Postdoctoral Associate - CEE Urban Informatics Lab & The Infrastructure Resilience Group
Rutgers
Piscataway, NJ (In Person)
Full-Time
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Job Description
NSF , FEMA , DHS
, and other local agencies. They will lead research activities involving harnessing and synthesizing the latest developments in artificial intelligence, remote sensing, and simulation and modeling techniques in the fields of infrastructure engineering, social science, and hydrologic science to improve the resilience and security of urban environments during natural and man-made extreme events. They will have opportunities to work in a state of-the-art lab as Rutgers Urban Informatics laboratory is equipped with a suite of sensing systems such as mobile and static lidar systems, infrared thermography cameras, drones, and EEG as well as advanced computing and visualization systems such as CAVE (an immersive visualization facility),VR, and AR and computing clusters for data intensive research. The candidates will also have access to several live testbeds deployed in critical facilities and communities for studies related to early flood warning systems, air quality prediction, and security in soft target and crowded places. The candidates are expected to publish conference and journal papers, collaborate in multi-disciplinary teams, and write grant proposals. Position Status Full Time Posting Number 26FA0456 Posting Open Date Posting Close Date Qualifications Minimum Education and Experience Applicants must have a Ph.D. in Civil and Environmental Engineering, Industrial Engineering, Coastal Marine Science, Computer Science, Electrical Engineering, or a closely related field. The ideal candidates will have experience in one or more of the following topics: deep learning for image and point cloud data processing, deep learning for time series data prediction, digital twin, geospatial mapping with vehicle and UAV mounted remote sensing systems or robotic systems, crowd simulation, reinforced learning, flood modeling and impact analysis, complex system modeling, and optimization. Certifications/Licenses Required Knowledge, Skills, and Abilities This position requires good communication and presentation skills, and a strong proficiency in technical writing and editing. The individual will be expected to hold very high standards in how information is developed and presented. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview Statement Posting Details Special Instructions to Applicants Quick Link to Posting Campus Rutgers University-New Brunswick Home Location Campus Busch (RU-New Brunswick) City Piscataway State NJ Location Details Pre-employment Screenings All offers of employment are contingent upon successful completion of all pre-employment screenings. Immunization Requirements Under Policy 100.3.1 , if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination. Equal Employment Opportunity Statement It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we encourage all qualified applicants to apply. For additional information please see the Non-Discrimination Statement at the following web address:Similar remote jobs
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