July 2025 - Announce - lists.neuromorphs.net

BNEW 2026 Workshop Open Now for Registration
by Satyapreet Singh Yadav 19 Jul '25

19 Jul '25

🚨 Registration is Now Open for BNEW 2026! 🧠⚡ Advancing the Horizons of Neuromorphic Engineering: We’re thrilled to welcome you to the Bangalore Neuromorphic Engineering Workshop (BNEW) 2026, happening at the Indian Institute of Science, Bangalore! 📅 Dates: January 4–17, 2026 📍 Venue: Indian Institute of Science (IISc), Bangalore 🌐 Website: https://lnkd.in/evkeUhTb 📝 Registration Form: https://lnkd.in/eQnV-JXK Join a dynamic community of researchers, engineers, and students as we dive into the latest in: Neuromorphic Integrated Circuits and Systems Brain-inspired Computing Event-based Sensing Edge computing and Low-power AI Brain–Computer Interfaces This two-week immersive workshop features lectures, tutorials, and hands-on projects, fostering interdisciplinary collaboration at the bleeding edge of technology. 🌟 Apply now to be part of this exciting journey into the future of intelligent systems. Spots are limited! Best regards, On Behalf of Prof. Chetan Singh Thakur and the 2026 Bangalore Neuromorphic Workshop Organising Team [Andre Van Schaik, Shantanu Chakrabartty, Chetan Singh Thakur, Arindam Basu, and Chiara Bartolozzi]

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Job Opportunity: Join Analog Devices’ microAI Initiative, AI Compute Architect
by Massimiliano Versace 18 Jul '25

18 Jul '25

Dear neuromorphs, Please help spread the word about an exciting opening at Analog Devices (ADI) <https://analogdevices.wd1.myworkdayjobs.com/en-US/External/job/US-MA-Boston…> We are augmenting our Boston/San Jose offices by hiring an AI Compute Architect to join a new initiative that may be of strong interest to your students, colleagues, and collaborators working in non-traditional AI compute, neuromorphic engineering, edge AI. Thank you, Max Versace VP of Core AI ---------------------------------------- *About Analog Devices* *Analog Devices, Inc. (NASDAQ: **ADI <http://finance.yahoo.com/q?s=ADI>** ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at **www.analog.com <https://www.analog.com/>** and on **LinkedIn <https://www.linkedin.com/company/analog-devices/posts/?feedView=all>* * and **Twitter (X) <https://x.com/adi_news>**.* We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We are seeking an AI Compute Architect who will play a critical role in leading the architectural definition and early integration planning of disruptive µAI compute blocks (analog, neuromorphic, in-memory) into future ADI SoCs. You will benchmark and develop new state-of-the-art compute architectures for edge devices, translate advanced Edge AI functionality into analog, SNN, and heterogeneous compute designs, and implement detailed compute modeling in Python and SystemC to extract key performance indicators that guide architectural decisions. You will also support early RTL and analog prototyping of internal and third-party IPs and define robust IP interface specifications while working closely with analog and digital design teams to deliver industry-leading edge performance. Key Responsibilities - Benchmark and develop new state-of-the-art compute architectures specifically designed for efficient Edge AI deployment. - Translate advanced Edge AI intelligent functionality into µAI, analog, SNN, and heterogeneous compute architectures that deliver state-of-the-art performance on edge platforms. - Develop and implement compute modeling frameworks in Python and SystemC to extract critical KPIs such as latency, power, throughput, and memory utilization. - Support early RTL and analog prototyping of both internal and third-party IP blocks. - Define detailed IP interface specifications (e.g., AXI, NoC, DMA, memory subsystems) to ensure seamless integration across analog and digital design domains. - Coordinate closely with analog and digital design teams to validate architectural assumptions and interface requirements. - Contribute to the technical roadmap for next-generation Edge AI compute solutions and provide architectural guidance across cross-functional teams. Ideal Profile - Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. - 7+ years of experience in hardware architecture design for compute-intensive applications, preferably in AI/ML or edge computing domains. - Proven experience with compute modeling and performance analysis using Python and SystemC. - Deep understanding of µAI architectures, heterogeneous compute, and system-level trade-offs for edge platforms. - Hands-on experience in analog compute, in-memory compute, and neuromorphic architectures is a strong advantage. - Strong knowledge of SoC design principles, including memory hierarchies, interconnects (AXI, NoC), DMA, and IP integration. - Hands-on experience supporting RTL design, simulation, and prototyping flows, as well as analog-mixed signal blocks. - Demonstrated ability to define and document clear IP interface specifications and coordinate with multi-disciplinary design teams. - Excellent analytical and problem-solving skills, with a keen eye for balancing power, performance, and area constraints. - Strong communication and collaboration skills, with a passion for building cutting-edge compute solutions in a fast-paced, innovative environment. -- *********************************************************************** *********************************************************************** *********** Massimiliano Versace, PhD CEO, Neurala <http://www.neurala.com/> Inc. Founding Director, Neuromorphics Lab <http://cns.bu.edu/nl/>, Boston University Mob. +1.617.416.6817 <(617)%20416-6817> | maxversace.com <http://www.maxversace.com/> | TEDx talk <https://www.youtube.com/watch?v=YHqna0wQiqY> Mob. +1.617.416.6817 <(617)%20416-6817> | maxversace.com <http://www.maxversace.com/> | TEDx talk <http://maxversace.com/news/featured/875/tedx-fulbright-max-versace-talks-ab…> | Forbes <https://profiles.forbes.com/members/tech/profile/Max-Versace-CEO-President-…>| Medium <https://medium.com/@maxversace> *Fortune <http://fortune.com/2017/01/17/versace-neurala-artificial-intelligence/>* *Inc <http://www.inc.com/molly-reynolds/this-artificial-intelligence-expert-break…>** CNBC <http://www.cnbc.com/2017/02/10/coming-to-a-home-near-you-thinking-toys-secu…> **Tech Crunch <https://techcrunch.com/2017/01/17/neurala-closes-14m-series-a-to-bring-mach…>* *IEEE Spectrum <http://spectrum.ieee.org/automaton/robotics/artificial-intelligence/ai-star…>* *Venture Beat <http://venturebeat.com/2017/01/17/brains-for-bots-deep-learning-startup-neu…>** Forbes <https://www.forbes.com/sites/jimvinoski/2020/02/19/this-startup-is-using-ai…>* *********************************************************************** ***********

