Job ID: 131064

Ph.D. Research Assistant

Carnegie Mellon University

  • Oct. 8, 2019
  • Ph.D. Research Assistant
  • Civil and Environmental Engineering
  • Carnegie Mellon University
    Pittsburgh, PA
  • Feb. 28, 2020
  • Aug. 1, 2020
  • Graduate Student
  • Water Resources Engineering
    Transportation Engineering
    Sustainable Engineering
    Structural Engineering
    Industrial & Systems Engineering
    Human Factors Engineering/Ergonomics
    Engineering Mechanics
    Computer Engineering
    Computer Science
    Construction Engineering/Management
    Civil Engineering
    Architectural (Building & Construction)

Two Ph.D. research assistant positions are available within the Spatiotemporal Workflows and Resilient Management Laboratory (SWARM Lab) at Carnegie Mellon University (CMU) to work in the general domain of Data Science, Systems Engineering, and Computational Models for Construction Automation and Civil Infrastructure Systems. The student’s research advisor will be Dr. Pingbo Tang. The work will be interdisciplinary by nature, possibly spanning over civil and construction engineering, data analytics for construction project control, infrastructure management, computational intelligence, and spatiotemporal analysis and information management (e.g., GIS, Building Information Modeling). The primary research projects are: 1) Risk Monitoring of Civil Infrastructures Using Correlated Change Patterns in Spatiotemporal Data; 2) Dynamic Human-Technology Reliability for Civil Infrastructure Operations; 3) Automatic Imagery Data Analysis for Proactive Computer-Based Workflow Management during Nuclear Power Plant Outages; 4) Human-Centered Automation and Multi-media Data Fusion for Resilient Air Traffic Control and Aviation Systems Safety; and 5) Remote Sensing and Spatiotemporal Modeling for Predictive Water Infrastructure Operation Analysis.

MINIMUM REQUIREMENTS: B.S. in Civil Engineering, or Construction Engineering and Management, or Remote Sensing and Geospatial Technologies, or Computer Science and Robotics, or other related fields.

DESIRABLE QUALIFICATIONS: Interests and experiences related to two or more of the following academic areas: 1) Mathematical modeling, simulation, and statistical analysis; 2) Computing (programming, automation, artificial intelligence); 3) Image processing and computer vision; 4) Statistics and mathematical modeling (machine learning); 5) Automation in construction and robotics; 7) Computer-Aided Design and computer graphics; 8) Database and information management; 9) GIS and spatial analysis.

ASSISTANTSHIP PACKAGE: Competitive stipend, full tuition waiver. Room & board expenses will be co
vered for research travels (conferences, data collections).

APPLICATION INSTRUCTION: Please review the following links and send the CV and research statement directly to Dr. Pingbo Tang (, if any questions.

  • Carnegie Mellon University is committed to Equal Employment Opportunity and Affirmative Action (EEO/AA).

    The university bases its employment decisions on the principle of equal employment opportunity. All personnel actions including, but not limited to, recruitment, hiring, training, promotion, compensation, benefits, transfer, layoff, return from layoff, education tuition assistance and social and recreational programs are administered in accordance with the university’s commitment to non-discrimination.

    Further, the university takes affirmative action to attract qualified candidates for employment who are minority, female, individuals with disabilities, disabled veterans and veterans of the Vietnam Era; ensures that bona fide job-related and valid requirements are used to evaluate employees for promotion and applicants for employment; and complies with applicable federal, state and local laws, statutes, orders and regulations prohibiting discrimination on the basis of race, color, religion, gender, age, national or ethnic origin, gender identity, sexual orientation, veteran status or non-job-related disability.

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Contact Information

  • Pingbo Tang
    Civil and Environmental Engineering
    Carnegie Mellon University
    5000 Forbes Avenue
    Civil & Environmental Engineering, Porter Hall
    Pittsburgh, PA 15213

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