PhD positions Artificial Intelligence and Deep Learning Chemical Engineering and Energy Systems

TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence. The “Knowledge-Driven AI Lab” (KDAI Lab) is devoted to the development and application of AI in applied sciences. We aim to strengthen today’s data-driven AI through integrating fundamental knowledge of imaging physics.

The transformation of the chemical industry to renewable energy and feedstock supply requires new paradigms for the design of flexible plants. We will bridge chemical engineering and AI to deliver the next generation of intelligent knowledge and decision-making platforms for the chemical engineering field. At the heart of the successful transformation of chemical engineering with AI lays the automated extraction of information and the learning of knowledge from this heterogeneous data.

KDAI has 2 PhD vacancies with application in chemical engineering and energy systems:

(1) Research in data mining and information extraction. Your role is to develop AI algorithms to mine and structure chemical engineering data through natural language processing (NLP), computer vision, deep learning, semantic web technologies, etc.

(2) Research on graph neural networks. Your role is to learn from graph structured data through graph convolutional neural networks, (variational) autoencoders, etc.