PhD on Energy-Efficient Online Learning Using Compute-in-Memory Architectures
PhD on Energy-Efficient Online Learning Using Compute-in-Memory Architectures
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Job Description
Departments Department of Electrical Engineering
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
The mission of the Department of Electrical Engineering is to acquire share and transfer knowledge and understanding in the whole field of Electrical Engineering through education research and valorization. We work towards a Smart Sustainable Society a Connected World and a healthy humanity (Care & Cure). Activities share an application-oriented character a high degree of complexity and a large synergy between multiple facets of the field.
Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.
The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.
Introduction
This PhD project part of the REACT MSCA Doctoral Network aims to develop an energy-efficient compute-in-memory (CIM) architecture using gain-cell memory for real-time edge learning addressing power latency and memory bandwidth issues with reliable fault detection.
Job Description
Self-awareness in humans is an innate capability arising from the brains ability to process a multitude of sensory inputs. Emulating this functionality in electronic systems commonly referred to as neuromorphic computing holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications from autonomous vehicles to smart navigation systems. However realizing neuromorphic computing in practice presents significant challenges particularly in the areas of energy efficiency reliability and security.
The REACT Marie Skodowska-Curie Actions (MSCA) Doctoral Network addresses the above mentioned challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption secure operation and system reliability.
Are you enthusiastic about the opportunity to join the REACT Doctoral Network be involved in impactful research whilst providing your career an international perspective and boost
As part of the REACT initiative 15 early-stage researchers (ESRs) will be trained through a comprehensive interdisciplinary program spanning material science device physics computer architecture hardware prototyping compiler design simulation and emulation tools as well as cybersecurity reliability and system verifiability.
The objective of this PhD project is to develop a gain-cell memory-based compute-in-memory (CIM) architecture to enable energy-efficient online learning at the edge. Conventional edge devices are limited by constraints in power latency and memory bandwidth which pose significant challenges to real-time learning when using traditional von Neumann architectures. By leveraging gain-cell memory which offers high density and low leakage and integrating mixed-signal computation directly into memory arrays the proposed approach significantly reduces data movement and energy consumption. To ensure dependable operation under real-world conditions efficient fault detection and recovery mechanisms will also be evaluated and integrated addressing the susceptibility of analog and in-memory computing to noise process variation and soft errors. The primary objective is to design a CIM system capable of performing key learning operations such as vector-matrix multiplication and weight updates within the memory itself thereby enhancing energy efficiency and computational throughput. This architecture will be optimized for lightweight adaptive learning tasks commonly encountered in edge scenarios such as sensor fusion.
REACT offers a uniquely structured training environment combining academic excellence with industrial collaboration. ESRs will benefit from close mentorship by leading researchers and industry experts while also developing essential skills in scientific writing research ethics time management and entrepreneurship. By the conclusion of the REACT project participants will be well-equipped to pursue impactful careers across academia and industry with the REACT program serving as a strong foundation for their future success. More information about the project can be found here Requirements A meaningful job in a dynamic and ambitious university in an interdisciplinary setting and within an international network. You will work on a beautiful green campus within walking distance of the central train addition we offer you: Do you recognize yourself in this profile and would you like to know more Please contact the hiring manager Dr. Manil Dev Gomony (). Visit our website for more information about the application process or the conditions of employment. You can also contact Kevin Caris HR Advisor ( or). Are you inspired and would like to know more about working at TU/e Please visit our career page. Interested candidates should submit the following documents online through the application link in this website and concurrently at the application portal in the project website clearly written cover letter (maximum one page) explaining your motivation for applying. We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.Conditions of Employment
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