PhD Positions in AI Verification

PhD Opportunities in AI VerificationWe are pleased to announce the launch of a new PhD training program in collaboration with Heriot-Watt and Edinburgh Universities. The program focuses on "Dependable and Deployable AI for Robotics" and welcomes applications from candidates interested in verification of AI.Candidates with a strong background in verification...

PhD Opportunities in AI VerificationWe are pleased to announce the launch of a new PhD training program in collaboration with Heriot-Watt and Edinburgh Universities. The program focuses on "Dependable and Deployable AI for Robotics" and welcomes applications from candidates interested in verification of AI.Candidates with a strong background in verification...

PhD Opportunities in AI VerificationWe are pleased to announce the launch of a new PhD training program in collaboration with Heriot-Watt and Edinburgh Universities. The program focuses on "Dependable and Deployable AI for Robotics" and welcomes applications from candidates interested in verification of AI.Candidates with a strong background in verification...

PhD Opportunities in AI Verification and RoboticsWe are launching a new PhD training program in collaboration with Heriot-Watt and Edinburgh Universities, focusing on "Dependable and Deployable AI for Robotics". Our research aims to extend the applicability, scalability, and usability of verification and certification methods for deploying robotic and...

PhD Opportunities in AI VerificationWe are pleased to announce a new PhD training program in collaboration with Heriot-Watt University and the University of Edinburgh. This program focuses on the verification of artificial intelligence for robotics, with a strong emphasis on dependability and deployability.The UKRI AI Centre for Doctoral Training in...

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...

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. 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 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 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 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 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...