Ph.D. Opportunity in Computer Vision and Machine Learning

Robotics and Remote Sensing Lab

The Robotics and Remote Sensing Lab (RRSL) at Michigan Technological University is excited to announce a Ph.D. position in Computer Vision and Machine Learning for Remote Sensing Applications. This unique opportunity will focus on innovative research using drone-based imagery, including RGB, thermal, and multispectral data, as well as underwater imaging, to advance the field of remote sensing.

The selected candidate will work on developing cutting-edge techniques for image analysis and object detection to address critical challenges in environmental monitoring and resource management.

We seek motivated individuals with a strong background in computer science or related fields, proficient programming skills, and a keen interest in machine learning and computer vision. This position offers access to state-of-the-art facilities, expert mentorship, and a competitive stipend. Graduate students and undergraduate students are invited to apply.

DataSENSE Project

Michigan Technological University is pleased to accept applications for graduate student traineeships under the newly funded National Science Foundation NRT award: “Integrative Training in Data Science-Enabled Sensing of the Environment for Climate Adaptation (DataSENSE).” Information about the project is available at:

DataSENSE trainees participate in a set of activities throughout the program, including coursework, interdisciplinary research, summer experiences, research seminars, career development training, and near-peer mentoring.

Trainees will receive NRT support for five semesters (Year 1: Fall, Spring, and Summer; Year 2: Fall and Spring). For the remainder of their Ph.D. study, trainees will be supported by a mixture of internal (GTA/GRA) and external funding sources.


Applicants must either be U.S. citizens or hold permanent residency in the USA (Green Card).

Candidates for this position should meet the following qualifications:

  • Master’s or B.S. degree in computer science, electrical engineering, remote sensing, or a related field
  • Strong programming skills, particularly in languages such as Python, TensorFlow, or PyTorch
  • A solid foundation in machine learning and image processing
  • Excellent analytical and problem-solving abilities
  • Exceptional communication and teamwork skills
  • Preference will be given to candidates with additional experience in remote sensing and drone utilization

Application Deadline

Interested candidates are encouraged to apply by March 20, 2024.

How to Apply

To apply for this exciting Ph.D. opportunity, please submit a detailed CV highlighting your academic and research achievements to faculty member Ashraf Saleem, Dept. of Applied Computing, at

Questions? Please contact

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