Python R Spring MATLAB Machine Learning

⛔ This position is no longer available. University: Louisiana State University (LSU) Country: United States Deadline: Not specified Louisiana State University (LSU) invites applications for a fully funded PhD position in the area of Construction...
⛔ This position is no longer available.

University: Louisiana State University (LSU)

Country: United States

Deadline: Not specified

Louisiana State University (LSU) invites applications for a fully funded PhD position in the area of Construction Management with a focus on intelligent resilient systems. The successful candidate will join Dr. Flavia-Ioana Patrascu’s interdisciplinary research team in the Patrascu’s Future Intelligent Resilient Systems (FIRST) Lab, within the Bert S. Turner Department of Construction Management. The position is available for a Fall 2025 or Spring 2026 start.

Requirements

– Applicants must currently reside in the United States.

– MSc degree in Civil Engineering, Computer Science, Engineering, or a related field.

– Proficiency in Python, R, or MATLAB, with experience working with large datasets.

– Demonstrated experience in machine learning and AI applications.

– Strong analytical, problem-solving, and communication skills.

– Record of peer-reviewed publications.

Preferred Qualifications

– Experience with sensors, UAVs, or hydrology/water systems.

Application Instructions

Interested candidates should submit a CV and cover letter detailing their qualifications and fit for the position to Dr. Flavia-Ioana Patrascu at [email protected]. Please use the subject line: “Funded RA Position – US 25/26 – Candidate [LAST NAME]”.

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Also See

  • Fully Funded PhD Position in Ethics of AI Foundation Models
  • Postdoctoral Positions in Catalysis and Reaction Engineering at Louisiana Tech University
  • Fully-Funded PhD Position in Construction Automation and Smart Construction Safety
  • PhD Position in Regenerative Transformation of Swedish Housing and Building Production
  • Postdoctoral Opportunity in AI Applications for Construction and Housing Development

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