Development of Machine Learning Methods for Real-World Applications - 2026_IDR_DEIB_50

Position: Research appointment (pre-doc) Institute: Polytechnic of Milano
Posted on: 09/07/2026 Deadline: 01/09/2026

Scientific-Disciplinary Group

09/IINF-05 - Information Processing Systems

Description

The position requires developing and implementing machine learning models designed to operate effectively in real-world environments and production settings. The tasks will include analysing complex datasets, optimising model performance, and ensuring robustness, scalability, and reliability under practical constraints. The development will be done in collaboration with multidisciplinary teams to translate business and/or research needs into AI solutions. Finally, it will necessitate monitoring, validating, and continuously improving deployed models while addressing challenges such as data quality, uncertainty, and changing operating conditions.

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

Click to expand
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 50 points) Relevance and pertinence of the publications, theses and scientific products attached to the research programme covered by the Fellowship (up to 15 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 20 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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