George Constantinides
Top university
1 month ago
PhD or Postdoc in Digital Neuromorphic Computing, Energy-Efficient AI and Temporal Neural Computation Imperial College London in United Kingdom
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
December 31, 2026Country
United Kingdom
University
Imperial College London

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Keywords
About this position
Imperial College London is recruiting for a jointly supervised PhD or postdoc opportunity in digital neuromorphic computing, with a research focus on energy-efficient AI and temporal neural computation.
The position is being advertised by George Constantinides together with Dan Goodman and Christos Savvas Bouganis. The successful candidate will work at the intersection of neuromorphic computing, artificial intelligence, and digital hardware design, and will also be affiliated with NeuroWare, the UK Innovation & Knowledge Centre in Neuromorphic Computing.
This is a strong fit for applicants interested in spiking neural networks, low-power AI hardware, and computational approaches inspired by neural dynamics. The post does not list detailed eligibility criteria in the excerpt, but it is clearly aimed at candidates with relevant research interests in computing and hardware-oriented AI.
The application deadline is 15 May 2026. Applicants should use the linked Imperial application page and submit their materials online. The job page notes that applications may close early if a high volume is received, so early submission is recommended.
Institution: Imperial College London. Contact support for technical issues at [email protected].
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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