New: Postdoctoral Researcher Position:

Digital twinning of bridges using UAS, photogrammetry, LiDAR, and deep learning: The Department of Civil and Environmental Engineering at the University of Houston is seeking a postdoctoral researcher with expertise in computer vision, deep learning, photogrammetry, and LiDAR to join the Structures and Artificial Intelligence Lab, led by Dr. Vedhus Hoskere. The successful candidate will be responsible for developing and testing novel procedures using Unmanned Aerial Systems (UAS), robotics, images, LiDAR, and georeferenced NDE technologies for rapid development of digital twins of bridges, assessing feasibility and requirements for detecting and quantifying changes over time, and preparing operational recommendations and guidance on data collection plans. The procedures will be validated through extensive filed data collection from iconic Texas bridges such as the Fred Hartman bridge. The candidate will lead the publication of findings in high-impact journal articles, and the development of guidelines on digital twinning of Texas bridges.

Preferred qualifications

  • PhD in Civil Engineering, Structural Engineering, Geo-sensing/Geomatics, Computer Science, or related
  • Strong background in computer vision, deep learning, photogrammetry, and LiDAR
  • Strong publication track record with demonstrated capability in developing novel artificial intelligence/deep learning learning/computer vision algorithms
  • Experience with field data collection using UAS and/or robots (FAA Part 107 license preferred)
  • Excellent written and oral communication skills (in English)
  • Strong organizational, interpersonal, and project management skills

Prospective candidates should email Dr. Vedhus Hoskere at vhoskere@uh.edu with the subject: Postdoc Application: (your name) preferably in one single PDF document, including (i) a short cover letter, (ii) a full CV, (iii) 2-page research statement (includes research interests, research experience, and career goals) (iv) the names and email addresses of three references. Preferred start date of Fall 2023. Applications will be reviewed until the position is filled.

Graduate Student Researchers:

The Structures and Artificial Intelligence Lab (SAIL) at the University of Houston invites applications from highly motivated students for graduate research in the broad area of artificial intelligence applications in structural engineering. Research will be highly interdisciplinary, at the intersection of civil engineering, computer science and robotics.

Topics of interest include but are not limited to:

  • Deep learning and computer vision for condition assessment
  • Structural health monitoring and system identification
  • Cyber-modeling and digital twins/Physics-based modeling
  • Path planning for inspections
  • Robotic inspections of civil infrastructure
  • Augmented and virtual reality for inspections
  • Built environment analytics and smart cities
  • Disaster risk assessment
  • Machine learning for structural engineering

Preferred qualifications:

  • Undergraduate or Masters degrees in Civil/Mechanical/Electrical/Computer Engineering/Physics or similar with GPA>3.6
  • Programming experience
  • Strong foundations in linear algebra, calculus, and probability
  • Research experience in structural engineering/machine learning
  • Familiarity with deep learning packages in python

Application statements should directly address the applicant’s programming experience (may include links to reports or github repositories if any). Additionally, prior research experience in the aforementioned or similar topics, or any relevant research in structural engineering should be articulated in the application.

Admission is highly competitive but successful PhD applicants will receive full tuition support and stipend for the duration of their study through research and teaching assistantships. Full applications may be submitted at http://www.cive.uh.edu/admissions/civil-engineering/application-forms. We have one position for Fall 2023/Spring 2024

I get a large number of applicant emails and it is sometimes difficult for me to respond to all of them given the limited time. To express your interest in the open positions before submitting a full application, students are encouraged to fill out this optional pre-application interest form. https://forms.gle/nZsGJX4sZCAcNNHR9 (details basic information, relevant experience, and career objectives). If you are unable to access this form or don’t wish to fill it, you may also email me copy of your CV and Cover letter with the subject starting with “Prospective Graduate Student”. You can download a PDF copy of the pre-application interest form here for your reference.

For further inquiries, please email Dr. Vedhus Hoskere (vhoskere -at- central.uh.edu).

Undergraduate Student Researchers:

UH undergraduate students interested in conducting research in our lab should email Dr. Vedhus Hoskere (vhoskere -at- central.uh.edu) your resume and interests with the subject “Prospective Undergrad”.