Measuring and minimizing effects of COVID-19 on manufacturing using IoT and data analytics- QC-335

Discipline(s) souhaitée: Études aérospatiales, Génie, Génie - informatique / électrique, Génie - mécanique, Génie - autre, Informatique, Sciences mathématiques, Finance, Mathématiques, Recherches opérationnelles, Statistiques / études actuarielles, Physique et astronomie, Sciences naturelles, Design, Sciences sociales et humaines, Science économique
Entreprise: Aleo Canada Inc.
Durée du projet: 6 months to 1 year
Preferred start date: As soon as possible.
Langue exigée: English with some French proficiency
Emplacement(s): Montreal, QC, Canada
Nombre de postes: 3
Rechercher dans les réseaux internationaux de Mitacs - cochez cette case si vous souhaitez recevoir des profils de chercheurs basés à l’extérieur du Canada: 
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Au sujet de l’entreprise: 

Aleo Canada is a consulting firm specializing in software and IT with several customers in Quebec and Ontario. Our focus is providing state-of-the-art technology to our customers and help them to address their needs effectively and efficiently.

 

Veuillez décrire le projet.: 

At Aleo Canada we are working on new technologies to help small and medium size manufacturing to recover from COVID-19 quickly and safely. Our focus is on using digital transformations to help these companies to improve their production efficiency and reduce their costs. To accomplish this goal, we are putting together an incredible team of highly talented technicians, engineers, scientists, and machine learners.

Expertise ou compétences exigées: 

1. Industrial Analytics Researcher

2. Machine Learning Researcher

3. Simulation Systems Researcher