Politecnico di Torino
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PhD position on AI methods for industrial catalysis Politecnico di Torino in Italy
Degree Level
PhD
Field of study
Chemical Engineering
Funding
Available
Deadline
Feb 1, 2027
Country
Italy
University
Politecnico di Torino
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About this position
This PhD project at Politecnico di Torino focuses on using advanced AI to improve how industrial catalytic systems are explored and optimized. The work addresses a key challenge in sustainable chemical and energy production: traditional experimentation is often slow and costly when many variables and competing objectives must be considered at once.
The candidate will develop and apply Sequential Learning and agent-based methods to guide experimentation in complex design spaces. The aim is to accelerate experimental discovery and contribute to the methodological foundations of self-driving laboratories, where automation and intelligent decision-making support faster and more adaptive research workflows.
The research is embedded in the Energy Department at Politecnico di Torino and is carried out in collaboration with Shell Global Solutions International B.V. Industrially relevant case studies will be defined for the project, and research stays at Shell’s Energy Transition Campus Amsterdam (ETCA) are foreseen, offering an academic-industrial environment with direct relevance to energy-transition challenges.
Funding details
Available
What's required
Applicants should have a Master Degree or equivalent. Candidates from engineering, physics, chemistry, or related disciplines are welcome. Basic knowledge of energy processes, AI methods, and scientific programming (Python, MATLAB or similar) is desirable. Strong analytical and problem-solving skills, scientific curiosity, and enthusiasm for interdisciplinary research are particularly valued. Previous experience in AI-driven optimization or catalytic processes is a plus but not mandatory. Candidates should be eager to learn, develop new ideas, and work in an international academic-industrial environment. English level: good.
How to apply
Apply by email to [email protected]. Use the subject line specified in the advert and send your application materials directly to the contact email.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.