Fully Funded PhD/Master’s Research Research in LiDAR – USA

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Purdue University offers fully funded PhD/Master’s research in LiDAR and computer vision with tuition waiver, stipend, and research support
(Fully Funded PhD/Master’s Research

Fully Funded PhD/Master’s Research: Purdue University is seeking highly motivated graduate researchers (PhD or Master’s level) to join projects on localization and mapping using image and LiDAR sensors. The position is supervised by faculty in the School of Civil Engineering and involves advanced work in computer vision, photogrammetry, and signal processing.

Graduate Research Opportunity in USA

This opening offers full research support for qualified PhD or Master’s candidates. It includes tuition coverage and a competitive stipend.

Scholarship Information (Fully Funded PhD/Master’s Research in LiDAR)

  • Program: PhD or Master’s research assistantship
  • Funding: Fully funded (tuition, stipend, and research support)
  • Host Country: United States of America
  • Host University: Purdue University
  • Open to: International and U.S. students
  • Field of Study: Civil Engineering, Electrical Engineering, Computer Vision, Photogrammetry, LiDAR Mapping, Machine Learning

Benefits (Fully Funded PhD/Master’s Research in LiDAR)

  • Full tuition waiver
  • Monthly stipend (competitive and based on Purdue graduate rates)
  • Health insurance
  • Access to advanced LiDAR sensors and imaging equipment
  • Mentorship in cutting-edge localization and mapping projects
  • Opportunities to publish and present at conferences

Requirements

  • Bachelor’s or Master’s degree in Electrical Engineering, Computer Science, Civil Engineering, Physics, or related field
  • Strong background in signal processing, computer vision, photogrammetry, and machine learning
  • Excellent programming skills (e.g., Python, C++, MATLAB)
  • Strong written and oral communication abilities
  • Research experience in related fields is desirable

Documents Needed (Fully Funded PhD/Master’s Research in LiDAR)

  • Academic transcripts
  • Degree certificates
  • Curriculum Vitae (CV)
  • Statement of Purpose
  • Research proposal or summary of relevant experience (if requested)
  • Three letters of recommendation
  • English proficiency test scores (TOEFL or IELTS) for international applicants
  • Passport or national ID

How to Apply

  1. Prepare your CV, transcripts, and statement of purpose highlighting your background in LiDAR, computer vision, or related areas.
  2. Contact the supervising professor  with your CV and a brief description of your research interests.
  3. Apply through Purdue University’s graduate admission portal for the relevant department (typically Civil Engineering or Electrical and Computer Engineering).

Application Deadline

  • Applications are reviewed on a rolling basis. Early contact is encouraged for Fall 2026 admission.

Tips

  • Emphasize coursework or projects in signal processing, computer vision, and machine learning.
  • Provide evidence of programming ability and prior research work.
  • Contact the supervising professor early to discuss potential projects and fit.

Life at Purdue University

Purdue’s main campus is in West Lafayette, Indiana. It offers a vibrant research environment, a low cost of living compared to major cities, and strong industry connections in engineering and technology.

Last Note

A fully funded research assistantship at Purdue University provides an excellent path to advanced study in LiDAR, computer vision, and machine learning. With tuition support, a competitive stipend, and access to top facilities, this position is ideal for students aiming for a research career in cutting-edge mapping and localization technologies.