ORGANISATION/COMPANYGuided Waves for Structural Health Monitoring (GW4SHM) H2020-MSCA-ITN-2019-860104
RESEARCH FIELDEngineering › Aerospace engineeringEngineering › Electrical engineeringEngineering › Mechanical engineeringMathematics › Applied mathematicsPhysics › AcousticsPhysics › Applied physics
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE31/03/2020 12:00 - Europe/Brussels
LOCATIONMultiple locations, see work locations below.
TYPE OF CONTRACTTemporary
HOURS PER WEEK40
EU RESEARCH FRAMEWORK PROGRAMMEH2020 / Marie Skłodowska-Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER860104
We are pleased to announce 15 positions for Early-Stage Researchers (ESRs) within the Guided Waves for Structural Health Monitoring (GW4SHM) project funded by the Marie Skłodowska-Curie Actions Innovative Training Network (H2020-MSCA-ITN-2019-860104). The offered positions are available with a starting date in the period from May 1st, 2020 – January 1st, 2021 for a maximum duration of 3 years. The ESRs will acquire multidisciplinary scientific expertise, complementary skills, and experience working in both academia and industry. The GW4SHM consortium consists of 12 beneficiaries and 10 partner organisations involving universities, research organisations, government agencies and industries from 8 European Countries: Estonia, France, Germany, Italy, Lithuania, the Netherlands, Portugal and the United Kingdom. The consortium, coordinated by Dr. Jens Prager from the Federal Institute for Materials Research and Testing (Bundesanstalt für Materialforschung und -prüfung), Berlin, Germany, will perform cutting edge research and training in the field of Structural Health Monitoring (SHM) focusing on aeronautics, petrochemistry and the automotive sector.
SHM is essential to guarantee the safe and reliable operation of technical appliances and will be a key enabler to exploit emerging technologies such as remaining useful lifetime prognosis, condition-based maintenance, and digital twins. Particularly, SHM using ultrasonic guided waves is a promising approach for monitoring chemical plants, pipelines, transport systems and aeronautical structures. While substantial progress has been made in the development of SHM technology, current techniques are often realised only at lab-scale. Missing quantification of reliability hinders their practical application. The substantial effort for signal processing and of permanent transducer integration as well as the lack of efficient simulation tools to improve understanding of guided wave-structure interaction and to predict the capabilities of the system limit their widespread use. The aim of this project is to combine efficient simulation and signal processing tools for SHM for the first time and to assess the reliability of the monitoring systems. We will develop SHM concept to assess the integrity of structures and create ready-to-use tools for industry and other SHM users.
- 3-year full-time employment contract (salary depends on the country of the recruitment considering both the local and EU regulations)
- Secondments at other labs within the GW4SHM Consortium
- Enrolment in a local PhD school
- Participation in the network-wide training activities, national and international conferences
- having a master’s degree or its equivalent
- having not more than 4 years of equivalent research experience, i.e. working as a researcher after obtaining your master’s degree
- having not been awarded a PhD title
- having not resided or carried out her/his main activity in the country to be recruited in for more than 12 months in the last 3 years
- high level of proficiency in English (B2 or higher on the CEFR scale)
- ESR1 Model-assisted Design of Guided Wave-based Structural Health Monitoring Systems. Host: Fraunhofer IKTS, Dresden, Germany
- ESR2 Digital Twin in Structural Health Monitoring for Aerospace using Machine Learning. Host: CEA-List, Paris-Saclay, France
- ESR3 Modelling and Data Assimilation for Pre-stresses Recovery in the Context of Structural Health Monitoring. Host: CEA-List, Paris-Saclay, France
- ESR4 Estimating the Reliability of Guided Wave SHM Systems through Modelling. Host: Imperial College London, London, UK
- ESR5 Integrated Modelling of Guided Waves Reflection from Defects in Pipes. Host: Imperial College London, London, UK
- ESR6 Ice-sensing and Ice-characterisation with Ultrasonic Guided Waves. Host: Goethe University Frankfurt, Frankfurt am Main, Germany
- ESR7 Reliability Assessment for Guided Wave-based Monitoring of Pipeline Systems. Host: Bochum University of Applied Sciences, Bochum, Germany
- ESR8 Multi-mode Guided Wave Tomography for Metallic and Composite Materials. Host: TNO, Hague, the Netherlands
- ESR9 Efficient and Reliable Modelling of Guided Wave Propagation and Mode-defect-interaction in Anisotropic Materials. Host: Federal Institute for Materials Research and Testing (BAM), Berlin, Germany
- ESR10 Structural Health Monitoring using multi-modal Guided Waves for Composite Overwrapped Pressure Vessels. Host: Federal Institute for Materials Research and Testing (BAM), Berlin, Germany
- ESR11 Developing Guided Wave Tomography for Anisotropic Waveguides. Host: Tallinn University of Technology, Tallinn, Estonia
- ESR12 Development of a Robust Signal Processing Approach for the Post-Processing of Guided Wave Signals for NDT and SHM of Composite Structures. Host: Kaunas University of Technology, Kaunas, Lithuania
- ESR13 Enhancing the Remaining Useful Life of Aeronautic Composite Structure based on Structural Health Monitoring Concept. Host: Safran Tech, Paris-Saclay, France
- ESR14 Transducers and Sensor-near Signal Processing for Structural Health Monitoring of Composite Structures. Host: University of Bologna, Bologna, Italy
- ESR15 Damage Imaging in Guided Wave-based Inspection of Adhesive Joints. Host: Institute of Telecommunications, Lisbon, Portugal
EURAXESS offer ID: 491142
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