Raman Spectroscopy to Monitor Biomanufacturing Processes
| ABG-135865 | Thesis topic | |
| 2026-02-19 | Other public funding |
- Process engineering
- Biotechnology
- Data science (storage, security, measurement, analysis)
Topic description
I am a newly appointed professor in the Department of Chemical Engineering at Université Laval, specializing in biomanufacturing.
I am looking for Master’s or PhD students. 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 monitoring and modeling of biomanufacturing processes. Specifically, on the use of Raman Spectroscopy and/or High Performance Liquid Chromatography (HPLC) to monitor cell culture media composition, and how to use these measurements to build predictive models of cell cultures able to infer and optimize cell growth, product titer and product quality.
Funding category
Funding further details
Presentation of host institution and host laboratory
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.
PhD title
Country where you obtained your PhD
Institution awarding doctoral degree
Candidate's profile
Strong understanding of multivariate data analysis (MVDA) is required to analyze Raman spectroscopy data.
Interest or experience in
- Bioprocess analytics (HPLC chromatography, Raman spectroscopy, Surface Plasmon Resonance, etc.)
- Data analysis
- Statistics
- Machine learning
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