Cotutelle PhD

Université de Sherbrooke; Canada; On-site; CAD 60,000 - 80,000; Full time

Job summary

A University in Canada is offering a joint PhD position focusing on neuromorphic computing and brain-computer interfaces. The role emphasizes contributions to technologies aimed at restoring movement and communication for individuals with disabilities, with opportunities for collaboration across major research hubs. Ideal candidates will have a strong background in electrical or computer engineering, along with programming and testing skills in both analog and digital environments. Knowledge of machine learning is an asset. Candidates are invited to apply by sending their CV and cover letter.

Qualifications

• Strong background in electrical engineering, computer engineering, or a related field.
• Advanced skills in programming and testing in analog and digital environments.
• Knowledge of machine learning, neuromorphic computing, or embedded systems (asset).
• Familiarity with biotechnology or neuroscience (asset).
• Excellent communication, adaptability, and organizational skills essential for managing a cotutelle program.

Responsibilities

• Build next generation action potential sorting algorithms.
• Collaborate between Sherbrooke and Lille for research.
• Contribute to research with high societal, technological, and scientific impact.

Skills

Electrical engineering

Computer engineering

Machine learning

Programming skills

Testing in analog and digital environments

Adaptability

Organizational skills

Biotechnology knowledge

Neuroscience familiarity

Education

PhD in Electrical Engineering or related field

Job description

Interdisciplinary Institute for Technological Innovation (3IT)

Organisation/Company Université de Sherbrooke Department Interdisciplinary Institute for Technological Innovation (3IT) Research Field Engineering » Electrical engineering Physics » Electronics Mathematics » Algorithms Researcher Profile First Stage Researcher (R1) Positions PhD Positions Application Deadline 31 May 2026 - 00:00 (America/Toronto) Country Canada Type of Contract Temporary Job Status Full-time Hours Per Week 37 Offer Starting Date 1 Jun 2026 Is the job funded through the EU Research Framework Programme? Other EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The Université de Sherbrooke and the University of Lille are offering an exceptional joint PhD position at the crossroads of #neuromorphiccomputing, brain–computer interfaces (BCI), and hybrid hardware architectures (FPGA / ASIC).

👉 A unique opportunity to contribute to technologies capable of restoring movement and communication for people living with disabilities.

🧠 Why is this project extraordinary?
Current BCI systems generate astronomical amounts of data that are difficult to process in real time and extremely energy‑hungry.
This PhD aims to change the game thanks to neuromorphic computing—an approach inspired by the human brain that is:
✔️ ultra‑fast
✔️ energy‑efficient
✔️ ideally suited for future embedded medical devices

You will work on NSS — Neuromorphic Spike Sorting, a technology already validated in simulation and tested on advanced neuromorphic hardware (Loihi 2).

The goal?

👉 To implement it on a hybrid analog + digital platform developed at 3IT, combining the best of CMOS/memristive circuits and #FPGA architectures.

What you will accomplish

• Build the next generation of action potential (spike) sorting algorithms.
• Collaborate between Sherbrooke and Lille, two major hubs in micro‑nanotechnologies and neuroscience.
• Contribute to research with high societal, technological, and scientific impact.

A stimulating research environment

You will evolve within:

• Lille Neuroscience & Cognition, University of Lille

An ecosystem that blends innovation, interdisciplinarity, and strong support for student research.

Desired profile

• a strong background in electrical engineering, computer engineering, or a related field
• advanced skills in programming and testing in analog and digital environments
• knowledge of machine learning, neuromorphic computing, or embedded systems (asset)
• familiarity with biotechnology or neuroscience (asset)
• excellent communication, adaptability, and organizational skills, essential for managing a cotutelle program

Ready to help shape the future of BCIs?

Send your CV, cover letter, and postsecondary transcripts to: [e-mail]

Languages: French – Good

Languages: English – Good

Research Field Engineering » Electrical engineering

Additional Information

Work Location(s)

Number of offers available 1 Company/Institute Université de Sherbrooke , Sherbrooke, Canada (QC) Country Canada State/Province All City Sherbrooke, Québec, Canada Geofield