Prestigious EPSRC Funded Postdoctoral Research Associate – Fixed Term For Up To 48 Months
Programme: COG-MHEAR - world’s first cognitively-inspired multi-modal hearing aid.
Funding: £4 million (fEC), Engineering and Physical Sciences Research Council (EPSRC), UK Government.
Academic Partners: Edinburgh Napier (Lead), Wolverhampton (Co-Lead), Manchester, Edinburgh, Heriot-Watt, Glasgow, Nottingham, and University College London.
Industrial Partners: Nokia Bell Labs, Sonova, and Alpha Data.
Conscious Multisensory Integration (CMI) Lab is leading several National and International prestigious projects in collaboration with world-leading academics, agencies, and industries, including NASA, Intel, Qualcomm, and ARM.
As part of our ~£4 million COG-MHEAR programme grant funded by the EPSRC, we are co-pioneering the world’s first multimodal (MM) audio-visual hearing aid (HA) by radically exploiting and integrating the transformative potential of privacy-assuring and explainable AI, 5G, IoT and cybersecurity, coupled with flexible (skin-based) electronics. Our vision 2050 is to develop a full system-on-chip MM HA that will be internet-independent.
We are looking to appoint a full-time exceptional Researcher to undertake world-leading research in one or more individual COG-MHEAR projects, working on internet-independent on-chip big data processing, privacy-preserving context-sensitive machine learning, and MM audio-visual speech enhancement.
This is an exceptional opportunity to drive ambitious pioneering research and become a part of the EPSRC Programme.
Qualifications:
Main Duties and Responsibilities:
Salary: £31,800 to £34,800.
Closing date: 12 April 2021 (only short-listed candidates will be contacted).
Informal inquiries can be made to Dr Ahsan Adeel (ahsan.adeel@deepci.org).
Prestigious EPSRC match funded PhD Studentships
Three positions are available.
Projects:
1. COG-MHEAR - world’s first cognitively-inspired multi-modal hearing aid - see details above.
2. Novel brain-inspired energy-efficient high-performance computing architectures.
3. Context-sensitive probabilistic deep learning.
Qualifications:
Candidates must be willing to travel to other project sites, including short visits to the University of Oxford, Edinburgh, Manchester, and Glasgow.
Studentship covers UK/EU tuition fee and provides a tax-free stipend of £15,500 pa.
Closing date: Until the posts are filled (only short-listed candidates will be contacted).
Informal inquiries can be made to Dr Ahsan Adeel (ahsan.adeel@deepci.org).
PhD Positions
[This job has expired]
As part of our 4 years of collaborative doctoral partnership (CDP) and AI research programme, in collaboration with the Massachusetts Institute of Technology (MIT), University of Oxford, and Nottingham Trent University (NTU), we seek applicants for 5 PhD fellowships. More details will follow shortly.
Knowledge and Experience:
Entrants must have a first/undergraduate Honours degree, with a First-Class grade. Applicants with an Upper Second Class must also have a postgraduate master’s degree at Merit. A GPA higher than 3.8/4.0 (for international students)
Candidates must be willing to travel to other project sites for collaboration (including short visits to the University of Oxford and NTU).
please send your CV to ahsan.adeel@deepci.org