Phd: Design And Simulation Of Reversible Neuromorphic Architectures Jobs in Scugog, Ontario, Canada
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PhD: Design and Simulation of Reversible Neuromorphic Architectures — DC9
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PhD: Design and Simulation of Reversible Neuromorphic Architectures — DC9
E-CoRe Project
Job Description
We welcome applications from all qualified candidates regardless of nationality, ethnic origin, gender, sexual orientation, religion or belief, disability, or age. Selection is open, transparent, and merit-based.
About The E-CoRe Project
E-CoRe (Energy-efficient Computing via Reversibility) is a Horizon Europe project funded under the Marie Skłodowska-Curie Actions Doctoral Networks. The project advances the science and practice of reversible computing for a sustainable digital future, training the next generation of experts to make computing sustainable. Energy is a main concern in society: IT accounts for an estimated 10% of global energy consumption. Reversible computing avoids the fundamental energy lower bound imposed by Landauer's principle by discarding no information. E-CoRe aims to set the stage for the Reversible Computing revolution by forming a community of experts who will improve and popularize reversible languages, algorithms and architectures — in energy-intensive applications such as machine learning, blockchains and drones. For the full project description, see: Project Description.
About the environment: University of Manchester
The University of Manchester is one of the UK's largest research-intensive universities and a member of the prestigious Russell Group. The Department of Computer Science has strong research groups in computer architecture, parallel computing, and systems. Manchester is a major European tech hub with a vibrant innovation ecosystem and excellent transport links.
About The Position Topic
This doctoral position is part of Work Package 3: Compilation & Architectures. The successful candidate will work on Design and Simulation of Reversible Neuromorphic Architectures.
The DC will study the applicability of RC to non-von Neumann architectures, namely neuromorphic systems. In conjunction with DC8, the DC will survey state-of-the-art reversible architectures, focusing on neural simulations and neuromorphic computing. The DC will collaborate on developing the fundamentals of the simulation platform for RC architectures accelerating neural networks simulations and ML applications. The interaction between the standard chiplet and novel reversible neuromorphic accelerators would be the main research topic.
For the full topic description, objectives, expected results, and planned secondments, see: Topic: Design and Simulation of Reversible Neuromorphic Architectures.
MSCA Doctoral Candidate eligibility criteria
To be eligible, you must satisfy all of the following conditions at the date of recruitment:
Doctoral candidate status: You must not hold a doctoral degree. Researchers who have successfully defended their doctoral thesis but have not yet formally been awarded the doctoral degree are not eligible. Mobility rule: You must not have resided or carried out your main activity (work, studies, etc.) in United Kingdom for more than 12 months in the 36 months immediately before the recruitment date. For more information about this refer to this link. Nationality: Researchers of any nationality may apply.
Other Requirements
Master's degree (or equivalent) in computer science, mathematics, electrical engineering, or a closely related field, obtained by the recruitment date. Strong academic record and motivation for doctoral research. Proficiency in written and spoken English. Ability to work in an international, collaborative environment. Willingness to undertake secondments to other project partners as specified in the topic description.
Remuneration
The remuneration is based on the MSCA Doctoral Network researcher allowances
Living allowance: €5,682.17 per month (standard amount of €4,010 per month adjusted by country correction coefficient of the host country to match local cost of living) Mobility allowance: €710 per month Family allowance: €660 per month (if eligible, e.g. researcher with dependent spouse and/or children)
The exact net salary depends on compulsory social security contributions and taxes according to national law, which vary by host country, and may also depend on your personal circumstances, including additional income.
How to apply
Please click on the application link below to submit your application.
Application deadline passed
The application deadline has passed. By submitting, you acknowledge that your application will only be considered if additional places become available or the evaluation committee decides to review late submissions.
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Position details
👨🏫
Supervisors
Luca Peres, Oliver Rhodes (University of Manchester)
🎓
Host institution
University of Manchester
📅
Published
March 16, 2026
⏰
Application deadline
25 May 2026, 23:59 CET
Deadline passed
🏷️
Domains & keywords
Compilation & Architectures Applications Reversible Computing Neuromorphic Computing Machine Learning Neural Networks
← All open positions
About The Position Topic
This doctoral position is part of Work Package 3: Compilation & Architectures. The successful candidate will work on Design and Simulation of Reversible Neuromorphic Architectures.
