PhD Position in ML in the MSCA Doctoral Network ASSESS – at University of Warsaw, Poland
Offer DescriptionThe objective of this DC is to develop and validate ML data-driven, random-vibration-based methodologies for robust and scalable SHM of advanced CFRP structures. This approach will take into account material uncertainties resulting from internal inhomogeneities, manufacturing defects, and variable EOCs.A key innovation will be the integration of conductive polymer nanocomposite-based sensors-such as CNT- or graphene-filled thermoplastics-which can be directly embedded or surface-mounted on composite components. These flexible and adaptable sensors offer high sensitivity to deformation and compatibility with composite materials, enabling real-time monitoring of dynamic responses.The proposed SHM methods will adopt novel concepts such as OMMRs and Functional Pooling, taking advantage of a unique MIMO transmission-type stochastic modeling framework. Sensor inputs will be obtained from both conventional piezoelectric transducers (PZTs) and polymer nanocomposite-based sensors, enabling hybrid, multi-modal data acquisition. The Horizon Europe MARIE SKŁODOWSKA-CURIE ACTION Doctoral Network (DN) ASSESS (Automated online monitoring of Smart compoSitE StructureS) offers 12 exciting PhD positions to develop next-generation smart composites for strategic European industries such as aviation, space, and wind energy.Composite materials with embedded sensors and nanomaterials hold the potential for real-time structural health monitoring. However, industrial adoption is hindered by challenges in sensor integration, automated data analysis, standardization, and operator training. ASSESS bridges the gap between research and industry by advancing the design, manufacturing, and testing of Fibre Reinforced Polymer (FRP) composites.As part of a multidisciplinary consortium of 9 beneficiaries and 13 Associated Partners, you will engage in pioneering research on:Smart composites and cutting-edge sensing technologies
Advanced simulations and AI-driven data analysis
Digital twins and Industry 4.0 innovationsThrough collaborative projects, international secondments, and specialized training, you’ll contribute to safer, lighter, and more efficient composite components, reducing CO₂ emissions, enhancing wind energy production, and supporting Europe’s green transition.Where to apply WebsiteRequirementsResearch Field Engineering » Mechanical engineering Education Level Master Degree or equivalentSkills/QualificationsRequired Skills:
Optional Skills:
Specific RequirementsEligibility Criteria
Languages ENGLISH Level ExcellentResearch Field Engineering » Mechanical engineeringAdditional InformationBenefitsSalary: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 the following*:Monthly living allowance: €3,400/month, adjusted by applying the country correction coefficient for the country of recruitment (Greece). The coefficients are outlined in Table 1 of MSCA Work Programme 2023-24 version adopted on 6 December 2022 (European Commission Decision C(2022) 7550 ( )
Monthly mobility allowance: €600/month.
Monthly family allowance (if applicable, depending on family situation): €660/month.*The living allowance above represents the total EU contribution to the researcher’s salary costs. The estimated gross salary is approximately €2,774.40 per month (only considering the living allowance), inclusive of both employee and employer tax contributions. The net salary will be calculated by deducting these contributions and any other applicable national taxes (e.g., income tax) from the gross amount.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, a range of advanced training courses (including transferable skills development), and active engagement in workshops and international conferences, providing a well-rounded and enriching research experience. Expected Start Date: Q2 2025Eligibility criteria
Selection processAre you interested in this vacancy? Please apply no later than 4 June 2025 via the indicate website (application button) and upload the following documents:
Selection Criteria: Candidates will be evaluated based on their academic background, research experience, and alignment with the project’s objectives. The selection process will be open, transparent, merit-based, impartial, and equitable.Interview: Shortlisted candidates will be invited for a structured interview with predefined questions and a scoring system.You can address your application to Prof Anna Boczkowska.Additional commentsASSESS Project Description:The Horizon Europe MARIE SKŁODOWSKA-CURIE ACTION Doctoral Network (DN) ASSESS (Automated online monitoring of Smart compoSitE StructureS – Grant Agreement Number 101168031) offers 12 exciting PhD positions to develop next-generation smart composites for strategic European industries such as aviation, space, and wind energy.Composite materials with embedded sensors and nanomaterials hold the potential for real-time structural health monitoring. However, industrial adoption is hindered by challenges in sensor integration, automated data analysis, standardization, and operator training. ASSESS bridges the gap between research and industry by advancing the design, manufacturing, and testing of Fibre Reinforced Polymer (FRP) composites.As part of a multidisciplinary consortium of 9 beneficiaries and 13 Associated Partners, you will engage in pioneering research on:
Through collaborative projects, international secondments, and specialized training, you’ll contribute to safer, lighter, and more efficient composite components, reducing CO₂ emissions, enhancing wind energy production, and supporting Europe’s green transition.Please note:
Additional information
. Website for additional job detailsWork Location(s)Number of offers available 1 Company/Institute Warsaw University of Technology Country Poland City Warsaw Postal Code 02-507 Street Wołoska GeofieldContact CityWarsaw WebsiteStreetWołoska 141 Postal Code02-507 E-Mailanna.boczkowska@pw.edu.plSTATUS: EXPIREDShare this page
Warszawa, mazowieckie
Fri, 23 May 2025 00:34:32 GMT
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