The available PhD positions at ISPSL focus on developing computational architectures to enhance predictive modeling, automation, control, and decision-making for process systems in energy, chemical, and bioengineering applications and are in the general areas of (1) computational multiscale modeling of process systems in chemical and biomanufacturing, (2) data-driven synthesis of functional materials, (3) optimization-based control of complex process networks, and (4) applied machine learning for energy, chemical, and food processing systems. It is desired to have a strong background or interest in applied mathematics and scientific computing (using MATLAB or Python). Experience in one or more of the following areas will be considered: process control, optimization, multiscale modeling, numerical analysis, machine learning, statistics, and computational fluid dynamics. Interested students can send me their CV or contact me for further details.