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Job Opportunity: Join Analog Devices’ microAI Initiative, AI Compute Architect
by Versace, Massimiliano 18 Jul '25

18 Jul '25

Dear neuromorphs, Please help spread the word about an exciting opening at Analog Devices (ADI)<https://analogdevices.wd1.myworkdayjobs.com/en-US/External/job/US-MA-Boston…> We are augmenting our Boston/San Jose offices by hiring an AI Compute Architect to join a new initiative that may be of strong interest to your students, colleagues, and collaborators working in non-traditional AI compute, neuromorphic engineering, edge AI. Thank you, Max Versace VP of Core AI ---------------------------------------- About Analog Devices Analog Devices, Inc. (NASDAQ: ADI<http://finance.yahoo.com/q?s=ADI> ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com<https://www.analog.com/> and on LinkedIn<https://www.linkedin.com/company/analog-devices/posts/?feedView=all> and Twitter (X)<https://x.com/adi_news>. We are building a pioneering organization focused on advancing the next generation of Edge AI compute and intelligent sensors. We are seeking an AI Compute Architect who will play a critical role in leading the architectural definition and early integration planning of disruptive µAI compute blocks (analog, neuromorphic, in-memory) into future ADI SoCs. You will benchmark and develop new state-of-the-art compute architectures for edge devices, translate advanced Edge AI functionality into analog, SNN, and heterogeneous compute designs, and implement detailed compute modeling in Python and SystemC to extract key performance indicators that guide architectural decisions. You will also support early RTL and analog prototyping of internal and third-party IPs and define robust IP interface specifications while working closely with analog and digital design teams to deliver industry-leading edge performance.   Key Responsibilities * Benchmark and develop new state-of-the-art compute architectures specifically designed for efficient Edge AI deployment. * Translate advanced Edge AI intelligent functionality into µAI, analog, SNN, and heterogeneous compute architectures that deliver state-of-the-art performance on edge platforms. * Develop and implement compute modeling frameworks in Python and SystemC to extract critical KPIs such as latency, power, throughput, and memory utilization. * Support early RTL and analog prototyping of both internal and third-party IP blocks. * Define detailed IP interface specifications (e.g., AXI, NoC, DMA, memory subsystems) to ensure seamless integration across analog and digital design domains. * Coordinate closely with analog and digital design teams to validate architectural assumptions and interface requirements. * Contribute to the technical roadmap for next-generation Edge AI compute solutions and provide architectural guidance across cross-functional teams.   Ideal Profile * Master’s or PhD in Computer Engineering, Electrical Engineering, Computer Science, or a related field. * 7+ years of experience in hardware architecture design for compute-intensive applications, preferably in AI/ML or edge computing domains. * Proven experience with compute modeling and performance analysis using Python and SystemC. * Deep understanding of µAI architectures, heterogeneous compute, and system-level trade-offs for edge platforms. * Hands-on experience in analog compute, in-memory compute, and neuromorphic architectures is a strong advantage. * Strong knowledge of SoC design principles, including memory hierarchies, interconnects (AXI, NoC), DMA, and IP integration. * Hands-on experience supporting RTL design, simulation, and prototyping flows, as well as analog-mixed signal blocks. * Demonstrated ability to define and document clear IP interface specifications and coordinate with multi-disciplinary design teams. * Excellent analytical and problem-solving skills, with a keen eye for balancing power, performance, and area constraints. * Strong communication and collaboration skills, with a passion for building cutting-edge compute solutions in a fast-paced, innovative environment. ----------------------------------------

