Job Title

Postdoctoral Research Associate

Agency

Texas A&M University

Department

Landscape Architecture & Urban Planning

Proposed Minimum Salary

Commensurate

Job Location

College Station, Texas

Job Type

Staff

Job Description

Our Commitment

Texas A&M University is committed to enriching the learning and working environment by promoting a culture that respects all perspectives, talents & identities.  Embracing varying opinions and perspectives strengthens our core values which are: Respect, Excellence, Leadership, Loyalty, Integrity, and Selfless Service.

Who we are 

Established in 1946, the Texas A&M University Department of Construction Science has led the way in excellence of construction in higher education. As part of Texas A&M School of Architecture both graduate and undergraduate programs were among the first in the nation to be accredited by the American Council for Construction Education (ACCE). With approximately 1,050 undergraduate and 40 graduate students, our department continues to lead the way as one of finest programs of construction in the nation. We challenge our students, staff and faculty to maintain such standards and we are delighted to have those join us, who can help us in our pursuits. Learn more about us by visiting our website at https://www.arch.tamu.edu/cosc/about/

What we want

The Postdoctoral Research Associate will participate in an NSF funded project on “Synchronizing Decision-Support via Human- and Social-centered Digital Twin Infrastructures for Coastal Communities”. Coastal flooding and storms present a growing global challenge. This SAI project focuses on strategies, technologies, mechanisms, and policies for increasing coastal community resilience. The project centers on the use of digital twins – virtual copies of physical objects and systems that update in real time to match real-world conditions. This research focuses on how knowledge of human reasoning and decision making, governance, and social and cultural processes enables the building and maintenance of effective infrastructure that improves lives and society and builds on advances in technology and engineering.

What you need to know

Salary: Compensation will be commensurate to selected hire’s experience.

Cover Letter/Resume’: A cover letter and resume will assist us in our review of your application materials. These can be uploaded on the application under CV/Resume.

Required Education and Experience:

• Appropriate PhD.  

Required Knowledge, Skills, and Abilities:

• Knowledge in implementation of open-source geospatial platforms involving big-data, visualization, machine learning, statistics, and modeling.
• Strong communication skills both written and oral.
• Strong programming knowledge with Java, Python, R, and web based spatial tools.
• Working knowledge with parallel and distributed computing software and hardware architectures.

Preferred Qualifications:

• PhD in GIScience, Computer Science, Urban Planning, Civil Engineering or other related discipline.
• Two or more years’ experience in the following areas: geographic information systems, remote sensing,
• natural language processing, computer vision, data mining, optimization, and urban simulation.
• Strong background in artificial intelligence and spatial data analytics.

Essential Duties/Tasks:

• Project Coordination - Work with team of interdisciplinary researchers to capture, understand, integrate, and implement their requirements in developed algorithms for urban digital twin, as well as contribute to publications and grant writing.

• Project Research - Conduct urban computing research with a strong emphasis on algorithm development, prototyping, and validation.

• Project Enhancement - Optimize and transition algorithm prototypes to scalable, parallelized, and robust implementations and may perform other duties as assigned.

Instructions to Applicants: Applications received by Texas A&M University must either have all job application data entered or a resume attached. Failure to provide all job application data or a complete resume could result in an invalid submission and a rejected application. We encourage all applicants to upload a resume or use a LinkedIn profile to pre-populate the online application.

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer committed to diversity.