We are looking for expressions of interest for 3 postdoc/postgraduate researchers at Department of Information Engineering, University of Padova.
For any inquiries, feel free to contact me @ gianantonio.susto@unipd.it
Position #01/#02
The iNest project (spoke 5 https://www.consorzioinest.it/en/smart-and-sustainable-environments-2/) aims at developing solutions and methodologies for human-centric and sustainable factories and workplaces.
Number of openings: 2 (‘Research Grant’/'Assegno di Ricerca')
Duration: 12 months
Starting date: from 1st of September 2024 to the 1st of January 2025
Topics: Deep Learning, Explainable Artificial Intelligence, Machine Learning-based Anomaly/Fault Detection, Predictive Maintenance, Reinforcement Learning, Virtual/Soft Sensing. Research activities may be developed in collaborations with industrial partners.
Advisor: Prof. Gian Antonio Susto
Required qualifications: (i) M.Sc./Ph.D. with focus on Control Systems and/or Machine Learning-related topics; (ii) Good programming skills with prior expertise in Python.
Preferred qualifications: Prior expertise with the aforementioned topics (especially Explainable Artificial Intelligence and Reinforcement Learning).
Annual salary: € 19367 (gross - 'RAL')
Position #03
"Artificial Intelligence for the Industrial transition towards sustainability: combination of AI in Life Cycle Assessment studies"
Climate change and its negative environmental, economic, and social consequences require industries to adopt innovative solutions capable of guiding them towards sustainable and competitive development. The urgency is such that it is necessary to develop new tools to support companies in the green transition more quickly and effectively. The methodology that has emerged as the most authoritative in this context is Life Cycle Assessment (LCA), which, however, still has several limitations related to the enormous amount of data that needs to be collected, the costs of its implementation, and the reliability of the results for decision-making purposes.
The research grant intended to be announced under the title "Artificial Intelligence for the Industrial transition towards sustainability," also through real applications in case studies, through the investigation of possible integrations and applications of AI and LCA, aims to lay the groundwork for overcoming these limitations.
Number of openings: 1 (‘Research Grant’/'Assegno di Ricerca')
Duration: 12 months
Starting date: from 1st of September 2024 to the 1st of January 2025
Topics: Deep Learning, Explainable Artificial Intelligence, Machine Learning-based Anomaly/Fault Detection, Predictive Maintenance, Reinforcement Learning, Virtual/Soft Sensing. Research activities may be developed in collaborations with industrial partners.
Advisors: Prof. Gian Antonio Susto, Prof. Alessandro Manzardo
Required qualifications: (i) M.Sc./Ph.D. with focus on Control Systems and/or Machine Learning-related topics; (ii) Good programming skills with prior expertise in Python.
Preferred qualifications: Prior expertise with the aforementioned topics.
Annual salary: € 19367 (gross - 'RAL')
