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 

The Texas A&M School of Architecture offers undergraduate and graduate professional programs to prepare individuals to enter the professions of architecture, landscape architecture, construction management, urban and regional planning. The planning, design and construction of the world’s buildings, cities and landscapes involve a variety of professional skills. The faculty of architects, urban planners, landscape architects, engineers, computer scientists, constructors, lawyers, historians, and artists, in collaboration with educators in the language, philosophy and culture and natural and social sciences, help students develop an understanding of the physical, social, economic and political forces that shape our environment. To learn more about the School of Architecture, please visit us at https://arch.tamu.edu

What we want

The Postdoctoral Research Associate will craft sophisticated spatial models, dissect extensive geo-spatial datasets, and utilize Geographic Information Systems (GIS) tools to tackle intricate urban issues. The individual selected for this position will use large mobility data, human-environment interaction, and 3D simulation, while working in a collaborative interdisciplinary unit. The ideal applicant will have a PhD in GIS, Computer Science, Urban Planning, Civil Engineering or other related discipline with two or more years’ experience in the following areas: geographic information systems, remote sensing, natural language processing, computer vision, data mining, optimization, and/or urban simulation. If this describe you, we invite you to apply to be considered for this opportunity.

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

• Appropriate PhD.

Required Knowledge, Skills, and Abilities:

• Knowledge in implementation of open-source geo-spatial 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 Education and Experience:

• PhD in GIS, 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/or urban simulation.

• Strong background in artificial intelligence and spatial data analytics.

• Publication Record: A record of published research in peer-reviewed journals related to transportation and/or urban sustainability.

• Industry Experience: Previous involvement in collaborative projects with urban planning agencies, transportation organizations, and/or sustainability initiatives.

Essential Duties/Tasks

• Project Research, Coordination & Enhancement - Work with team of interdisciplinary researchers to capture, understand, integrate, and implement their requirements in developed algorithms for urban sustainability and mobility model, as well as contribute to publications and grant writing. Conduct urban computing research with a strong emphasis on algorithm development, prototyping, and validation. Optimize 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.