About the Project
The aim of this PhD studentship is to develop AI hardware accelerators that can be used for delivering computing capabilities beyond statistical learning, entailing computation at symbol-level. This involves treating data (already processed/classified via ANNs, CNNs, DNNs) as stable symbolic representations therefore allowing machines to reason and apply logic and common sense like humans do. This can be useful in a variety of real-time applications where AI systems are required to react when presented with unprecedented situations. The project covers a wide spectrum of experimental research, including machine learning, maths, and mixed-signal IC or embedded design. These novel AI hardware accelerators can be used in a variety of applications ranging from autonomous vehicles, smart assistance and robotic nurses. 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 and Nanoelectronics.
• Dr. Alexander Serb – expert in Nanoelectronics.
• Prof Dame Wendy Hall – expert in AI.
• Prof Themis Prodromakis – expert in AI Hardware.
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 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.
undergraduate degree (at least a UK 2:1 honours degree, or its international equivalent).
Closing date: no later than 5 June 2020 for entry in October 2020.
How To Apply
Apply online https://www.southampton.ac.uk/courses/how-to-apply/postgraduate-applications.page, academic session 2020-2, programme PhD MINDS. Enter Hardware for symbolic processing AI under the Topic of Research.
Applications should include:
Two reference letters
Degree Transcripts to date
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