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Job Opportunity: Join Analog Devices’ microAI Initiative, Staff Engineer AI/ML, Edge Compute
by Versace, Massimiliano 18 Jul '25

18 Jul '25

Dear neuromorphs, Please help spread the word about an exciting opening at Analog Devices (ADI)<https://analogdevices.wd1.myworkdayjobs.com/External/job/US-MA-Boston/AI-Al…>. We are augmenting our Boston/San Jose offices by hiring a Staff Engineer AI/ML – Edge Compute to join a new initiative that may be of strong interest to your students, colleagues, and collaborators working in non-traditional AI compute, neuromorphic engineering, edge AI. Thank you, Max Versace VP of Core AI ---------------------------------------- About Analog Devices Analog Devices, Inc. (NASDAQ: ADI<http://finance.yahoo.com/q?s=ADI> ) is a global semiconductor leader that bridges the physical and digital worlds to enable breakthroughs at the Intelligent Edge. ADI combines analog, digital, and software technologies into solutions that help drive advancements in digitized factories, mobility, and digital healthcare, combat climate change, and reliably connect humans and the world. With revenue of more than $9 billion in FY24 and approximately 24,000 people globally, ADI ensures today's innovators stay Ahead of What's Possible™. Learn more at www.analog.com<https://www.analog.com/> and on LinkedIn<https://www.linkedin.com/company/analog-devices/posts/?feedView=all> and Twitter (X)<https://x.com/adi_news>. We are building a pioneering organization focused on advancing the frontiers of Edge AI compute and intelligent sensors. We are seeking a Staff level AI/ML Lead – Edge Compute who will play a critical role in benchmarking and developing new state-of-the-art AI models and advanced optimization techniques to enable foundation models and Tiny ML to run efficiently on edge platforms. You will collaborate with startups and internal teams to optimize and compile cutting-edge AI models for custom hardware compute. Key responsibilities * Benchmark and develop new state-of-the-art uAI and foundation models specifically tailored for edge devices. * Research, introduce, and implement advanced optimization techniques to run large and complex AI models efficiently on analog compute, Neuromorphic, and heterogeneous compute * Collaborate closely with startups, internal engineering teams, and hardware partners to optimize and compile AI models for edge compute architectures and custom accelerators. * Validate, adapt, and fine-tune models to meet defined KPIs such as latency, power consumption, accuracy, and throughput. * Evaluate and recommend appropriate SDKs, toolchains, compilers, and runtime environments to maximize hardware and software performance. * Contribute to the technical roadmap and guide best practices for scalable and robust Edge AI deployment. * Mentor and guide junior team members and collaborate across multi-disciplinary teams to deliver production-ready solutions. Ideal profile  * Master’s or PhD in Computer Science, Electrical Engineering, Machine Learning, or a related field. * 7+ years of experience in AI/ML development, with a strong focus on deploying models on edge or embedded devices. * Deep expertise in AI model optimization techniques (e.g., quantization, pruning, knowledge distillation) and familiarity with transformer-based foundation models. * Strong hands-on experience with frameworks such as TensorFlow, PyTorch, ONNX, TVM, or similar toolchains for model compilation and acceleration. * Knowledge with SNN frameworks Brian2, NEST, BindsNET – advantage * Solid understanding of heterogeneous compute architectures (CPUs, GPUs, NPUs, FPGAs) and experience working with custom hardware or ASICs is highly desirable. * Proven track record of cross-functional collaboration with hardware, software, and product teams, as well as external partners or startups. * Excellent problem-solving skills, with a practical mindset to balance performance, efficiency, and production readiness. * Strong communication skills and ability to thrive in an innovative, fast-paced environment. ----------------------------------------

