Phd Position Shm In The Msca Doctoral Network Assess - At Politecnico Di Torino, Italy Torino

Phd Position Shm In The Msca Doctoral Network Assess - At Politecnico Di Torino, Italy
Torino
Piemonte, Torino

PhD Vacancy for a Doctoral Candidate (DC6) in Advanced numerical simulations for SHM of smart FRP composites in the MSCA Doctoral Network ASSESS - at Politecnico di Torino, Italy This position involves research into advanced numerical modeling techniques for the mechanical analysis of fiber-reinforced polymer (FRP) composite laminates and smart structures. The successful candidate will focus on developing and implementing efficient multi-scale numerical simulations based on the Carrera Unified Formulation (CUF) within the finite element method (FEM). These simulations aim to analyze the interaction between surface-mounted and embedded piezoelectric (PZT) actuators and sensors with FRP structures. The research will include the development of innovative coupled numerical techniques to model guided wave (GW) propagation and structural vibrations in both pristine and damaged configurations of sandwich panels and wind turbine blades. CUF-based FEM models, enhanced by artificial intelligence (AI), will be applied to investigate damage and failure mechanisms in honeycomb structures. This work will contribute to establishing methodologies for accurate Remaining Useful Life (RUL) estimation and defect prognosis in composite structures. The project's expected results include advanced models for the mechanical behavior of sandwich panels and wind turbine blades, effective coupled solutions for integrating PZT sensors into smart composite structures, efficient methodologies for characterizing vibration properties and GW propagation in FRP composites, and accurate modeling frameworks for failure analysis supporting RUL estimation. This research will address both theoretical and practical challenges in structural analysis and health monitoring of advanced composite materials, contributing to the design and maintenance of more reliable and efficient structural systems. This PhD is part of the ASSESS project. Key Responsibilities: Conduct research as outlined in the project's objectives under the supervision of Professors Filippi (PoliTo), Pagani (Polito) and Chronopoulos (KU Leuven). Engage in secondments as part of the project's training activities with KU Leuven, Siemens, and Ramboll. Contribute to academic publications, project reports, and other dissemination activities. Participate in structured training programs and network-wide events organized by the consortium. Collaborate with international partners and other Doctoral Candidates within the network. Requirements Eligibility Criteria M. Sc. Degree (i. e. 2° level title, as defined by the Bologna Process), issued by an officially recognized academic institution, which grants admission in PhD programmes in the country of issuance. Official Transcript of Records Master's degree OR official university document stating provisional date of graduation (if not graduated yet) Please note: The documents shall be issued by the relevant university. Documents issued in Italian, English, French, Spanish are accepted. If the documents are written in other languages, please upload both the original version AND the official translation in Italian or English and attach the merged document. Academic qualifications are accepted to take part in the selection process with the minimum average grade illustrated in Annex 3 of the Call for admission. The original diplomas and transcripts should be available by 31st October at the latest (or before enrollment to PoliTO). One of the following certificates of English language knowledge, regardless of the date of obtainment: IELTS: minimum score 5. 5; One of the language certificates accepted in substitution for IELTS 5. 5 by Politecnico di Torino. Required Skills: Good knowledge of computational mechanics; Proficiency with commercial software and tools for structural analyses; Coding skills (even preliminary) in Fortran, Matlab, Python; Academic writing; The ability to work both independently and as part of a team. Optional Skills: Knowledge of numerical and analytical models for wave propagation problems; High level of proficiency in English (will be tested at interview). Conditions of Employment The successful candidate will receive a competitive and attractive academic remuneration package in accordance with MSCA regulations for doctoral candidates. The researcher will be employed under a contract that includes social security coverage and pension rights. The financial package includes: Monthly living allowance: €3, 400/month, adjusted by applying the country correction coefficient for Italy. Monthly mobility allowance: €600/month. Monthly family allowance (if applicable): €660/month. Other Benefits: The doctoral candidate will also benefit from comprehensive training within the ASSESS network, including participation in at least six specialized Training Events organized by the MSCA-ASSESS network. Additional opportunities include secondments to partner laboratories, advanced training courses, and active engagement in workshops and international conferences, providing a well-rounded and enriching research experience. Application Procedure Are you interested in this vacancy? Please apply no later than 28 February 2025. Detailed CV, including information on the candidate's proficiency in English Motivational letter (1 page), describing why the position fits the applicant Contact information of 2 references Copy of Master's degree diploma Copies of any other relevant certifications listed within CV Selection Criteria: Candidates will be evaluated based on their academic background, research experience, and alignment with the project's objectives. Interview: Shortlisted candidates will be invited for a structured interview with predefined questions and a scoring system. Note: Candidates selected for the Interview will need to upload the missing documentation (see Eligibility Criteria) on the Polito website, Applypolito. J-18808-Ljbffr