24 May 2024
Job Information
- Organisation/Company
Delft University of Technology (TU Delft)- Research Field
Technology- Researcher Profile
First Stage Researcher (R1)- Country
Netherlands- Application Deadline
25 Jun 2024 - 21:59 (UTC)- Type of Contract
Temporary- Job Status
Not Applicable- Hours Per Week
40.0- Is the job funded through the EU Research Framework Programme?
Not funded by an EU programme- Is the Job related to staff position within a Research Infrastructure?
No
Offer Description
Autonomous robots promise to transform our economy and society, thanks to the quick progress in artificial intelligence. However, state-of-the-art AI requires computing devices that are too heavy and energy-consuming. This makes robots heavy and dangerous, and hence unsuitable for many applications.
In the NWO VICI project “Neuromorphic Learning for Advanced Insect-inspired Artificial Intelligence (NL-AI2)”, we will develop a neuromorphic AI that is extremely efficient, as it mimics the sparse and asynchronous processing of the brain. To best demonstrate this technology’s efficiency, the AI will be modelled after insect intelligence and instilled on a resource-restricted drone. This will unlock innumerable new applications and even provides opportunities to learn about nature itself!
Within the project, a PhD position is now available on “Neuromorphic Flight Control and Obstacle Avoidance for Autonomous Drones”. The topic of the PhD is to develop neuromorphic attitude estimation and control, ego-motion control, and finally obstacle avoidance capabilities. The research will involve developing neuromorphic learning setups for learning, e.g. first for how to control attitude and ego-motion, with all required elements instilled in a spiking neural network. We strive for developing a self-supervised learning approach, so that robots can learn these skills in very little training time. Moreover, we intend to analyze the trained neural networks in order to unveil the exploited strategies and mechanisms.
The candidate will be guided by dr. C. De Wagter and prof. dr. G.C.H.E. de Croon at the Micro Air Vehicle laboratory (MAVLab), which is part of the Control and Operations department of the Faculty of Aerospace Engineering at TU Delft. They will have access to state-of-the-art tools and facilities needed to conduct their research. They will have the opportunity to collaborate with other researchers from within the laboratory, as well as on an international level.
Requirements
Specific Requirements
Requirements:
- An excellent degree in systems & control, robotics, artificial intelligence, computer science, or a related subject at Masters level or equivalent.
- Good programming skills in python and/or C++.
- Fluency in English.
- An independent scholar who wants to shape research in the field.
- An interest in interdisciplinary and collaborative research.
Beneficial:
- Hands-on experience with robot or drone hardware.
- Previous research experience.
- Knowledge of drone autopilots and / or ROS.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements .
Additional Information
Benefits
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from € 2770 per month in the first year to € 3539 in the fourth year. As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service . This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
Selection process
Are you interested in this vacancy? Please apply no later than 25 June 2024 via the application button and upload:
Please note:
- A pre-employment screening can be part of the selection procedure.
- Applying for an exemption for specific research and educational areas is an obligatory part of the selection procedure for this vacancy. This exemption must be obtained from the Ministry of Education, Culture and Science (OCW) before an employment contract is agreed upon. Click here for more information.
- You can apply online. We will not process applications sent by email and/or post.
- Please do not contact us for unsolicited services.
For information about the application procedure, please contact Guido de Croon ([email protected] ).
Additional comments
For more information about this vacancy, please contact Guido de Croon ([email protected] ).
- Website for additional job details
https://www.academictransfer.com/341831/
Work Location(s)
- Number of offers available
- 1
- Company/Institute
- Delft University of Technology
- Country
- Netherlands
- City
- Delft
- Postal Code
- 2628 CD
- Street
- Mekelweg 2
- Geofield
Where to apply
- Website
https://www.academictransfer.com/en/341831/phd-position-on-neuromorphic-flight-…
Contact
- City
Delft- Website
http://www.tudelft.nl/- Street
Mekelweg 2- Postal Code
2628 CD
STATUS: EXPIRED
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