PhD: Automated Features for Chemical Process Modelling

KU Leuven; Vlaams-Brabant; Sur place; EUR 42 000 - 52 000; Plein temps

Avantages offerts par ce poste

Publication opportunities

Industrial collaboration

International team

Résumé du poste

KU Leuven invites applications for a PhD on automated feature discovery and data-driven modelling for chemical processes. The project is part of EL4CHEM and aims to develop automated feature generation, selection and model identification methods that yield accurate, interpretable models for industrial chemical processes.

The candidate will work at the interface of chemical engineering, AI, and process systems engineering, applying ML to real datasets with strong industrial relevance and

Qualifications

• PhD in chemical engineering, process engineering, applied mathematics, data science, computer science or a related field.
• Experience with Python and machine learning is advantageous.
• Strong interest in combining ML with chemical-engineering problems; motivated and interdisciplinary.

Connaissances

Python

Machine learning

Data science

Feature selection

Process modelling

Description du poste

KU Leuven invites applications for a PhD on automated feature discovery and data-driven modelling for chemical processes. The project is part of EL4CHEM and aims to develop automated feature generation, selection and model identification methods that yield accurate, interpretable models for industrial chemical processes.

The candidate will work at the interface of chemical engineering, AI, and process systems engineering, applying ML to real datasets with strong industrial relevance and