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NeuroPAC Bulletin: July 2025
by Sunny Bains 10 Jul '25

10 Jul '25

<https://www.neuropac.info/> July 2025 Accelerating Research on Neuromorphic Perception, Action, and Cognition VIDEO> Victoria Clerico (IBM Research Zürich): Retina-Inspired Object Motion Segmentation for Event-Cameras <https://www.neuropac.info/video/retina-inspired-object-motion-segmentation-…> <https://www.neuropac.info/video-category/?customize_changeset_uuid=d3883ecd…> See more neuromorphic engineering videos here <https://www.neuropac.info/video-category/> In the News Event-Driven E-Skins Protect Both Robots and Humans <https://www.eetimes.com/podcasts/event-driven-e-skins-protect-both-robots-a…> EE Times Current, 10 July 2025 Professor Gordon Cheng builds humanoid robots that can feel their environment using artificial skin. In this episode of Brains and Machines, he talks to Dr. Sunny Bains of University College London about how the skin was designed, how it improves safety, and why neuromorphic engineering will be important for machine autonomy. Discussion follows with Dr. Giulia D’Angelo from the Czech Technical University in Prague and Professor Ralph Etienne-Cummings of Johns Hopkins University… <https://www.rug.nl/research/fse/cognitive-systems-and-materials/news/newsit…> <https://www.eurekalert.org/news-releases/1089456> <https://www.eurekalert.org/news-releases/1089456>Neuromorphic Now 2025: From Vision to Impact <https://www.rug.nl/research/fse/cognitive-systems-and-materials/news/newsit…> University of Groningen, 2 July 2025 The Neuromorphic Now conference returned for its second edition on 13 June 2025, bringing together 110 researchers, innovators, and policymakers in Delft. Organised by TNO, CWI, TU Delft, and CogniGron, the event aimed to accelerate the neuromorphic computing innovation agenda. Building on the success of the inaugural 2024 meeting (co-organised by IMEC), this year’s edition focused… <https://www.eurekalert.org/news-releases/1089456> <https://medium.com/@rogt.x1997/1-000x-ai-efficiency-the-neuromorphic-chips-…>1,000x AI Efficiency? The Neuromorphic Chips That Could Slash Data Center Energy <https://medium.com/@rogt.x1997/1-000x-ai-efficiency-the-neuromorphic-chips-…> Medium, 23 June 2025 Neuromorphic computing stands at the threshold of what could become one of the most transformative shifts in processing architecture since the birth of personal computing. By emulating the brain’s remarkable efficiency, neuromorphic systems offer a vision of AI processing that consumes vastly less power while unlocking new capabilities in real-time, adaptive decision-making…. <https://medium.com/@rogt.x1997/1-000x-ai-efficiency-the-neuromorphic-chips-…> <https://www.theengineer.co.uk/content/news/neuromorphic-computing-powers-ne…>Low-energy robot navigation mimics neural processes <https://www.theengineer.co.uk/content/news/neuromorphic-computing-powers-ne…> THE ENGINEER, 23 June 2025 Developed at Queensland University of Technology (QUT), LENS (Locational Encoding with Neuromorphic Systems) uses brain-inspired computing to set a new, low-energy benchmark for robotic place recognition. The breakthrough is detailed in Science Robotics. The research, conducted by first author neuroscientist Dr Adam Hines along with Professor Michael Milford and Dr Tobias Fischer, all from the QUT Centre of Robotics and the QUT School of Electrical Engineering and Robotics, uses neuromorphic computing… <https://www.theengineer.co.uk/content/news/neuromorphic-computing-powers-ne…> <https://medium.com/@mike.anderson007/the-future-of-neuromorphic-computing-4…>The Future of Neuromorphic Computing <https://medium.com/@mike.anderson007/the-future-of-neuromorphic-computing-4…> Medium, 20 June 2025 Neuromorphic computing, a revolutionary approach to designing computer architectures inspired by the human brain’s neural structures, stands on the brink of transforming modern computing as we know it. By mimicking the brain’s massively parallel, event-driven, and energy-efficient processes, neuromorphic systems promise to break the limitations of traditional von Neumann architectures — particularly in an era where Moore’s Law is slowing down and the demand for smarte… Click for more News and Blogs > <https://www.neuropac.info/resources-3/news-and-blogs/> Events