Design, validation and deployment of very Low-Power Machine Learning models Smart Glasses

Position: Design, validation and deployment of very Low-Power Machine Learning models for Smart Glasses: [...]
Organisation/Company Politecnico di Milano Research Field Engineering Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Final date to receive applications 3 Apr 2026 - 12:00 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure?

No

Offer Description
The candidate will be involved in the development and implementation of machine learning models on wearable electronic circuits, devices, and platforms, with particular emphasis on smart eyewear. The research activities will address multiple application domains, including embedded electronics, computer vision, audio signal processing, and Human–Computer Interaction (HCI), with specific focus on gesture recognition and multimodal interfaces based on audio signals. These activities will involve the adoption of various neural network architectures, including Convolutional, Artificial, and Spiking Neural Networks and their embedding into electronic platforms such as ARM-CORTEX, RISC-V and others.

The candidate will develop the complete model pipeline (training, optimization, embedding, benchmarking) on resource-constrained systems. Furthermore, she/he will also address the mechanical and power constraints of smart glasses, specifically about sensors, electronics, and batteries.

quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 20 points)

relevance and significance of previous research activities and professional experience in relation to the research program (up to 20 points)

relevance of submitted publications with respect to the research program (up to 10 points)

interview, aimed at assessing the candidate’s research aptitude, their ability to implement the proposed project, and their knowledge of English and/or other relevant languages for the research (up to 50 points)

EUROPE

Eligibility of fellows: country/ies of residence:

All

Eligibility of fellows: nationality/ies:

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