Postdoctoral position focusing on modelling electrical stimulation in V1 and neuro-prosthetic system design. ***NEW***
Charles University, Prague, Czech Republic
We're pleased to announce a postdoctoral position within the Computational Systems Neuroscience Group (CSNG) at Charles University, Prague, focusing on computational neuroscience and neuro-prosthetic system design. CSNG is an international, interdisciplinary research group that explores the intricacies of the visual system, sensory coding, and neuro-prosthetic solutions. To apply, send: Detailed CV and cover letter explaining your interest and how your skills align with our project to: antolikjan@gmail.com….
Closing date: Open until filled. Earliest start 1.1.2024
Senior Research Fellow (Embodied Machine Intelligence) ***NEW***
Sheffield Hallam University, Sheffield, United Kingdom
As a Senior Research Fellow, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student’s research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks…
Closing date: 17 Sept 2023
Research Fellow (Neuromorphic Robotics) ***NEW***
Sheffield Hallam University, Sheffield, United Kingdom
4 years funded by the Horizon Europe project PRIMI, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the create more capable interactive robots with advanced abilities through efficient computation, high cognition, and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. Prototypes will be used in stroke rehabilitation studies. The research fellow will carry out independent research as required by the project, guarantee the delivery of the research objectives, including the implementation of the research tasks, prepare high-quality scientific outputs, present, and organise international events….
Closing date: 17 Sept 2023
Research technician at RUG Bio-inspired Circuits and Systems
University of Groningen, Groningen, the Netherlands
Join the Bio-inspired Circuits & Systems research group, in collaboration with CogniGron, as a dedicated Research Technician. This role involves providing support to research projects while overseeing the operations of our electrical laboratory. Focus will be on assisting with electrical characterizations of neuromorphic chips. You'll take charge of designing, refining, and assessing test stations and methodologies within the lab environment. Moreover, you'll be managing our lab resources, including setting up and maintaining laboratory equipment such as ASICs, PCBs, oscilloscopes, and soldering equipment. Your responsibilities will extend to educational endeavors, including guiding, training, and offering assistance to fellow researchers and students….
Closing date: September 22nd, 2023
PhD student in Neurmorphic Enbineering
International Centre for Neuromorphic Systems, Sydney, Australia
ICNS is looking to grow and develop a broad scope of academic backgrounds and study areas to create the next generation of neuromorphic systems. We have up to 10 PhD scholarship positions now available. Our research areas cater not only to engineers and computer science graduates, but projects may be tailored for those who have an interest in using their physics or maths backgrounds in our neuromorphic projects….
Closing date: Now until positions filled
PhD student on resource-efficient deep learning for raw audio
LS2N, CNRS, Nantes, France
Our research hypothesis is that learnable audio frontends need multi-resolution approximations (MRA) to be frugal, both in terms of material resources and human annotation workload. More precisely, we posit that a 1-D convolutional network (convnet) may be “compressed” into a smaller model, named MuReNN. The key idea behind MuReNN is to convolve learnable operators (FIR filters) with non-learnable ones (wavelets) so as to expand the receptive field of the learned representation without aliasing artifacts. From a methodological standpoint, MuReNN aims to invent a “best-of-both-worlds” between time-frequency analysis and deep neural networks: i.e., mathematics-driven like the former and data-driven like the latter. Indeed, MuReNN can be interpreted in two ways: as a scattering transform whose wavelets are learnable or as a convnet whose kernels are wavelet-like. From an application standpoint, MuReNN aims to contribute to the ongoing diversification of machine listening systems: i.e., not just speech and music, but also sounds from cities, wildlife, factories, and the human body. The “flagship” application of MuReNN is the sustainable design of a solar-powered acoustic sensor network for biodiversity monitoring in an offshore wind farm….
Closing date: negotiable start date between Oct ’23 and Oct ’24
PhD student in hardware-algorithm co-design for neuromorphic computing
Delft University of Technology, Delft, NL
For neuromorphic engineering to really deliver an efficiency advantage compared to conventional approaches, a clear and actionable framework is still missing. In this position, you will tackle this challenge by looking into the brain's computational primitives at an abstraction level that is higher than individual neurons and synapses. The neocortex is a place full of fascinating mechanisms waiting to be mapped onto silicon, an exploration that you will efficiently guide with the help of modern machine learning frameworks….
Closing date: August 2nd or until positions are filled
PhD student in neuro-inspired learning rules for neuromorphic computing
Delft University of Technology, Delft, NL
In this position, you will investigate the use of a Bayesian machine learning framework to understand and engineer neuroscience-inspired learning rules, from which you will then design your own hardware. For this interdisciplinary position, background in machine learning *or* hardware design is expected, and you'll ramp up with the part you are least fluent about during the first year of the position (all relevant courses are taught at TU Delft)….
Closing date: August 2nd or until positions are filled
Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting)
City University of Hong Kong
There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong. The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art….
Closing date: When positions are filled
Charles University, Prague, Czech Republic
We're pleased to announce a postdoctoral position within the Computational Systems Neuroscience Group (CSNG) at Charles University, Prague, focusing on computational neuroscience and neuro-prosthetic system design. CSNG is an international, interdisciplinary research group that explores the intricacies of the visual system, sensory coding, and neuro-prosthetic solutions. To apply, send: Detailed CV and cover letter explaining your interest and how your skills align with our project to: antolikjan@gmail.com….
