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digital signal processing PhD Projects, Programmes & Scholarships
We have 7 digital signal processing PhD Projects, Programmes & Scholarships
We have 7 digital signal processing PhD Projects, Programmes & Scholarships
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Highly Integrated Coherent optical fibre Communications, supported by EFFECT Photonics
Applications are invited for a three-and-a-half year Postgraduate studentship, supported by the College of Engineering and Physical Sciences and EFFECT Photonics, to be undertaken within the. Read more
PhD Studentship in Electrical and Electronic Engineering: Enabling Net Zero Power Systems through Distributed System Service Provision
Overview. This PhD provides an exciting opportunity to explore new ways of addressing the challenges that grid operators around the world face as energy systems transition to zero carbon operation. Read more
PhD opportunities in Computer Science at Brunel University London
From data analysis to artificial intelligence, drive innovation with PhD Computer Science at Brunel University London. Read more
PhD opportunities with the Institute for Digital Technologies at Loughborough University London
. PhD. 3 years full-time; 6 years part-time. Start dates. January, April, July, October. Entry Requirements. An honours degree [2:1 or above] or equivalent overseas qualification. Read more
Musculoskeletal loading from a minimal wearable sensor system during rehabilitation
Project details. “In the future… training and rehabilitation programmes will use wearable and simple imaging technologies to estimate tissue level biomechanics derived from personalised neuromusculoskeletal modelling in real-time in the real-world. Read more
PhD: Improving additive manufacturing productivity using correlative chemical and X-ray imaging
Additive manufacturing (AM) or 3D printing is an emerging digital manufacturing technology that produces components with complex shapes. Read more
Statistical machine learning for computational neuroscience
This project will focus on signal processing in neuroscience applications using state-of-the-art statistical machine learning techniques. Read more
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