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Machine learning driven decision support for the operation of process systems

ABG-100065 Sujet de Thèse
14/09/2021 Autre financement public
Polytechnique Montreal
Montréal - Canada
Machine learning driven decision support for the operation of process systems
  • Génie des procédés
  • Informatique
  • Science de la donnée (stockage, sécurité, mesure, analyse)
Process systems, Machine learning, Data analysis, Fault detection and diagnosis

Description du sujet

Process industries including chemicals, oil and gas industries, pharmaceutics, mining, metals and pulp and paper play an important role in the Canadian economy. An unplanned shutdown of a large plant can cost several hundred thousand dollars.

Large amounts of process data of different type are collected during process operation and stored in process historians. Today, this valuable resource is not fully exploited because of the lack of dedicated tools and methods to extract reliable information from it. Detecting unintended deviations from normal operation or identifying the root cause of abnormal behavior becomes difficult with the ever-increasing amount and complexity of stored data.

Modern machine learning methods have the potential to support building robust and accurate process models able to predict the process behaviour and to diagnose abnormal process situations.

I am looking for a MSc or a PhD Candidate interested in working on the development of novel algorithms and computational tools to support the operation of process systems.

The work will be done in collaboration with industrial partners which will provide the selected candidate an opportunity to work on real-life case studies, to discuss with industrial practitioners and to benefit from the experience of industrial researchers in creating and deploying new technology.

Prise de fonction :


Nature du financement

Autre financement public

Précisions sur le financement

Présentation établissement et labo d'accueil

Polytechnique Montreal

Located on Mount Royal, an exceptional setting in the heart of Montreal, Polytechnique is a world-renowned engineering university, excelling in cutting edge multidisciplinary and multi-sectoral research locally, nationally, and internationally, and is equally known for its top-tier training at all academic levels. An active advocate for sustainable development, Polytechnique has been certified Gold by the STARS organization. Polytechnique is known for its innovative approach, and its active role in technological, economic, and social development.

Polytechnique Montréal offers an exceptional research and working environment close to industry in the areas of aerospace, transportation, communications, health services, financial services and entertainment. Polytechnique is a member of the IVADO and the TransMedTech institutes.

The Department of Chemical Engineering currently employs 24 professors and conducts research in close collaboration with industry in the following areas: process systems engineering, reactor engineering, life cycle analysis, biorefining, tissue engineering, materials and biomaterials, regenerative medicine, biotechnology, polymers.

For detailed information, please visit: https://www.polymtl.ca/gch/en

Intitulé du doctorat

PhD in Chemical Engineering

Pays d'obtention du doctorat


Ecole doctorale

Profil du candidat

The student must meet the requirements for enrollment in graduate studies in the chemical engineering department of Polytechnique Montréal and have a sufficient level of English to carry out research and write scientific articles.






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