The project includes the implementation of a new neural network architecture in atomistic machine learning. Atomistic machine learning has been very successful in predicting the physicochemical properties of materials and approximating potential energy surfaces.
The position includes assisting the research in the above-mentioned project. The tasks include include literature study, scientific programming, simulations, and analysis of results. It also includes communication of scientific results through reports and presentations. The results are expected to be summarized in scientific publications.
Sweden Academic Chemistry Computing/Programming Data Science Maths and Computing On-site Uppsala University