Postdoctoral Research Associate

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 School of Architecture at Texas A&M University offers undergraduate and graduate professional programs to prepare individuals to enter the professions of architecture, landscape architecture, construction management, urban and regional planning and visualization. As the only department of its kind in the nation, The Department of Landscape Architecture & Urban Planning (LAUP) at Texas A&M encompasses an unmatched set of degree programs in three distinct, but related disciplines:

• Landscape Architecture: The planning, design, management, and nurturing of the built and natural environments coupling advanced and traditional digital, virtual, and analog methods
• Urban Planning: A community engagement driven, systematic, and creative process which influences the future of neighborhoods, cities, regions, rural and metropolitan areas
• Land & Property Development: A process which makes improvements to a piece of land through its alteration from a natural or semi-natural state for a developmental purpose

We plan, design and develop places, through a unique, evidence-based approach which enhances and protects the natural and built environments. The Mission of LAUP is to create and disseminate knowledge and skills to enhance functional, healthy, sustainable, and resilient built and natural virtual environments through instruction, research, professional practice, and service in landscape architecture, urban planning, land development, and allied disciplines. To learn more, visit us at: https://www.arch.tamu.edu/laup .

What we want

The Postdoctoral Research Associate will develop a digital twin of the campus, working on the digital twin system’s overall architecture, ensuring scalability and robustness and developing & optimizing algorithms for data processing and analytics, with a focus on ensuring the system’s reliability, performance, and adherence to quality standards. The selected candidate will have a PhD in Computer Science, Civil Engineering, or a related discipline. Our ideal candidate may have proven expertise in one or both of the following areas: 1) Proficiency in user interface and user experience design, And/or 2) Experience in developing and optimizing algorithms for data processing and analytics. The Postdoctoral Research Associate will also communicate with various communities on campus to gather feedback and promote the campus digital twin.

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:

• PhD in Computer Science, Civil Engineering, or related discipline required.

Required Knowledge, Skills, and Abilities:

• Knowledge in implementation of platforms involving big-data, visualization, deep learning, and statistics.

• Strong communication skills both written and oral.

• Strong programming knowledge in web and/or mobile development.

• Working knowledge with parallel and distributed computing software and hardware architectures.

• Ability to multi-task and work cooperatively with others.

Preferred Qualifications:

• Publication Record: A record of published research in peer-reviewed journals related to digital twin could indicate a strong research background.

• Industry Experience: Previous involvement in collaborative projects in digital twin would demonstrate practical experience in the field.

• More than two years of experience in digital twin technology or 3D modeling, with proven records in programming and platform development.

Essential Duties/Tasks:

• Interdisciplinary Collaboration- Work with team of interdisciplinary researchers to capture, understand, integrate, and implement their requirements in developed algorithms for campus digital twin model, as well as contribute to outreach, publications, and grant writing.

• Research– Conduct digital twin research with a strong emphasis on algorithm development and validation.

• Optimization– Optimize algorithm prototypes to scalable, parallelized, and robust implementations.

Why Texas A&M University? 

We are a prestigious university with strong traditions, Core Values, and a community of caring and collaboration.  Amenities associated with a major university, such as sporting and cultural events, state-of-the-art recreation facilities, the Bush Library and Museum, and much more await you.  Experience all that a big city has to offer but with a reasonable cost-of-living and no long commutes. 

• Health , dental , vision , life and long-term disability insurance with Texas A&M contributing to employee health and basic life premiums

• 12-15 days of annual paid holidays 

• Up to eight hours of paid sick leave  and at least eight hours of paid vacation each month

• Automatically enrollment in the Teacher Retirement System of Texas 

• Health and Wellness: Free exercise programs and release time

• Professional Development: All employees have access to free LinkedIn Learning  training, webinars, and limited financial support to attend conferences, workshops, and more 

• Employee Tuition Assistance and Educational Release time   for completing a degree while a Texas A&M employee

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.