The Complex Infrastructure Systems Group at Princeton University is excited to announce an open position for a Ph.D. Researcher in Network Science. This is a unique opportunity to engage in pioneering research that interlinks infrastructure systems, network science, and machine learning.

About the Role: As part of our team, you will delve deep into the realm of networked systems, covering areas from spatial-temporal networks to machine learning applications, including Graph ML and deep neural networks. Your research will also extend to practical implications in sectors such as transportation and energy distribution.

Are You the Right Fit? Ideal candidates should have a Master's degree in fields like Physics, Computer Science, or Engineering, with proficiency in languages such as Python and Java. Excellent English communication skills and a collaborative spirit are essential.

How to Apply: Submit your application via Princeton University's application portal by January 3, 11:59 pm EST. For detailed application instructions and qualifications, have a look at the department's guidelines.

For any queries, reach out to Prof. Dr. Jürgen Hackl at [email protected].

We eagerly await your application and the prospect of you joining our dynamic research team!