We are seeking motivated postdoctoral candidates to advance the theory of brain-inspired algorithms and apply them to complex, real-world problems. The successful candidate will join an interdisciplinary team of computer scientists, mathematicians, engineers, and neuroscientists pursuing advanced research and development in neuromorphic computing, artificial intelligence, and spiking neural networks across a range of applications.
A strong background in theory (e.g., mathematics, theoretical neuroscience, computer science) is a necessity. Experience with artificial intelligence models or neural-inspired computing is strongly preferred.
On any given day, you may be called on to:
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Develop and extend neural-inspired artificial intelligence algorithms;
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Research theoretical principles and foundations necessary for model interpretability and introspection;
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Program and test algorithms on neuromorphic and AI accelerator hardware;
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Apply existing state-of-the-art methods and algorithms to domain data;
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Engage with the community for conferences, workshops, proposals, and outreach;
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Develop and support open-source research software packages;
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Publish research results in high-quality journals and competitive conference venues.
Due to the nature of the work, the selected applicant will be required to work onsite. Relocation provided for those who qualify.
