Industrial IoT and New Skills: The Evolution of Connected Factories Across Digital Technologies, Organizational Change, and Human Capital Development - 2026_IDR_DIG_43

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
Posted on: 27/04/2026 Deadline: 25/05/2026

Scientific-Disciplinary Group

09/IIND-05 - Industrial Mechanical Plants

Description

The Research examines the adoption and impact of Industrial IoT across manufacturing, logistics, and maintenance, exploring the benefits, skills, and organizational models that enable the transformation toward connected factories. The objectives of the Research are to: - Analyze the level of adoption and maturity of Industrial IoT solutions within industrial settings, both nationally and internationally; - Investigate the main application areas of Industrial IoT in production, logistics, and maintenance processes; - Identify the benefits generated by the integration of connectivity, data, and automation in industrial transformation initiatives; - Understand the new technical, managerial, and organizational skills companies need to fully leverage the potential of Industrial IoT; - Monitor the evolution of organizational models and upskilling and reskilling initiatives required to support the transition toward connected factories.

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 70 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 5 points)

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

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