Predictive Modeling of Biomanufacturing Processes

I am a newly appointed professor in the Department of Chemical Engineering at Université Laval, specializing in biomanufacturing.

I am looking to recruit one PhD student for a project in partnership with the National Research Council of Canada (NRC). By joining the project, you will benefit from:

• A stimulating, multidisciplinary research environment
• Access to cutting-edge facilities at the NRC facility in Montreal
• A unique opportunity to contribute from the start to shaping the lab’s research directions, with close mentorship from myself and NRC researchers

The specific topic will be defined with the applicant. It will focus on the monitoring and modeling of biomanufacturing processes in Ecoli. Specifically, on building predictive models able to infer and optimize cell growth, product titer and product quality. 

Data collection will be performed by the applicant by running multiple fermentation batches using a rational design of experiment (DoE). This data will then be used to train a model (either machine learning or mechanistic) and optimize the process.

Any relevant experiences are an asset. We are preferably looking for applicants with experience in programming (i.e., fitting machine learning models, solving differential equations) with an interest in learning how to operate bioreactors in the lab.

The applicant will be registered at Université Laval, located in Québec City, but will be physically located in the city of Montréal. The project will be conducted at the facilities of the National Research Council Canada (NRC), one of the country’s premier research organizations. Renowned for its scientific excellence and innovation-driven mission, the NRC provides access to state-of-the-art infrastructure, advanced analytical platforms, and multidisciplinary expertise. Its strong partnerships with academia, industry, and government create an exceptional environment for conducting impactful research and translating discoveries into real-world applications.

One of Canada’s largest bilingual city, Montréal offers an outstanding setting for research and graduate training. Recognized as a global hub for science, technology, and innovation, the city combines a vibrant research ecosystem with a rich cultural scene and exceptional quality of life. From its world-class universities and research institutes to its diverse neighborhoods, festivals, and extensive public transit network, Montréal provides researchers with a dynamic and inspiring environment in which to live, collaborate, and innovate.

• Background either in:

1. Computer Science or Bioinformatics with an interest in wet lab work (fermentation, down stream processing, etc.)
2. Chemical or Biochemical Engineering with programming abilities / experience

• Programming (Matlab or Python)
• Abilities in data analysis / machine learning
• Interest or experience in cell culture (CHO or Ecoli)
• Desgin of Experiments (DoE)