Danish Technical University

PhD scholarship in Bio-Inspired Learning Approaches for Anomaly Detection and Condition Monitoring... (BB-C35DC)

Found in: Neuvoo DK


The Automation and Control Group at the Department of Electrical Engineering, Technical University of Denmark invites applicants for a 3-years PhD position in the areas of aerial robotics and machine learning.

At the Automation and Control group at DTU, you will be part of a group with broad competences in robotics and autonomous systems, and you will have access to unique facilities where you will be able to conduct your research in a highly motivated, technology-oriented environment where you will enrich your competences through collaboration with several peers and senior staff members.

This position is one out of 15 Early-Stage Researcher (ESR) positions offered within the Marie Skłodowska-Curie Innovative Training Network (ITN) “AErial RObotic TRAINing for the next generation of European infrastructure and asset maintenance technologies” (AERO-TRAIN; ). 

The AERO-TRAIN project is carried out by a consortium of 14 academic and industrial organizations from Denmark, Sweden, Norway, Finland, Spain, Italy and Switzerland. AERO-TRAIN aims to close the gap between the Infrastructure Operations & Maintenance industry and aerial robotics, with the ambition to keep our invaluable assets operational and safe. The project addresses the fundamental challenges of human-machine interface immersive technology, augmented reality) and of precise and robust aerial manipulation for enhanced remote manipulation and inspection evaluation.

Offer Requirements

  • REQUIRED EDUCATION LEVEL Engineering: Master Degree or equivalent
  • Skills/Qualifications

    As an ESR in the AERO-TRAIN project, you will contribute to the overall research through your ESR project, where you will develop innovative bio-inspired (such as spiking deep neural networks) vision-based learning algorithms for detection and classification of anomalies and failures in physical infrastructures. The candidate will also implement novel machine learning approaches for condition monitoring with multimodal sensing technologies within the project scope. The methods will be applied in areal robots in the context of aerial inspection of infrastructures. You will work with colleagues at DTU Automation and Control group, as well as with the other ESR of the AERO-TRAIN project. Besides working on their project at DTU Automation and Control group, the successful candidate will participate in network-wide training events like summer schools and retreats. Moreover, the PhD student will conduct secondments at other network partners.

    The successful candidate will receive an employment full time contract and a competitive gross salary.

    The ESR applicants should have:

  • An outstanding academic record, excellent skills and ideally proven experience in the fields of Computer Science, Electrical/Electronic engineering, Robotics, Automation engineering and or similar. Experience in the field of robot programming, computer vision, mathematical modelling or artificial intelligence is beneficial.
  • Excellent methodological skills and an analytical mind-set, ability to work both independently and as a member of a research team.
  • Outstanding communication skills in English, both oral and written.
  • High motivation, ambition and enthusiasm about research in physical manipulation with aerial robots.
  • Excited to work and collaborate with a diverse team of robotics researchers and engineers.
  • calendar_today4 days ago

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    info Temporary

    location_onLyngby, Denmark

    work Danish Technical University

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