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Chris Rausch

Assistant Professor

University of Texas at Austin

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United States

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Research Interests

Construction Management

10%

Artificial Intelligence

10%

Computer Science

20%

Automation

20%

Civil Engineering

20%

Information Technology

10%

Digital Design

10%

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Positions2

Publisher
source

Chris Rausch

University Name
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The University of Texas at Austin

PhD in Civil Engineering: Digital Design and Delivery for Horizontal Infrastructure Systems

PhD opportunity at The University of Texas at Austin in the Construction Engineering and Project Management (CEPM) program, within the Cockrell School of Engineering / Department of Civil, Architectural and Environmental Engineering. The project focuses on digital design and delivery for horizontal infrastructure systems , with research at the intersection of civil engineering , BIM , 4D/5D modeling , digital delivery workflows , data-driven coordination , AI , automation , and digital twins . The work is aimed at transforming how transportation and civil infrastructure projects are planned, coordinated, and executed in a digital-first environment. The position is associated with Chris Rausch , Assistant Professor at UT Austin and director of the Digital Harvest Lab / ETHIC-related work. The post highlights a strong fit for candidates with hands-on BIM and modeling experience, infrastructure delivery experience, and interest in project-level coordination and owner-side perspectives. Eligibility highlights: MASc in Civil Engineering required; publication record in peer-reviewed journals required; strong digital design skills required; Bentley software experience strongly desired; real infrastructure project experience highly desirable; Python/data analytics/simulation skills are a plus. Application process: Applicants should email a CV, cover letter, and two writing samples to Chris Rausch. The flyer notes that peer-reviewed journal articles are preferred as writing samples and that the email subject should be “PhD – Digital Delivery for Horizontal Infrastructure.” Admissions information is available through the CAEE graduate admissions page. Timing: The position is anticipated for Fall 2026 or January 2027 , and applications are reviewed on a rolling basis until filled.

Publisher
source

Chris Rausch

University Name
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The University of Texas at Austin

Postdoctoral Position in Robotics for Construction and Inspection at The University of Texas at Austin

Postdoctoral research position in Robotics for Construction and Inspection at The University of Texas at Austin , within the Fariborz Maseeh Department of Civil, Architectural and Environmental Engineering (CAEE) and the Construction Engineering and Project Management (CEPM) program. The project focuses on robotics for industrialized and offsite construction workflows , remote inspection and sensing , material handling , robotic assistance for deconstruction , and systems integration between robotics, sensing, and digital workflows. The role combines experimental robotics research with practical, deployment-oriented systems development, including laboratory-scale testing and industry-engaged research activities. Desired expertise includes robotic systems integration, experimental setup, cobots/robotic arms, UGV platforms, ROS/ROS2, Isaac Sim, RoboDK, vision systems, sensor integration, Python, C++, and AI-enabled robotics/autonomy workflows. The postdoc is also expected to contribute to supervising graduate students, supporting research execution, publishing scholarly work, and helping develop externally funded research initiatives. Eligibility highlights: a Ph.D. in civil engineering, mechanical engineering, robotics, computer science, mechatronics, or a related field; strong publication record; experience with robotics systems integration and experimental work; and strong communication skills for collaboration with industry partners. Funding/term: initial appointment for one year, with possible extension depending on performance and funding availability. No stipend amount is listed. How to apply: email your CV, cover letter, sample publications, and GitHub/portfolio (if available) to [email protected] . The position is open immediately and applications are reviewed until filled.