PhD Researcher in In-Memory Computing for AI

Position @ AI Square CorpPhD Student, In-Memory Computing Architectures for AIThe project aims to explore the potential benefits of In-Memory Computing (IMC) in addressing the performance bottlenecks of AI hardware. IMC is proposed to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project targets exploring...

Position @ AI Square CorpPhD Student, In-Memory Computing Architectures for AIThe project aims to explore the potential benefits of In-Memory Computing (IMC) in addressing the performance bottlenecks of AI hardware. IMC is proposed to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project targets exploring...

Position @ AI Square CorpPhD Student, In-Memory Computing Architectures for AIThe project aims to explore the potential benefits of In-Memory Computing (IMC) in addressing the performance bottlenecks of AI hardware. By leveraging digital IMC, we aim to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project focuses...

Position @ AI Square CorpPhD Student, In-Memory Computing Architectures for AIThe project aims to explore the potential benefits of In-Memory Computing (IMC) in addressing the performance bottlenecks of AI hardware. By leveraging digital IMC, we aim to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project focuses...

Position at AI Square CorpThe project aims to explore the potential of In-Memory Computing (IMC) to address AI hardware bottlenecks. IMC is proposed to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project targets exploring unconventional computing domains, such as Stochastic and Quasi-Stochastic, for...

Position at AI Square CorpPhD Student in In-Memory Computing Architectures for AIThe project aims to explore the potential benefits of In-Memory Computing (IMC) in addressing the performance bottlenecks of AI hardware. Digital IMC is proposed to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project targets...

Position at AI Square CorpPhD Student, Software Modelling/Optimization for AI Computing ArchitecturesWe are seeking a highly skilled PhD student to join our team at AI Square Corp, focusing on software modelling and optimization for AI computing architectures. The successful candidate will contribute to the development of Python-based libraries for training...

Position at AI Square CorpPhD Student, Software Modelling/Optimization for AI Computing ArchitecturesWe are seeking a highly skilled PhD student to join our team at AI Square Corp, focusing on software modelling and optimization for AI computing architectures. The successful candidate will contribute to the development of Python-based libraries for training...

Position at AI Square CorpWe are seeking a highly skilled PhD Student to join our team at AI Square Corp, working on Software Modelling/Optimization for AI Computing Architectures. The successful candidate will be part of a project exploring the potential benefits of employing software optimization techniques for modelling and training Large Language Models...

Position at AI Square CorpWe are seeking a highly skilled PhD Student to join our team at AI Square Corp, working on Software Modelling/Optimization for AI Computing Architectures. The successful candidate will be part of a project exploring the potential benefits of employing software optimization techniques for modelling and training Large Language Models...

Position at AI Square CorpWe are seeking a highly skilled PhD Student to join our team at AI Square Corp, focusing on Software Modelling and Optimization for AI Computing Architectures.The project aims to explore the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a specific focus...

Position @ AI Square CorpThe project aims to explore the potential of In-Memory Computing (IMC) to address AI hardware bottlenecks. IMC is proposed to bridge the Von-Neumann performance gap for AI applications with massive data workloads. The project targets exploring unconventional computing domains, such as Stochastic and Quasi-Stochastic, for IMC.Previous...

Position @ AI Square CorpThe project aims to bridge the performance gap for AI applications by exploring the potential of In-Memory Computing (IMC) to target bottlenecks in AI hardware. IMC is proposed to bridge the Von-Neumann performance gap for AI applications where massive data workloads are consumed. The project targets exploring different...

Position at AI Square CorpThe goal of this project is to explore the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a specific focus on Transformers, targeting various unconventional hardware architectures and computing domains (Binary, Analog, Bitstream).Key...

Position at AI Square CorpThe goal of this project is to explore the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a specific focus on Transformers, targeting various unconventional hardware architectures and computing domains (Binary, Analog, Bitstream).Key...

Position @ AI Square CorpThe goal of this project is to explore the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a focus on Transformers, targeting various unconventional hardware architectures and computing domains (Binary, Analog, Bitstream).Key Responsibilities:Develop...

Position @ AI Square CorpThe goal of this project is to explore the potential benefits of employing software optimization techniques for modelling and training Large Language Models (LLMs), with a focus on Transformers, targeting various unconventional hardware architectures and computing domains (Binary, Analog, Bitstream).Key Responsibilities:Develop...

Job DescriptionWe are seeking a highly motivated and talented PhD researcher to join our team at the National Quantum Computing Centre. The successful candidate will have the opportunity to work on cutting-edge research projects in quantum computing, developing innovative solutions to real-world problems.Key ResponsibilitiesConduct research in quantum...

PhD Positions in AI Verification and SafetyWe are seeking highly motivated PhD students to join our research team in the area of AI verification and safety. Our goal is to develop novel methods and techniques for ensuring the reliability and trustworthiness of AI systems.Candidates with a strong background in computer science, mathematics, or a related field...

Quantum Computing PhD OpportunityWe are seeking highly motivated and talented individuals to join our team as PhD researchers in quantum computing at the National Quantum Computing Centre. As a PhD researcher, you will be part of an interdisciplinary cohort working on cutting-edge research projects in quantum computing, software development, and mathematical...