Development of Machine Learning Models for IR-Based Eye Tracking - 2026_IDR_DEIB_19

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
Posted on: 10/03/2026 Deadline: 16/04/2026

Scientific-Disciplinary Group

09/IINF-03 - Telecommunications

Description

The research aims to develop an advanced eye-tracking system based on Photo-Reflective Sensor Oculography (PSOG), addressing calibration and cross-user generalization challenges through the use of hypernetworks. PSOG signals are highly sensitive to geometric, anatomical, and illumination variations, which introduce non-stationary shifts and degrade the performance of conventional models. The project proposes the use of hypernetworks to dynamically adapt the parameters of the gaze estimator based on calibration embeddings, reducing calibration complexity. Validation will be conducted on multi-source PSOG datasets with controlled perturbations and diverse operating conditions. The final objective is to achieve a more stable, adaptive, and generalizable PSOG system with fast calibration and robust performance under domain variations.

Job posting website

https://www.polimi.it/en/bandi-incarichidiricerca

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-incarichidiricerca Oral test aimed at ascertaining candidates’ aptitude and suitability to carry out the research activity covered by the Fellowship, as well as at assessing their knowledge of English and/or other languages relevant to the research activities to be performed (up to 60 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 10 points) Relevance and pertinence of previous research activities and work experience, if any, in relation to the research activity covered by the Fellowship (up to 15 points) Relevance and pertinence of their study programme to the research programme covered by the Fellowship (up to 15 points)

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

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