damage and its propagation due to operational/environmental conditions. The PhD student will focus on developing prognostic methods for efficient RUL estimation, with emphasis on guided wave sensing, advance signal processing, data mining/fusion and hybrid modeling.
Safran Tech will hire the PhD student under a limited-term contract. A major part of the work will based at Safran Sensing Department, while the other part will be at Delft University of Technology-Faculty of Aerospace Engineering-Department of Aerospace Materials and Structures.
Safran is an international high-technology group, operating in the aviation (propulsion, equipment and interiors), defense and space markets. Safran has a global presence, with more than 95,000 employees and sales of 21 billion euros in 2018. Working alone or in partnership, Safran holds worldwide and European leadership positions in its core markets. The group undertakes Research & Development programs to meet fast-changing market requirements, with total R&D expenditures of around 1.5 billion euros in 2018.
The faculty of Aerospace Engineering of Delft University of Technology is one of the world's largest faculties devoted entirely to aerospace engineering. It covers the whole spectrum of aerospace engineering subjects ranging from aerodynamics and flight propulsion to structures and materials and from control and simulation to air transport and operations. The faculty has around 2,700 BSc and MSc students, 225 PhD candidates and 27 professors supported by scientific staff.
You have a Master Degree in Mechatronics Engineering or equivalent experience, demonstrating a solid background in experimental testing, ultrasonic sensing, advanced signal processing, data-driven tools, model fusion approaches and multi-physics modeling.
- •Soft skills:
- -Strong motivation, scientific curiosity and proactive,
- -Flexibility/Mobility for working in France and spending 6 months in the Netherlands, openness, team spirit,
- -Strong ability to work autonomously.
- •Information and application
The application shall include a detailed CV, two references, copies of your degree and grades along with a letter of application. These documents should be compiled into a single pdf file and sent to:
Dr. Rafik HADJRIA. Email: Postuler maintenant >>
Spécificités du poste
This PhD Position is funded by the Marie Curie program of European Union through the innovative training network (ITN) GW4SHM on Guided Waves for Structural Health Monitoring.
Entité de rattachement
- •Job Location: Safran Group - Safran Tech - Paris Saclay: Safran Sensing System Research Department
- •Contact: Dr. Rafik HADJRIA. Email: Postuler maintenant >>
- •Doctoral School: Delft University of Technology-Faculty of Aerospace Engineering-Department of Aerospace Materials and Structures
Safran est un groupe international de haute technologie opérant dans les domaines de la propulsion et des équipements aéronautiques, de l'espace et de la défense. Implanté sur tous les continents, le Groupe emploie plus de 92 000 collaborateurs pour un chiffre d'affaires de 21 milliards d'euros en 2018. Safran occupe, seul ou en partenariat, des positions de premier plan mondial ou européen sur ses marchés. Pour répondre à l'évolution des marchés, le Groupe s'engage dans des programmes de recherche et développement qui ont représenté en 2018 des dépenses totales d'environ 1,5 milliard d'euros.
Safran est classé dans le Top 100 Global Innovators de Thomson Reuters ainsi que dans le palmarès « Happy at work » des sociétés où il fait bon vivre. Le Groupe est en 4ème position du classement Universum des entreprises préférées des jeunes ingénieurs en France.