We offer a position as an

Early Stage Researcher (M/F/D)

in the Marie Skłodowska-Curie Innovative Training Network Project MenelaosNT in the field

Civil works, operation and maintenance of urban infrastructures.

Intelligent Infrastructure based on digitalization and Big Data solutions for smart mobility. The key factor for smart infrastructures is the predictive maintenance based on connected and digitalized infrastructures. This project will focus on the data measured by low-cost mobile devices for the continuous monitoring and digitalizing for different transport infrastructures and cities. The mobile devices will integrate sensors with and without compressed sensing strategies of different nature for the acquisition of georeferenced data. Several sensors will be used; image and LiDAR sensors, with and without compressed sensing, among others. So, the specific objective of this project will be the automatic compressed data processing for the monitoring and extraction of relevant semantic information existing in the transport infrastructure, which will be used as base to build a Digital Twin and the BIM for infrastructure.

The successful candidate will be employed for a maximum period of three years full-time equivalent and receives a generous financial package plus an additional mobility and family allowance according to the rules for Early Stage Researchers (ESRs) in an EU Marie Sklodowska-Curie Actions Innovative Training Networks (ITN). A career development plan will be prepared for each fellow in accordance with his/her supervisor and will include training, planned secondments and outreach activities in partner institutions of the network. The ESR fellows are supposed to complete their PhD thesis by the end of the 3rd year of their employment. For more information please visit the Marie Sklodowska-Curie Actions Innovative Training Networks website.

assignment Your Tasks

  • Definition of standard management protocols and their scope by selecting the asset elements and features to focus on
  • Organizing a core database with rich and appropriate datasets including the collection of specific datasets if necessary
  • Definition of a data processing architecture
  • Implementation and evaluation of data mining algorithms and solutions for asset detection and classification, including result analysis and comparison for each feature in the database
  • Evaluation of AIC implementation (WP2) feasibility of the main achieved solutions. Secondments to partners and comparative analysis of the alternatives

      account_box Profile

      • A Master of Science in Computer Science Science is required. It could comprise to the full range of mathematical, physical, engineering and technology disciplines related to sensor data acquisition and programming
      • Proficient English level, or Spanish is required
      • Previous experience with LiDAR and RGB image processing, sensor fusion, Digital Twin models and/ or BIM standards will be valued
      • Knowledge of C++, Python, Machine/Deep Learning developments, , applied to point clouds and image processing, as well as linear elements detection, since these will be considered as the backbone of the project

      work Planned Secondments

      • CEOSpace Tech., Bucharest, Romania, Dr. D. Coltuc, 6 months, implementation and evaluation of data mining algorithms.
      • CITIUS, Santiago de Compostela, Spain, Dr. P. López Martínez, 4 months, evaluate AIC feasibility of the solutions.

      We are a technology-based engineering and architecture firm. We are specialist in Mobile Mapping Systems. We were founded in the year 2008 as a way to transfer the activities of the University of Vigo GEO-Applied Technologies research group to the market. We are present in Spain (Madrid, A Coruña, Lugo and Vigo) where we provide services throughout Europe, and in Brazil (Sao Paulo), through our subsidiary Metro Cúbico Engenharia (www.metrocubicoengenharia.com.br), to work on projects on the American continent.
      We are a large, young, well-educated, serious, reliable and multi-disciplinary team meaning that we all contribute, think, plan and design the best option to adapt to each of our customer’s needs. We get excited about each and every one of our projects and give our best to each one. We do maintenance of our drones, travel thousands of kilometres with our Mobile Mapping equipment, document large infrastructures and buildings and integrate large volumes of georeferenced data obtained using these and other new technologies available to the company. We are in constant contact with our offices in Vigo, Coruña, Madrid and Brazil, as they are fundamental pillars for the company’s development.

      The position will be located at

      Ingenieria Insitu
      Rúa Rafael de Vega Doutor 12
      27002 Lugo, Spain

      Supervisor: Prof. Dr. Pedro Arias Sánchez

      Planned Recruitment date: 1st September 2020.

      Eligibility Criteria and Mobility Rule

      ESRs must, at the date of recruitment, be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree. Full-Time Equivalent Research Experience is measured from the date when the researcher obtained the first degree entitling him/her to embark on a doctorate (either in the country in which the degree was obtained or in the country in which the researcher is recruited), even if a doctorate was never started or envisaged. Researchers can be of any nationality.

      ESRs must not have resided or carried out their main activity (work, studies, etc.) in the country of the recruiting beneficiary for more than 12 months in the 3 years immediately before the planned recruitment date. Compulsory national service, short stays such as holidays, and time spent as part of a procedure for obtaining refugee status under the Geneva Convention are not taken into account.

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