RESEARCH FIELDEngineering › Mechanical engineering
RESEARCHER PROFILEFirst Stage Researcher (R1)
APPLICATION DEADLINE30/06/2021 00:00 - Europe/Brussels
LOCATIONGermany › Darmstadt
TYPE OF CONTRACTTemporary
HOURS PER WEEK38.5
OFFER STARTING DATE01/07/2021
EU RESEARCH FRAMEWORK PROGRAMMEFP7 / People-Marie Curie Actions
MARIE CURIE GRANT AGREEMENT NUMBER955681
Enhancing infrastructure monitoring using a FMEA-based systematic and holistic system analysis
Modern technological systems increase in scale and are becoming more and more complex and sophisticated. Parallel, the revolution in electronics, digital technology and communications have drastically modified and expanded the physical diversity, scope, processing capabilities and complexity of the monitoring equipment and infrastructure used. Millions of networked sensors are being embedded in the physical world sensing, creating and communicating data. The amount of data available for capturing has been exploding and the era of Big Data is already here, as the Internet of Things (IoT) is becoming a reality. The main question which arises is how, following which steps and with which tools the data can be transformed to information and knowledge.
The candidate should develop a methodology, based on the Failure-Modes-and-Effects-Analysis (FMEA) and multi-class classification methods, to monitor large-scale complex technological systems (e.g. infrastructures, such as bridges and wind turbines), as well as the sensor network that is used. In special use-cases in rough environments, e.g., if the submerged structures of offshore wind turbines should be monitored, it is commonly accepted that the sensors will only have a useful lifetime of less than one year (so called ‘lost sensors’). A novel method should be developed to replace the information coming from the lost sensors by information from the remaining sensors in the network, replacing the “lost sensors” by “virtual” ones.
The ESR will receive training and actively perform research in all aspects of numerical and experimental methodology development. As part of his or her training, the ESR will also receive complementary skills training to prepare him or her for a future career in engineering and/or management.
The research activities will mainly be carried out at the Fraunhofer LBF located in Darmstadt, Germany, combined with research visits and/or short-term secondments to other members of the network. The ESR will work in the business unit Adaptronics of the Fraunhofer LBF (www.lbf.fraunhofer.de). The ESR will be hired on a contract for 36 month according to regulations for Marie Curie grant holders.
MOIRA (MOnItoRing of large scale complex technologicAl systems) is an Initial Training Network (ITN) Nr. 955681, funded under the H2020 Marie Skłodowska-Curie Actions of the EC.
The MOIRA ITN brings together early stage researchers and experienced specialists from key players in academia and industry across Europe covering different scientific disciplines and industrial stakeholders from a broad range of backgrounds to optimally tackle the challenges ahead. The MOIRA Fellows will be trained in innovative PhD topics as well as receiving specific theoretical and practical education in the fields of mechanical engineering and computer science, focusing towards the online early accurate identification of abnormal incidents with minimum false alarms and missed detections. For details on the MOIRA ITN see https://cordis.europa.eu/project/id/955681
How to apply
To apply, please send a detailed CV together with a letter of motivation and names of reference(s) to
Dipl.-Ing. Andreas Friedmann
Fraunhofer Institute for Structural Durability and System Reliability LBF
Bartningstr. 47, 64289 Darmstadt, Germany
Since the R&D is highly multidisciplinary, the candidate must hold a M.Sc. in engineering (e.g. mechanics, materials, or electronics) and has an adequate mathematical & computational background. Specific experience with CAE simulation methodologies and software, vibro-acoustic testing as well as in smart structures is an advantage. Candidates who have the proper qualifications may get the opportunity to perform this work as part of a PhD study. All members of the network are equal opportunity employers, both female and male candidates are invited to apply.
Candidates will be required to meet the Marie Skłodowska-Curie Early-Stage Researcher eligibility criteria: (http://ec.europa.eu/research/mariecurieactions/ ). In particular, at the time of appointment candidates must have had less than four years full-time equivalent research experience and must not have already obtained a PhD. Additionally, they must not have resided in Germany for more than 12 months in the three years immediately before the appointment. The candidate must be at least fluent in spoken and written English.
Very specific salary conditions apply according to the EC rates for Marie Curie grant holders. For details see either the Marie Curie homepage or contact us directly.
Required language: english, level "excellent"
EURAXESS offer ID: 611945
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