Connectionists: Postdoc @ Imperial (Computational Neuro/AI/Neuromorphic Systems)

[Akarca, Danyal]

Dear all,

** Postdoc position: Deadline 30th September **
Apply here: https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20479&jobTitle=Research+Associate+in+Computational+Neuroscience%2FNeuroAI%2FNeuromorphic+Systems<https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20479&jobTitle=Research+Associate+in+Computational+Neuroscience/NeuroAI/Neuromorphic+Systems>
Location: Imperial College London (EEE)
Pay: £48,056 - £56,345 per annum (18 months first instance)
Questions: Please email me at d.akarca at imperial.ac.uk<mailto:d.akarca at imperial.ac.uk>

I’m pleased to share a new exciting post-doctoral Research Associate post. The post is hosted at EEE at Imperial College London, is funded by the Advanced Research and Innovation Agency (ARIA) Nature Computes Better Opportunity Seed (https://www.aria.org.uk/nature-computes-better-seeds/). This is for one of the agency’s first funded projects, aiming to redefine the way computers process information by exploiting principles found ubiquitously in nature

The successful candidate will work closely with the PI Dr Danyal Akarca (Imperial) and team Dr Daniel Goodman (Imperial) and Dr Jascha Achterberg (Oxford). Regular meetings will be conducted with the ARIA team. While an up to18-month post in the first instance, there is promising (although not guaranteed) opportunities for follow-on funding.

The successful candidate will be integral to delivering on the project: “Brain-inspired spatially embedded neuromorphic networks with unprecedented memory”.

There are two broad aspects to this project that the successful candidate would be working on. The first component will focus on building spatial and topological priors into state-of-the-art state space models, identifying the extent to which delay-based computation (in space) improve performance and/or energy/training efficiency. The second component, in collaboration with Intel (via the Intel Neuromorphic Research Community), will be to test these models on neuromorphic hardware – specifically Loihi2 chips. The scope of the project is wide, and we anticipate to pivot should new opportunities arise. We are open to a wide range of academic technical backgrounds but expect the candidate to start quickly. Machine learning/Neuro-AI experience is essential and a background in neuromorphic systems/hardware is highly desirable.

Best,
Dan
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