Open Positions
Ph.D. students
Qualifications: Applicants interested in joining our team should possess a Master's degree in a relevant field such as Engineering, Physics, Mathematics, Computer Science, or closely related disciplines. Candidates should have a solid foundation and demonstrable expertise in network science, complex systems, or associated disciplines. Proficiency in programming languages, including but not limited to Python, C++, and JavaScript, is a prerequisite, as these are essential tools for conducting research. Moreover, applicants should have excellent communication skills in English, both written and oral, to effectively convey research findings and insights to a diverse audience. Candidates must be able to convey complex technical and scientific information clearly and coherently, both in writing and orally, to a diverse audience. Candidates should demonstrate their ability to work efficiently and productively in both collaborative environments and independent settings, showcasing a balance of teamwork and self-motivation. Minimum application requirements set forth by Princeton University can be found here.
Application instruction: Please apply for this Ph.D. position officially through the Princeton University application portal and indicate your interests in the Civil and Environmental Engineering program and the intention of working with Dr. Hackl. Submission deadline is on January 2, 11:59 pm EST.
Postdocs
Qualifications: The ideal candidate for this position will hold a Ph.D. in Network Science, Applied Mathematics, Civil Engineering, Computer Science, Operations Research, or a closely related field, with a strong focus on spatially embedded networks, complex systems, or infrastructure networks. Demonstrable expertise in the development and application of network models, particularly in relation to spatial networks, optimization, and uncertainty quantification, is required. Strong programming skills in Python, along with proficiency in network analysis libraries and relevant modeling tools, are necessary. Knowledge of spatial data analysis, graph theory, and infrastructure systems will be viewed favorably. Exceptional analytical, problem-solving, and communication skills, coupled with the ability to collaborate effectively within a multidisciplinary team, are essential. A proven track record of peer-reviewed publications in relevant fields will be advantageous.
Application instruction: The term of appointment is based on rank. Positions at the postdoctoral rank are for one year with the possibility of renewal pending satisfactory performance and continued funding; those hired at more senior ranks may have multi-year appointments. A preferred start will be in Spring 2025, but starting date is negotiable. Interested candidates should submit an application online at https://www.princeton.edu/acad-positions/position/36742. Applications should include a Cover letter, CV, a brief statement of research experience and interests, and the contact information for three references.
You are welcome to submit your application as soon as possible, ideally before December 2, 11:59 pm EST; applications will be reviewed continuously until the position is filled. Please send inquiries to [email protected]. We look forward to receiving your application and exploring the possibility of having you join our vibrant and innovative research team at the Complex Infrastructure Systems Group at Princeton University.