Job description
This project focuses on the design and implementation of novel uncertainty aware high-resolution mapping methods for aerial manipulation to enhance Human-Machine integration for infrastructure health monitoring. The integration of human supervision in the robotic inspection of the infrastructure is a key missing element, allowing autonomous systems to support human operations. The maps should be suitable for (a) the onboard controller to prevent collisions, (b) the human interface to provide high-level user information.
The PhD project will be hosted at ASL of ETH offering all the equipment necessary to perform the sought investigation, including robots and indoor/outdoor facilities. Besides working on their project at ASL, the successful candidate will participate in network-wide training events like summer schools and retreats. Moreover, the PhD student will conduct two secondments at other network partners.
The successful candidate will receive an employment full time contract and a competitive gross salary in accordance with ETH standards. The expected start date for the position is May-September 2021.
Your profile
The ESR applicants should have:
Eligibility Criteria
All interested applicants meeting the eligibility requirements, irrespective of age, gender, race, disability, religion or ethnic background are encouraged to apply.
ETH Zurich
ETH Zurich is one of the world’s leading universities specialising in science and technology. We are renowned for our excellent education, cutting-edge fundamental research and direct transfer of new knowledge into society. Over 30,000 people from more than 120 countries find our university to be a place that promotes independent thinking and an environment that inspires excellence. Located in the heart of Europe, yet forging connections all over the world, we work together to develop solutions for the global challenges of today and tomorrow.
Interested?
We look forward to receiving your online application with the following documents:
The position for which you are applying is part of a call for 15 candidates within the AERO-TRAIN project. If you have applied or are planning to apply for any of the other positions, please provide a statement containing all the positions you applied for and rank them according to your preferences.
Optional:
Candidates will be selected based on their merits in the fields related to the expected ESR area of expertise. The board of the network will evaluate all applications, and the top-ranked candidates will be invited for interviews. Note that your data will be made available to the AERO-TRAIN partners for the purpose of conducting the assessment of all candidates.
Closing date:
29-02-2024
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