Connectionists: PhD position in Bio-Inspired Learning Approaches for Anomaly Detection and Condition Monitoring with Aerial Robots

Thu Mar 4 15:23:06 EST 2021

Do you want to be part of a vibrant training network on Aerial Robotics? Do you want to be one of the Early Stage Researchers that will fill the technological and scientific gaps between aerial robotics and the Operations & Maintenance industry, thus making an impact for society and the industry? Do you believe that the potentials of aerial robots are yet to be unleashed, and you want to be at the forefront of this technological innovation?

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; www.aerotrain-etn.eu<http://www.aerotrain-etn.eu/>).

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 (e.g., immersive technology, augmented reality) and of precise and robust aerial manipulation for enhanced remote manipulation and inspection evaluation.

Responsibilities and 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.

To be eligible for recruitment, the following eligibility criteria must be met:

  *   At the time of their recruitment, candidates must be in the first four years (full-time equivalent research experience) of their research careers and have not been awarded a doctoral degree.
  *   Applicants can be of any nationality. However, applicants must not have resided or carried out their main activity (work, studies, etc.) in Denmark for more than 12 months in the 3 years immediately before the appointment. Short stays, such as holidays are not taken into account.
  *   Applicants must have a university degree that qualifies for PhD studies at the time of recruitment.

Approval and Enrolment
The scholarship for the PhD degree is subject to academic approval, and the candidate will be enrolled in one of the general degree programmes at DTU. For information about our enrolment requirements and the general planning of the PhD study programme, please see the DTU PhD Guide<http://www.dtu.dk/english/Education/PhD/Rules/PhDguide>.

We offer
DTU is a leading technical university globally recognized for the excellence of its research, education, innovation and scientific advice. We offer a rewarding and challenging job in an international environment. We strive for academic excellence in an environment characterized by collegial respect and academic freedom tempered by responsibility.

Salary and appointment terms
The appointment will be based on the collective agreement with the Danish Confederation of Professional Associations. The allowance will be based on the salary conditions of Marie Skłodowska-Curie ITN projects. The period of employment is 3 years.

The expected start date for the position is May-September 2021.

You can read more about career paths at DTU here<http://www.dtu.dk/english/about/job-and-career/working-at-dtu/career-paths>.

Further information
Further information may be obtained from Associate Professor Silvia Tolu, +45 45 25 39 28, stolu at dtu.dk<mailto:stolu at dtu.dk> or Associate Professor Matteo Fumagalli, +45 93 56 22 36, mafum at dtu.dk<mailto:mafum at dtu.dk>.

https://www.dtu.dk/english/about/job-and-career/vacant-positions/job?id=013a10d4-f2cd-4bf5-b5d9-a811efb2d769

Best regards / Med Venlig Hilsen<https://en.wiktionary.org/wiki/med_venlig_hilsen>,

Silvia Tolu

Associate Professor
Neuro-Robotics Team leader https://bioroboticsdtu.wordpress.com/
Review Editor for Frontiers Neurorobotics Journal

Automation and Control Group
Department of Electrical Engineering
Technical University of Denmark
------------------------------------
Richard Petersens Plads
Building 326, room 106
2800 Kgs. Lyngby
Direct +45 45253928
email: stolu at elektro.dtu.dk
Contribute to my RESEARCH TOPIC in Frontiers https://www.frontiersin.org/research-topics/16670

[1614326327840]

________________________________
From: Connectionists <connectionists-bounces at mailman.srv.cs.cmu.edu> on behalf of Laurenz Wiskott <laurenz.wiskott at rub.de>
Sent: 28 February 2021 18:16
To: Connectionists e-mail list
Subject: Connectionists: PhD position in Machine Learning with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany

The Ruhr-Universität Bochum is one of the leading research universities. The university draws its strengths from both the diversity and the proximity of scientific and engineering disciplines on a single, coherent campus. This highly dynamic setting enables students and researchers to work across traditional boundaries of academic subjects and faculties.

One particular strength of RUB is interdisciplinary research in Machine Learning and Artificial Intelligence, see https://ml-ai.rub.de/. The Institute for Neural Computation is a central research institute, see https://www.ini.rub.de/. It focuses on the dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications.

There is an open position for a research assistant / Phd-student in the group „Theory of Neural Systems“ of Prof. Dr. Laurenz Wiskott to be filled at the earliest possible date. The appointment will be for three years. Salary is 80% of salary scale TV-L E13.

This project is embedded in a large competence center for AI in the work sciences and will be conducted with colleagues at the RUB and industrial partners.

Task:

    • Develop a system for transparent and structured data analysis with methods from machine learning. The system shall enable non-ML-experts, who have good knowledge of the application domain, to make a sensible and targeted data analysis.

We offer:

    • An interesting interdisciplinary environment in the field of Machine Learning / Artificial Intelligence / Work Sciences.
    • Room to develop your own ideas in the project.
    • Infrastructure to integrate well into the institute and the group.
    • Opportunity to do a PhD (Dr).

Requirements:

    • Very good Master in mathematics, computer science, engineering, or a related field.
    • Good programming and mathematical skills.
    • Interest in interdisciplinary research questions and cooperations.

Advantageous:

    • Good communication and teamwork skills.
    • Experience in interdisciplinary projects.
    • Programming skills in Python.

Applications (CV, transcript of records for MSc and BSc, statement of purpose) should be sent as a single pdf file to laurenz.wiskott at rub.de.

Travel expenses for interviews will not be refunded.

Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged.

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