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Benoit Gosselin
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Postdoctoral Fellowship in Analog Integrated Circuits and TinyML for an Optical Spinal Implant Université Laval in Canada
Degree Level
Postdoc
Field of study
Computer Science
Funding
Available
Deadline
Dec 25, 2026
Country
Canada
University
Université Laval
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About this position
Professor Benoit Gosselin’s Smart Biomedical Microsystems Laboratory at Université Laval is recruiting a postdoctoral fellow for the Optical Spinal Implant (OSI) program, a large multidisciplinary neurotechnology effort focused on chronic pain.
The project centers on the development of a miniaturized, intelligent optical spinal implant that combines cell-specific optogenetic stimulation, fluorescence-based neural sensing, ultra-low-power integrated circuits, embedded intelligence, and wireless communication. The goal is precise, adaptive, closed-loop modulation of spinal circuits involved in neuropathic and nociceptive pain.
The fellow will contribute to the co-design of the implant’s intelligent microelectronic system at the intersection of analog/mixed-signal ASIC design and embedded TinyML. The work includes low-noise photodiode interfaces, signal conditioning, data conversion, stimulation and power-management circuits, and the digital blocks needed to process and interpret signals. In parallel, the project involves developing and deploying machine-learning models under severe memory, computation, latency, and energy constraints.
Research activities span the full hardware-to-system pipeline: circuit simulation and verification, hardware-algorithm co-simulation, tape-out, bench characterization, and integration of the analog chain with TinyML engines, flexible circuitry, LEDs, photodiodes, and a UWB link. Depending on project needs, the fellow may also contribute to evaluating wireless power-transfer solutions.
The position sits within a major collaborative research alliance bringing together expertise in microelectronics, neuroscience, optogenetics, wireless technologies, and preclinical research across multiple Canadian universities and partner organizations.
Funding details
Available
What's required
Applicants should hold a PhD in electrical engineering, microelectronics, computer engineering, or a closely related field, completed or near completion by the start date. The ideal candidate will have demonstrated expertise in analog or mixed-signal CMOS integrated circuit design, including simulation and verification and ideally silicon characterization, together with experience in machine learning, signal processing, and model deployment on embedded platforms. Strong scientific programming skills are required, as well as the ability to conduct hardware-algorithm co-design, produce reproducible results, publish research, mentor students, and collaborate in an interdisciplinary team. Preferred assets include experience with Cadence Virtuoso and an analog/mixed-signal ASIC flow, Python and machine-learning frameworks such as PyTorch or TensorFlow, and quantization, code-generation, or TinyML deployment tools. Knowledge of low-signal sensor interfaces, data converters, accelerator architectures, biomedical signal processing, bioinstrumentation, optoelectronics, or RF/UWB systems is an additional asset. English proficiency is required at a good level and French at a basic level.
How to apply
Apply by email to [email protected]. Use the position title as the email subject and follow any instructions provided in the advert and linked project page. No portal is listed; the email application is the indicated contact route.
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Professors
Professor at Université Laval
Canada
Research Interests
Wireless Communication
Bioelectronics
Analog Electronics
Ml
Low-power Electronics
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