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PhD Studentship Hardware Accelerators for Neuromorphic Sensing at University of Southampton

University of Southampton, UK is inviting applicants to apply for a PhD position in signal processing. The funding allows successful candidate to work for 4 years. Applicants should apply before June 05, 2020.

The aim of this PhD studentship is to develop ultra-low power sensing processing modules that handle spiking inputs sourced by neuromorphic sensors (e.g. silicon retinas, e-nose, etc). Opportunities exist for working collaboratively with world-leading experts in neuromorphic sensors. The project covers a wide spectrum of experimental research, including mixed-signal IC and/or embedded design, signal processing (signal processing scholarships) and neuromorphic systems. Such sensing processing units can be used for enabling novel applications through the design of AI hardware, and embedded/reconfigurable systems for IoT applications. The PhD student will have the opportunity to join a multi-disciplinary team and to be trained and work in the world-class facilities of the Zepler Institute for Photonics (fully funded Photonics scholarships) and Nanoelectronics.

This project is funded through the UKRI MINDS Centre for Doctoral Training (www.mindscdt.ai). This is one of 16 PhD training centres in the UK (UK scholarships) with a unique focus on advancing AI techniques in the context of real-world engineered systems with a remit that spans novel hardware for AI, AI and machine learning, pervasive systems and IoT, and human-AI collaboration. We provide enhanced cross-disciplinary training in electronics and AI, entrepreneurship, responsible research and innovation, communication strategies, outreach and impact development as part of an integrated 4-year iPhD programme. The MINDS CDT is based in a dedicated laboratory on Highfield Campus at the University of Southampton. The lab provides a supportive environment for individual research, ideas sharing and collaboration, and the wider campus provides access to substantial high-performance computing (including dedicated GPU servers), maker and cleanroom facilities. You will take part in our annual, student-designed innovation camps, be able to work with industry and government partners through our internship scheme and be able to take part in exchanges with international university partners.

Funding: full tuition for EU/UK Students plus, for UK and EU students resident in the UK for previous 3 years, an enhanced stipend of 18,285, tax-free per annum for 4 years. years.

no later than 5 June 2020 for entry in October 2020.
Applications should be made online, select the academic session 2020-21 "PhD MINDS" as the programme. Enter Secure Hardware accelerators for neuromorphic sensing under the Topic or Field of Research.
Summary:

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