June 2025 14 July - 25 July NeuroAI Live Online Course by Neuromatch <https://www.neuropac.info/event/neuroai-live-online-course-by-neuromatch/> Online Full time, 2 Week, Live Instruction Course What are common principles of natural and artificial intelligence? The core challenge of intelligence is generalization. Neuroscience, cognitive science, and AI are all questing for Continue readingNeuroAI Live Online Course by Neuromatch→ <https://www.neuropac.info/event/neuroai-live-online-course-by-neuromatch/> 14 July - 1 August NeuroAI – Neuroscience and AI Summer School <https://www.neuropac.info/event/neuroai-neuroscience-and-ai-summer-school/> Champalimaud Centre for the Unknown, Portugal Lisbon, Portugal Modern deep learning methods provide some of the best tools to model behavior and brain function today. Excitingly, AI systems have become the first artificial models capable of matching human performance Continue readingNeuroAI – Neuroscience and AI Summer School→ <https://www.neuropac.info/event/neuroai-neuroscience-and-ai-summer-school/> 29 July - 31 July International Conference on Neuromorphic Systems (ICONS 2025) <https://www.neuropac.info/event/international-conference-on-neuromorphic-sy…> Seattle Seattle, WA, United States The goal of ICONS is to bring together leading researchers in neuromorphic computing to present new research, develop new collaborations, and provide a forum to publish work in this area. Continue readingInternational Conference on Neuromorphic Systems (ICONS 2025)→ <https://www.neuropac.info/event/international-conference-on-neuromorphic-sy…> 30 July - 31 July NeuroAI Symposium at the Allen Institute <https://www.neuropac.info/event/neuroai-symposium-at-the-allen-institute/> Allen Institute Seattle, WA, United States NeuroAI will be held July 30 - 31, 2025 at the Allen Institute in Seattle, WA. Speakers include Boris Gutkin (ENS), Fanny Cazettes (Aix-Marseille), Garret Stuber (UW), Blake Richards (McGill), Continue readingNeuroAI Symposium at the Allen Institute→ <https://www.neuropac.info/event/neuroai-symposium-at-the-allen-institute/> August 2025 3 August - 5 August Photonic and Neuromorphic Computing Sessions at SPIE ETAI 2025 <https://www.neuropac.info/event/photonic-and-neuromorphic-computing-session…> San Diego San Diego, CA, United States At the Emerging Topics in Artificial Intelligence (ETAI) 2025 conference, the Photonic and Neuromorphic Computing sessions bring together researchers to explore the fusion of low-power optical multiply–accumulate operations with brain-inspired Continue readingPhotonic and Neuromorphic Computing Sessions at SPIE ETAI 2025→ <https://www.neuropac.info/event/photonic-and-neuromorphic-computing-session…> 25 August - 1 September Computational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN³) <https://www.neuropac.info/event/computational-neuroscience-neurotechnology-…> Online We are delighted to invite you to apply to the 5th Computational Neuroscience, Neurotechnology and Neuro-inspired AI (CN³) Summer School, taking place from 25 August to 1 September 2025 at Ulster University, Derry~Londonderry, UK. Continue readingComputational Neuroscience, Neurotechnology and Neuro-inspired AI (ISRC-CN³)→ <https://www.neuropac.info/event/computational-neuroscience-neurotechnology-…> September 2025 2 September - 3 September 4th Cognition and Natural Sensory Processing (CNSP) Workshop <https://www.neuropac.info/event/4th-cognition-and-natural-sensory-processin…> Online We're happy to announce that the 4th Cognition and Natural Sensory Processing (CNSP) Workshop will take place virtually on September 2-3. The workshop will be two days of talks and Continue reading4th Cognition and Natural Sensory Processing (CNSP) Workshop→ <https://www.neuropac.info/event/4th-cognition-and-natural-sensory-processin…> 19 September Neuromorphic Computing Netherlands (NCN2025) <https://www.neuropac.info/event/neuromorphic-computing-netherlands-ncn2025/> TU Delft Prometheusplein 1, Delft, Netherlands We are excited to announce Neuromorphic Computing Netherlands 2025 (NCN2025), a one-day symposium bringing together researchers and professionals working on the future of brain-inspired computing. Continue readingNeuromorphic Computing Netherlands (NCN2025)→ <https://www.neuropac.info/event/neuromorphic-computing-netherlands-ncn2025/> 24 September - 26 September Neuromorphic Symposium 2025 <https://www.neuropac.info/event/neuromorphic-symposium-2025/> Paris, France We are delighted to welcome you to the Neuromorphic Symposium 2025, co-organized by Spin-Ion Technologies and NYU Paris. This international event will bring together researchers, engineers, and industry experts to Continue readingNeuromorphic Symposium 2025→ <https://www.neuropac.info/event/neuromorphic-symposium-2025/> 24 September - 3 October MemrisTec Summer School 2025 <https://www.neuropac.info/event/memristec-summer-school-2025/> Sevilla Sevilla, Spain Welcome to the fourth MemrisTec Summer School which is covering the topics of the research programme Memristive Devices Toward Smart Technical Systems. Memristors are nanoelectric devices capable of storage and computation. Continue readingMemrisTec Summer School 2025→ <https://www.neuropac.info/event/memristec-summer-school-2025/> Click for more Events > <https://www.neuropac.info/calendar/> Resources and Tools <https://github.com/QianpengLi577/Neuromorphic-Processor-paper-list>snnTorch <https://snntorch.readthedocs.io/en/latest/> Jason Eshraghian a Python package designed for spiking neural network simulations and extends PyTorch’s capabilities to spiking neurons, offering pre-designed models within the PyTorch framework.... <https://snntorch.readthedocs.io/en/latest/> <https://spikingjelly.readthedocs.io/zh-cn/latest/index.html#index-en>SpikingJelly <https://spikingjelly.readthedocs.io/zh-cn/latest/index.html#index-en> Wei Fang An open-source deep learning framework designed for Spiking Neural Networks (SNNs) based on PyTorch. It leverages PyTorch’s user-friendly interface and computational capabilities, including GPU acceleration.... <https://spikingjelly.readthedocs.io/zh-cn/latest/index.html#index-en> <https://innatera.com/pulsar>Pulsar <https://innatera.com/pulsar> Innatera Innatera's Pulsar is the first commercially available, brain-inspired microcontroller for sensing at the edge, offering real-time intelligence at microwatt power levels.... Post your own, or look for more Resources and Tools > <https://www.neuropac.info/resources-and-tools/> Neuromorphic World Map <https://www.neuropac.info/resources-3/map/> Check out and add yourself to our neuromorphic world map here <https://www.neuropac.info/resources-3/map/>. More Resources Events Calendar <https://www.neuropac.info/calendar/> Resources and Tools <https://www.neuropac.info/resources-3/resources-and-tools/> Neuromorphic Map <https://www.neuropac.info/resources-3/map/> News and Blogs <https://www.neuropac.info/resources-3/news-and-blogs/> Fellowships <https://www.neuropac.info/fellowships/> Videos <https://www.neuropac.info/video-category/> Books and Journals <https://www.neuropac.info/resources-3/books/> Jobs <https://www.neuropac.info/jobs/> Home <https://www.neuropac.info/>

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Postdoc position in accelerator design for computational neuroscience
by Jakob Jordan 01 Jul '25

01 Jul '25

Dear all, We are inviting applications for a postdoc position in accelerator design for computational neuroscience and asynchronous digital hardware as part of a joint project between the Neuro-inspired Theory, Modeling and Applications (NeuroTMA) Lab led by Mihai A. Petrovici at the University of Bern, Switzerland, and the Asynchronous VLSI and Architecture (AVLSI) Lab led by Rajit Manohar at Yale University, USA. The NeuroTMA Lab focuses on biologically inspired models of spatio-temporal processing in recurrent cortical networks and their relation to reinforcement learning, Bayesian computing, and neuromorphic implementations. The AVLSI Lab conducts research on semantics, design methodologies, and architectures for asynchronous systems with the goal of designing and implementing efficient and programmable computation structures. The project will develop an accelerator for the simulation of cortical models of processing and learning. You can find more details about the position at https://physiologie.unibe.ch/Positions/NSFSNSFjobadpostdoc.pdf Please feel free to share with anyone else you think would be a good fit for this opportunity! Best, Jakob

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