Postdoctoral Associate - CEE Urban Informatics Lab & The Infrastructure Resilience Group

Rutgers University; Piscataway Township (NJ); On-site; USD 50,000 - 70,000; Full time

Benefits offered by this job

Medical, prescription drug, and dental coverage

Paid vacation and holidays

Competitive retirement benefits

Employee educational benefits

Life insurance coverage

Employee discount programs

Job summary

Rutgers University is inviting applications for two Postdoctoral Associate positions in its CEE Urban Informatics Lab and The Infrastructure Resilience Group. This role focuses on research in community resilience and critical infrastructure protection, utilizing cutting-edge AI and simulation techniques.

Ideal candidates hold a Ph.D. in relevant fields and possess experience in deep learning, geospatial mapping, and flood modeling. The position offers comprehensive benefits, including medical coverage and educational assistance.

Qualifications

• Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, or Electrical Engineering.
• Experience in deep learning and time series prediction.
• Knowledge in simulation and geospatial mapping.

Responsibilities

• Lead research activities to improve urban resilience using AI and remote sensing.
• Publish papers and collaborate in multidisciplinary teams.

Skills

Deep learning for image processing

Geospatial mapping

Robotic systems

Reinforcement learning

Flood modeling

Complex system modeling

Education

Ph.D. in Civil and Environmental Engineering or related field

Job description

Postdoctoral Associate – CEE Urban Informatics Lab & The Infrastructure Resilience Group

The Rutgers CEE Urban Informatics Lab and The Infrastructure Resilience Group at Rutgers Center for Advanced Infrastructure and Transportation (CAIT) invite applications for two postdoctoral fellow positions in the general areas of community resilience, critical infrastructure protection, and smart cities.

Applicants are expected to work on research projects funded by NSF, FEMA, DHS and other agencies, leading activities that harness and synthesize the latest developments in artificial intelligence, remote sensing, simulation and modeling techniques in infrastructure engineering, social science, and hydrologic science to improve resilience and security of urban environments during natural and man-made extreme events.

They will work in a state‑of‑the‑art lab equipped with mobile and static lidar systems, infrared thermography cameras, drones, EEG, advanced computing and visualization systems such as CAVE, VR, AR, and computing clusters. They will also have access to live testbeds for studies related to early flood warning systems, air quality prediction, and security in soft targets and crowded places.

Responsibilities

• Lead research activities and synthesize AI, remote sensing, and simulation methods to improve urban resilience.
• Publish conference and journal papers, collaborate in multidisciplinary teams, and write grant proposals.

Qualifications

• Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field.
• Experience in deep learning for image and point cloud data processing, time series prediction, digital twin, geospatial mapping with vehicular/UAV remote sensing, robotic systems, crowd simulation, reinforcement learning, flood modelling, complex system modelling, and optimization.

Required Knowledge, Skills, and Abilities

• Excellent communication, presentation, and technical writing skills.
• High standards in information development and presentation.

Benefits

• Medical, prescription drug, and dental coverage.
• Paid vacation, holidays, and various leave programs.
• Competitive retirement benefits including defined contribution plans and voluntary tax‑deferred savings options.
• Employee and dependent educational benefits (when applicable).
• Life insurance coverage.
• Employee discount programs.

Required Documents

• Resume/CV
• Cover Letter
• List of Professional References

Optional Documents

• Other Document
• Research Statement
• Certifications/Licenses
• Dissertation Abstract
• Nomination Letter
• Peer evaluations

Equal Employment Opportunity Statement

We are an equal opportunity employer and encourage applicants from all backgrounds. For additional information please see our Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

Immunization Requirements

During Flu Season, Rutgers may require proof of influenza vaccination unless a medical or religious exemption is granted. Failure to provide proof may result in rescission of an offer or disciplinary action up to termination.