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<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Dear all,</div>
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<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">** Postdoc position: Deadline 30th September **</div>
<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Apply here: <a href="https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20479&jobTitle=Research+Associate+in+Computational+Neuroscience/NeuroAI/Neuromorphic+Systems" class="">https://www.imperial.ac.uk/jobs/search-jobs/description/index.php?jobId=20479&jobTitle=Research+Associate+in+Computational+Neuroscience%2FNeuroAI%2FNeuromorphic+Systems</a> </div>
<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Location: Imperial College London (EEE)</div>
<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Pay: £48,056 - £56,345 per annum (18 months first instance)</div>
<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Questions: Please email me at <a href="mailto:d.akarca@imperial.ac.uk" class="">d.akarca@imperial.ac.uk</a> </div>
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<span style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);" class="">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 (</span><a href="https://www.aria.org.uk/nature-computes-better-seeds/" class="">https://www.aria.org.uk/nature-computes-better-seeds/</a><span style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);" class="">). 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</span>
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<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);"><b class="">The successful candidate will work closely with the PI Dr Danyal Akarca (Imperial) and team Dr Daniel Goodman (Imperial) and Dr Jascha Achterberg (Oxford).</b><span class=""> Regular
meetings will be conducted with the</span><span class=""> </span><span class="">ARIA team. While an up to18-month post in the first instance, there is</span><span class=""> </span><span class="">promising (although not guaranteed) opportunities for follow-on
funding.</span><br class="">
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The successful candidate will be integral to delivering on the project: “Brain-inspired spatially embedded neuromorphic networks with unprecedented memory”.
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<div class="">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.<br class="">
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<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Best,</div>
<div class="" style="caret-color: rgb(0, 0, 0); color: rgb(0, 0, 0);">Dan</div>
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