The DC will study the applicability of RC to non-von Neumann architectures, namely neuromorphic systems. In conjunction with DC8, the DC will survey state-of-the-art reversible architectures, focusing on neural simulations and neuromorphic computing. The DC will collaborate on developing the fundamentals of the simulation platform for RC architectures accelerating neural networks simulations and ML applications. The interaction between the standard chiplet and novel reversible neuromorphic accelerators would be the main research topic.
For the full topic description, objectives, expected results, and planned secondments, see: Topic: Design and Simulation of Reversible Neuromorphic Architectures.
MSCA Doctoral Candidate eligibility criteria
To be eligible, you must satisfy all of the following conditions at the date of recruitment:
Doctoral candidate status: You must not hold a doctoral degree. Researchers who have successfully defended their doctoral thesis but have not yet formally been awarded the doctoral degree are not eligible. Mobility rule: You must not have resided or carried out your main activity (work, studies, etc.) in United Kingdom for more than 12 months in the 36 months immediately before the recruitment date. For more information about this refer to this link. Nationality: Researchers of any nationality may apply.
Other Requirements
Master's degree (or equivalent) in computer science, mathematics, electrical engineering, or a closely related field, obtained by the recruitment date. Strong academic record and motivation for doctoral research. Proficiency in written and spoken English. Ability to work in an international, collaborative environment. Willingness to undertake secondments to other project partners as specified in the topic description.
Remuneration
The remuneration is based on the MSCA Doctoral Network researcher allowances
Living allowance: €5,682.17 per month (standard amount of €4,010 per month adjusted by country correction coefficient of the host country to match local cost of living) Mobility allowance: €710 per month Family allowance: €660 per month (if eligible, e.g. researcher with dependent spouse and/or children)
The exact net salary depends on compulsory social security contributions and taxes according to national law, which vary by host country, and may also depend on your personal circumstances, including additional income.
How to apply
Please click on the application link below to submit your application.
👨🏫
Supervisors
Luca Peres, Oliver Rhodes (University of Manchester)
🎓
Host institution
University of Manchester
📅
Published
March 16, 2026
⏰
Application deadline
25 May 2026, 23:59 CET
Deadline passed
🏷️
Domains & keywords
Compilation & Architectures Applications Reversible Computing Neuromorphic Computing Machine Learning Neural Networks
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About E-CoRe Energy-Efficient Computing via Reversibility
E-CoRe (Energy-efficient Computing via Reversibility) is a European Marie Skłodowska-Curie Doctoral Network (Project 101226672) leading the "RC Revolution" to create a sustainable digital future. Coordinated by the University of Bologna, our consortium of 15 elite academic and industrial partners is rethinking the digital stack to bypass the physical limits of traditional computing. The Challenge: The Landauer Limit IT accounts for approximately 10% of global energy consumption. Conventional computers dissipate heat every time information is erased—a physical constraint known as the Landauer limit. As AI and blockchain demand more power, traditional hardware is hitting a "thermodynamic wall". The Solution: Reversible Computing (RC) RC is the only known way to circumvent this limit. By performing computations that can execute both forward and backward without discarding information, E-CoRe aims to achieve energy savings between 25% and 50% compared to mainstream technologies. Our Full-Stack Research Pillars We are developing the science and technology for energy-critical areas through four pillars: Languages: Moving reversible programming from academic prototypes to industrial-grade tools. Algorithms: Designing energy-efficient data structures and libraries. Architectures: Innovating optimized compilers and adiabatic/neuromorphic hardware simulation. Applications: Validating RC in high-impact domains: Machine Learning (AI accelerators), Blockchains (Proof-of-Work), and Cyber-Physical Systems (Drones). Training Future Leaders We are training 13 Doctoral Candidates (DCs) in a world-class environment featuring international secondments and specialized training in green computing.