Development of Digital Twins of Biomanufacturing Processes
ABG-133117 | Sujet de Thèse | |
05/08/2025 | Autre financement public |
- Génie des procédés
- Science de la donnée (stockage, sécurité, mesure, analyse)
Description du sujet
I am a newly appointed professor in the Department of Chemical Engineering at Université Laval, specializing in biomanufacturing.
I am looking for my very first Master’s or PhD student. By joining my lab, you will benefit from:
✅ A stimulating, multidisciplinary research environment
✅ Access to cutting-edge facilities on the ULaval campus
✅ A unique opportunity to contribute from the start to shaping the lab’s research directions, with close mentorship
The specific topic will be defined with the student. Projects will focus on the development of digital twins for bioprocesses: implementing a model bioprocess, data collection, process modeling, monitoring and control, and developing a process–model communication platform.
Nature du financement
Précisions sur le financement
Présentation établissement et labo d'accueil
Université Laval, located in the heart of Québec City, offers an ideal environment for research and doctoral studies. Recognized for its academic excellence and commitment to innovation, it ranks among Canada’s leading research universities. Its modern facilities, state-of-the-art laboratories, and strong collaborations with industry and international research centers foster the realization of ambitious projects.
Studying in Québec City, a welcoming, walkable city with a rich historical heritage, means enjoying an exceptional living environment that combines safety, nature, and cultural vibrancy. Between UNESCO-listed Old Québec, the nearby vast natural landscapes, and a lively student scene, Université Laval offers researchers and graduate students a unique combination of scientific rigor and outstanding quality of life.
Intitulé du doctorat
Pays d'obtention du doctorat
Etablissement délivrant le doctorat
Profil du candidat
- Background in Chemical Engineering or Process Engineering
- Programming (Matlab or Python)
- Abilities in data analysis or machine learning (pytorch)
- Interest or experience in cell culture (CHO or Ecoli)
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