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E-CoRe Project

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-productive 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.

Apply after deadline

Position details

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Supervisors

Luca Peres, Oliver Rhodes (University of Manchester)

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Host institution

University of Manchester

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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

📌 PhD: Design and Simulation of Reversible Neuromorphic Architectures — (Scugog)
🏢 E-CoRe Energy-Efficient Computing via Reversibility
📍 Scugog