Postdoc Position in Machine Learning for Chemical Process Discoveries

Seeking a postdoc for machine learning in chemical process discoveries at Linköping University, Sweden. Qualifications include a PhD in computational chemistry, machine learning, or scientific computing.

We are seeking a postdoc to collaborate on machine learning for chemical process discoveries at Linköping University, Sweden.

The goal is to develop new machine learning methods to accelerate CFD computations and improve predictive modelling for CVD.

Qualifications include a PhD in computational/statistical chemistry, statistical machine learning, or scientific computing, with research experience in computational simulations of chemical processes, CFD or numerical methods for PDEs, generative diffusion models, physics-informed neural networks, or deep learning for chemistry.

The project is funded by WASP and WISE, and hosted by the Division of Statistics and Machine Learning (STIMA) and Division of Chemistry (Kemi) at Linköping University.

To apply, visit the official job posting. The deadline is 20.04.2025.

Tags: postdoc position, machine learning, chemical process discoveries, CVD, CFD, Linköping University, WASP, WISE