2019-2020 Faculty Search
Assistant Professor, Civil and Environmental Engineering at Princeton University
The Department of Civil and Environmental Engineering (CEE) at Princeton University invites applications for a tenure track faculty position of Assistant Professor with a preferred start date of September 1, 2020. A Ph.D. degree in an appropriate field is required. The successful candidate will have a proven record of innovation and creativity in research addressing important and emerging topics in civil engineering. We are particularly interested in innovative civil engineering research that addresses infrastructure challenges in cities and the urban environment; past, present and future. Candidates must have the ability and motivation to develop a vigorous independent research program and to participate in collaborative efforts of the faculty. The department has strong undergraduate and graduate programs in both civil engineering and environmental engineering. Applicants should have interest in, and competence for, teaching foundational undergraduate and advanced graduate courses in CEE. The CEE department has strong ties with other departments, centers, and institutes at Princeton that focus on urban studies, architecture, art and archeology, energy, environment, and materials science; the successful candidate will have the opportunity to develop initiatives that establish and strengthen such connections. The department is committed to fostering an academic environment that acknowledges and encourages diversity and differences. The successful candidate will show the potential to pursue academic excellence in diverse, multicultural, and inclusive settings.
Review of applications will begin November 15, 2019 and continue until the position is filled. Applicants should apply online at https://www.princeton.edu/acadpositions/position/13041 job requisition number D-20-CEE-00001 and should submit their application cover letter, CV, contact information for three references, separate statements of research and teaching vision, and up to three representative papers through the online application system.
Inquiries regarding this position should be addressed to the Chair of the Search Committee, Prof. Sigrid Adriaenssens (sadriaen@Princeton.EDU).
Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the university's background check policy.
2020 Research Staff Search
Associate Professional Specialist, Civil and Environmental Engineering at Princeton University
The Department of Civil and Environmental Engineering invites applications for Associate Professional Specialist position. This position serves as the Urban Data Science Specialist to the Sustainable Urban Systems (SUS) Lab and associated research projects. The SUS Lab is the umbrella under which research projects led by PI Anu Ramaswami are implemented. These projects currently include the Sustainable Healthy Cities Network (NSF-SRN) and a newly awarded NSF-INFEWS grant, includes other projects relating to work with the United Nations, work with cities, future potential projects with NSF and urban projects associated with Princeton University's Chadha Center for Global India. This position would be responsible for: a) developing & managing and curating datasets related to interdisciplinary sustainable urban systems, in conjunction with the Global City Data project, a federated platform to share urban systems data; b) acquiring new SUS datasets; and c) developing original research related to sustainable urban systems.
This role will be responsible for interfacing with data originating from different sectors (water, energy, food, green/open space, transportation, waste, ICT, buildings), disciplines (engineering, public affair, geography, urban planning) and outcomes (health, environment, equity, resilience).
Requirements include extensive experience working datasets & models of multiple types and data sources; extensive experience in integrating data, profiling, validating and cleansing data; well versed/ good understanding of programming languages (Java, Python, R, other) in order to generate/analyze data; experience working with spatial data (GIS, remote sensing); experience or knowledge of Machine Learning, AI and other data science methods. Experience working with data sets from India is preferred.
Applicants must apply online at https://www.princeton.edu/acad-positions/position/15621 and include curriculum vitae and cover letter and contact information for three references.
Appointment is for two years with the possibility of renewal pending satisfactory performance and continued funding.
This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.