Study and do research with us

WE ARE RECRUITING! 

Please consider the following opportunities:

RESEARCH ASSOCIATE (Ricercatore Tempo Determinato di tipo A – RTDA)

Title: Development of innovative methodologies and models for the reliability, safety, resilience and maintenance analysis, and algorithms for fault diagnostics and prognostics, with application to energy production, transmission and distribution systems

With possibility of tenure track!

Call description: https://www.polimi.it/en/faculty-and-staff/calls-and-competitions/calls-and-competitions-for-researchers/competitions-for-temporary-positions/ starting from May 8, 2021

Closing date: June 6, 2021 


POSTDOC within the MSCA – European Individual Fellowship Programme (https://www.polimi.it/en/faculty-and-staff/calls-and-competitions/call-for-msca-pf-master-class-2021-polimi/)

Title: Deep Neural Network and Transfer Learning-based predictive analytics for the “4.0 revolution” of the energy sector in the big data era

Project proposal available at https://www.polimi.it/fileadmin/user_upload/Lavora-con-noi/MSCA_PF_Master_Class/2021/ENG/SCHEDA_Supervisor_Expression_of_interest_2021_Zio_DENG.pdf

Call description:  https://www.polimi.it/en/faculty-and-staff/calls-and-competitions/call-for-msca-pf-master-class-2021-polimi/

Closing date: May 30, 2021


PhD POSITION

Research Field: Safety and risk analysis 

Call descriptionhttp://www.dottorato.polimi.it/fileadmin/files/dottorato/concorso_linkweb/Bando_ENG.pdf

On-line Application: https://aunicalogin.polimi.it/aunicalogin/getservizio.xml?id_servizio=546&lang=EN

Closing date: May 20, 2021


MASTER THESES

Theses with international collaborations:

Theses on risk and resilience assessment of complex systems and critical infrastructures:

Modeling the Competing Diffusion of Information vs Disinformation and Resulting Infrastructure Impacts (with University of Oklahoma, USA)

Identifying Relationships Between Information and Physical Layers with Signal Analysis (with University of Oklahoma, USA) 

Advanced methods of dynamic risk assessment for energy systems (with Leibniz University of Hannover, Germany)

Extended Survival Signature Approach for Multi-state Systems (with Leibniz University of Hannover, Germany)

Advanced Monte Carlo simulation for efficient approximation of the survival signature (with Leibniz University of Hannover, Germany)

Semi-Supervised Class-Imbalance Learning for Identifying Rare Events (with University of Windsor, Canada)

 

Theses on reliability assessment:

Advanced Monte Carlo simulation for efficient dynamic reliability assessment of polymer electrolyte membrane fuel cell systems (with Leibniz University of Hannover, Germany)

Development and implementation of Tools for the Availability and Reliability Assessment of the CERN Complex Technical Infrastructure Systems (with CERN, Switzerland)

 

Theses on Prognostics and Health Management for Predictive Maintenance:

Uncertainty-driven AI methods for Prognostics and Health Management (with ETH Zurich, Switzerland)

Development of State-of-Health Indicators for Researchable Batteries Using Deep-Transfer Learning Methods (with Ecole Polytechnique, France)

Development of Tools for the Anomaly Detection, Fault Prognosis and Remaining Useful Lifetime of the CERN Complex Technical Infrastructure Components (with CERN, France)

Design, development and deployment of a computer-aided platform for the identification and classification of defects in digital images (with CERN, Switzerland)

Deep Transfer Learning Methods for Prognostics and Health Management (PHM) of Batteries (with Tsinghua University, China)

Development of methods for prognostics and health management of electronic components (within the IRel4.0 European Project)

 

Theses with industrial partners:

Theses on risk and resilience assessment of complex systems and critical infrastructures:

Electrical network resilience (with ARAMIS Srl, Italy)

 

Theses on reliability assessment:

Application du « model-based system engineering » (MBSE) aux études de fiabilité-disponibilitémaintenabilité (with ALSTOM, France)

 

Theses on Prognostics and Health Management for Predictive Maintenance:

Train Diagramming (with ARAMIS Srl, Italy)

PHM impact on Life Cycle Cost Analysis (with ARAMIS Srl, Italy)

 

Other:

Development of machine learning techniques for data-driven DWIM systems (with ARAMIS Srl, Italy)

 

Theses internal at LASAR:

Theses on risk and resilience assessment of complex systems and critical infrastructures:

Ecology network analysis methods for balancing efficiency and resilience of critical systems and infrastructures

Resilience of energy production plants exposed to Natural-Technological (Natech) scenarios of increasing frequency and severity in the climate change context

Uncertainty quantification methods in the risk analysis of energy systems exposed to NaTech hazards and accident scenarios

Uncertainty Quantification in Computational Fluid Dynamics (CFD) for Risk Assessment

Methods for the evaluation and optimization of the resilience systems, plants and infrastructures

Advanced methods for the risk assessment of industrial facilities and plants in the oil&gas and energy sectors

Climate change impact on the risk assessment of energy production plants

 

Theses on Prognostics and Health Management for Predictive Maintenance:

Deep Learning Methods for Extracting Information from Text Documents in Prognostics and Health Management Applications

Development and implementation of diagnostic techniques for the classification of abnormal conditions in industrial plants using transparent rules

 

Development of Tools for the Anomaly Detection, Fault Prognosis and Remaining Useful Lifetime of the CERN Complex Technical Infrastructure Components

Development and implementation of Tools for the Availability and Reliability Assessment of the CERN Complex Technical Infrastructure Systems