Machine Learning Driven Decision Support for The
2 months ago
**Machine learning driven decision support for the operation of process systems**:
- Réf **ABG-125882**
- Sujet de Thèse- 18/09/2024- Autre financement public- Polytechnique Montreal- Lieu de travail- Montréal - Canada- Intitulé du sujet- Machine learning driven decision support for the operation of process systems- Champs scientifiques- Génie des procédés
- Mots clés- 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.
Professor Moncef Chioua’s group has an immediate opening for PhD position on the intersection of data analytics, machine learning and process control.
**Nature du financement**:
- Autre financement public**Précisions sur le financement**:
**Présentation établissement et labo d'accueil**:
- Polytechnique MontrealLocated 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.
**Site web**:
**Intitulé du doctorat**:
- PhD in Chemical Engineering**Pays d'obtention du doctorat**:
- CanadaThe 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.- 16/12/2024
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