Multimodal Egoaction Recognition on Smart Eyewear Devices - 2026_CDR_DEIB_5

Position: Post-doctoral research contract Institute: Polytechnic of Milano
Posted on: 03/03/2026 Deadline: 03/04/2026

Scientific-Disciplinary Group

09/IINF-05 - Information Processing Systems

Description

The objective of the research program is to study and develop artificial intelligence algorithms for online action recognition and user monitoring using smart eyewear. The research will address the problem by leveraging multiple modalities, integrating different sensing sources such as audio, event-based vision, and inertial measurements, together with user gaze information. Artificial intelligence algorithms will be developed to fuse and interpret these heterogeneous modalities, creating a unified, coherent, and enriched representation of the user’s intent within the context of the surrounding environment. This fusion will enable a better understanding of the usage context and provide this information to potential applications, such as user activity monitoring and support for activities of daily living. The effectiveness of the developed algorithms will be validated in real-world scenarios through the creation of novel benchmarks and datasets. The deployment of these algorithms on emb

Job posting website

https://www.polimi.it/en/bandi-per-contratti-di-ricerca

Number of positions

1

Funding body

Politecnico di Milano

How to apply

https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=1079

Selection process

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In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it/en/bandi-per-contratti-di-ricerca quality, originality, and innovation of the research proposal, with reference to the research program covered by this selection (up to 30 points) relevance and significance of previous research activities and professional experience in relation to the research program (up to 10 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)

View the original posting on the MUR website: Go to MUR website

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