Closing date: Open until filled. Earliest start 1.1.2024
Senior Research Fellow (Embodied Machine Intelligence) ***NEW***
Sheffield Hallam University, Sheffield, United Kingdom
As a Senior Research Fellow, you are expected to work alongside the scientific coordinator of the PRIMI project, Prof. Di Nuovo, and support him in the high-level management of the project activities. It will also be your responsibility to carry out independent research as required by the project and provide leadership and support to the other staff, along with the supervision of a PhD student’s research on the topics of the PRIMI project. It will be your responsibility to guarantee the delivery of research objectives, including the day-to-day management and implementation of the research tasks…
Closing date: 17 Sept 2023
Research Fellow (Neuromorphic Robotics) ***NEW***
Sheffield Hallam University, Sheffield, United Kingdom
4 years funded by the Horizon Europe project PRIMI, led by Professor Alessandro Di Nuovo (scientific coordinator). The project aims to create the create more capable interactive robots with advanced abilities through efficient computation, high cognition, and autonomy, by synergistically combining interdisciplinary research development in neurophysiology, psychology, machine intelligence, cognitive mechatronics, neuromorphic engineering, and humanoid robotics. Prototypes will be used in stroke rehabilitation studies. The research fellow will carry out independent research as required by the project, guarantee the delivery of the research objectives, including the implementation of the research tasks, prepare high-quality scientific outputs, present, and organise international events….
Closing date: 17 Sept 2023
Research technician at RUG Bio-inspired Circuits and Systems
University of Groningen, Groningen, the Netherlands
Join the Bio-inspired Circuits & Systems research group, in collaboration with CogniGron, as a dedicated Research Technician. This role involves providing support to research projects while overseeing the operations of our electrical laboratory. Focus will be on assisting with electrical characterizations of neuromorphic chips. You'll take charge of designing, refining, and assessing test stations and methodologies within the lab environment. Moreover, you'll be managing our lab resources, including setting up and maintaining laboratory equipment such as ASICs, PCBs, oscilloscopes, and soldering equipment. Your responsibilities will extend to educational endeavors, including guiding, training, and offering assistance to fellow researchers and students….
Closing date: September 22nd, 2023
PhD student in Neurmorphic Enbineering
International Centre for Neuromorphic Systems, Sydney, Australia
ICNS is looking to grow and develop a broad scope of academic backgrounds and study areas to create the next generation of neuromorphic systems. We have up to 10 PhD scholarship positions now available. Our research areas cater not only to engineers and computer science graduates, but projects may be tailored for those who have an interest in using their physics or maths backgrounds in our neuromorphic projects….
Closing date: Now until positions filled
PhD student on resource-efficient deep learning for raw audio
LS2N, CNRS, Nantes, France
Our research hypothesis is that learnable audio frontends need multi-resolution approximations (MRA) to be frugal, both in terms of material resources and human annotation workload. More precisely, we posit that a 1-D convolutional network (convnet) may be “compressed” into a smaller model, named MuReNN. The key idea behind MuReNN is to convolve learnable operators (FIR filters) with non-learnable ones (wavelets) so as to expand the receptive field of the learned representation without aliasing artifacts. From a methodological standpoint, MuReNN aims to invent a “best-of-both-worlds” between time-frequency analysis and deep neural networks: i.e., mathematics-driven like the former and data-driven like the latter. Indeed, MuReNN can be interpreted in two ways: as a scattering transform whose wavelets are learnable or as a convnet whose kernels are wavelet-like. From an application standpoint, MuReNN aims to contribute to the ongoing diversification of machine listening systems: i.e., not just speech and music, but also sounds from cities, wildlife, factories, and the human body. The “flagship” application of MuReNN is the sustainable design of a solar-powered acoustic sensor network for biodiversity monitoring in an offshore wind farm….
Closing date: negotiable start date between Oct ’23 and Oct ’24
PhD student in hardware-algorithm co-design for neuromorphic computing
Delft University of Technology, Delft, NL
For neuromorphic engineering to really deliver an efficiency advantage compared to conventional approaches, a clear and actionable framework is still missing. In this position, you will tackle this challenge by looking into the brain's computational primitives at an abstraction level that is higher than individual neurons and synapses. The neocortex is a place full of fascinating mechanisms waiting to be mapped onto silicon, an exploration that you will efficiently guide with the help of modern machine learning frameworks….
Closing date: August 2nd or until positions are filled
PhD student in neuro-inspired learning rules for neuromorphic computing
Delft University of Technology, Delft, NL
In this position, you will investigate the use of a Bayesian machine learning framework to understand and engineer neuroscience-inspired learning rules, from which you will then design your own hardware. For this interdisciplinary position, background in machine learning *or* hardware design is expected, and you'll ramp up with the part you are least fluent about during the first year of the position (all relevant courses are taught at TU Delft)….
Closing date: August 2nd or until positions are filled
Multiple Openings for Post-Doc, Research Assistant and PhD student in Neuromorphic, In-memory computing IC design using SRAM/RRAM (application to LSTM/SNN for Keyword spotting)
City University of Hong Kong
There are multiple openings for Post-doc, Research Assistant and PhD students for a new project on In-memory Computing in the group of Professor Arindam Basu, Department of Electrical Engineering, City University of Hong Kong. The focus of the project will be on in-memory computing implementations of neuromorphic algorithms for the application of LSTM/SNN for Keyword spotting using SRAM with extension to RRAM. In particular, novel In-memory ADC for nonlinear functions will be designed to push the state of the art….
Closing date: When positions are filled
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