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Toulouse Biotechnology Institute

PhD in Digital Shadow for Bioprocess Optimization, AI and Machine Learning Toulouse Biotechnology Institute in France

Degree Level

PhD

Field of study

Computer Science

Funding

3-year PhD position with a stipend of €2,300 per month.

Deadline

Sep 30, 2026

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Country

France

University

Toulouse Biotechnology Institute

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Keywords

Computer Science
Machine Learning
Chemical Engineering
Biology
Mathematics
Artificial Intelligence
Process Engineering
Reinforcement Learning
Digital Twins
bio engineering

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About this position

PhD opportunity in Digital Shadow for Bioprocess Optimization at the Toulouse Biotechnology Institute (TBI), Bio & Chemical Engineering, Toulouse White Biotechnology (TWB), and INRAE Laboratoire de Biotechnologie de l'Environnement (LBE) in Toulouse, France.

This 3-year doctoral project focuses on artificial intelligence and machine learning for bioprocess optimization, including digital twins, hybrid models, and reinforcement learning. The research aims to improve strain selection and enhance metabolite production, making it a strong fit for candidates interested in computational methods applied to biotechnology and process engineering.

Eligible background: Master’s degree in Computer Science, Bio/Process Engineering, or Mathematics.

Funding: €2,300 per month for 3 years.

Location: Toulouse, France.

Deadline: 2026-09-30.

How to apply: Send a CV and cover letter to ACEVES Cesar and Jean Philippe STEYER.

Funding details

3-year PhD position with a stipend of €2,300 per month.

What's required

Applicants should have a Master’s degree in Computer Science, Bio/Process Engineering, or Mathematics. The project is suited to candidates interested in AI and machine learning methods for bioprocess optimization, including digital twins, hybrid models, and reinforcement learning.

How to apply

Prepare a CV and cover letter and send them to ACEVES Cesar and Jean Philippe STEYER. Use the provided LinkedIn post link for context if needed.

More information can be found here

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