3 machine-learning PhD positions at Luleå University of Technology in Sweden

PhD Student in Applied Physics - Accelerating Nanomaterial Growth Simulations with Machine Learning

Description In this project we will extract affordable potentials from expensive DFT results through machine learning (ML) to accelerate nanomaterial growth in MD simulations. Such interactomic potentials

PhD student in Electronic Systems with focus on electrodynamic modeling

growing business in electrodynamic calculations at the EISLAB division. We carry out research in the areas of electronic systems, machine learning and cyber-physical systems. The electronics systems group

PhD-student in Energy Engineering electroconversion of lignin/derivatives

quantified, and machine learning will be used. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as well as communicate your results