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 ( 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.

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