KTH Royal Institute of Technology in Stockholm has grown to become one of Europe’s leading technical and engineering universities, as well as a key centre of intellectual talent and innovation. We are Sweden’s largest technical research and learning institution and home to students, researchers and faculty from around the world. Our research and education covers a wide area including natural sciences and all branches of engineering, as well as architecture, industrial management, urban planning, history and philosophy.
Third-cycle subject: Computer Science
The position is funded by the EU FET H2020 project “The Human Brain Project” (HBP), and addresses research in neuronal computation for robotic systems. Here, we particularly focus on extensions and applications of neuromorphic hardware and on efficient algorithm design on such dedicated hardware. The successful candidate will explore the use of spiking neuronal networks on dedicated neuromorphic hardware (e.g. SpiNNaker, Spikey, TrueNorth, Loihi) to control real or virtual robots in the neurorobotics platform (NRP, https://neurorobotics.net). Multiple experiments are envisioned, ranging from motor-control for compliant tendon-driven robots (e.g. for Neuroprosthetic Devices), up to event-based vision for scene understanding and mobile robot navigation. The Ph.D. candidate together with the supervisor will evaluate and select the most promising scenarios and develop combined hardware and software real-time demonstrators of neuronal function. Prerequisites include expertise about neuronal networks and computational neuroscience, but also experience in robotic applications (hardware and/or software). Optionally technology transfer from the lab environment into industry or Start-up Company.
What we offer
To be admitted to postgraduate education (Chapter 7, 39 § Swedish Higher Education Ordinance), the applicant must have basic eligibility in accordance with either of the following:
In order to succeed as an doctoral student at KTH you need to be goal oriented and persevering in your work. In the selection of the applicants, the following will be assessed:
After the qualification requirements, great emphasis will be placed on personal qualities and personal suitability
Target degree: Doctoral degree
Information regarding admission and employment
Only those who are or have been admitted to third-cycle studies may be employed as a doctoral student. The term of the initial contract may not exceed one year and may thereafter be extended. Doctoral students may engage in teaching, research, and administration corresponding to a maximum of 20 % of a full-time position.
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Doctoral section (Students’ union on KTH Royal Institute of Technology)
You will find contact information for doctoral section on the section's website.
Apply for the position and admission through KTH's recruitment system. It is the applicant’s responsibility to ensure that the application is complete in accordance with the instructions in the advertisement.
Applications must be received at the last closing date at midnight, CET/CEST (Central European Time/entral European Summer Time).
Applications must include the following elements:
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Disclaimer: In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.Type of employment: Temporary position longer than 6 months
|Title||Doctoral student in Neuromorphic Hardware and Algorithms for Robots|
|Employer||KTH Royal Institute of Technology|
|Job location||Valhallavägen 79, 100 44 Stockholm|
|Published||June 13, 2019|
|Application deadline||July 12, 2019|
|Job types||PhD  |
|Fields||Information Science,   Algorithms,   Neurology,   Biotechnology,   Computer and Society,   Computer Communications (Networks),   Data Structures,   Human-computer Interaction,   Robotics,   |