Ph.D. Opportunity in Image Enhancement and Object Detection for Remote Sensing Applications

Machine learning image

 Are you passionate about pushing the boundaries of machine learning and remote sensing? Do you dream of pioneering advancements in image enhancement and object detection for real-world applications? If so, we have the perfect opportunity for you!

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 will 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 PhD study, trainees will be supported by a mixture of internal (GTA/GRA) and external funding sources. 

Position Description:

We are seeking a highly motivated and talented candidate to join our research team and pursue a Ph.D. in the field of Image Enhancement and Object Detection using Machine Learning for Remote Sensing Applications. This exciting research opportunity will involve:

  • Advancing state-of-the-art techniques in image enhancement to improve the quality and interpretability of remote sensing data.
  • Developing and implementing cutting-edge machine learning algorithms for object detection in remote sensing imagery.
  • Conducting research that will have a direct impact on fields such as environmental monitoring, disaster management, agriculture, and more.


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:

  • A Master’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.

Additional Information:

The successful candidate will have access to state-of-the-art research facilities, mentorship from experienced faculty members, and the opportunity to collaborate on projects with real-world applications. This Ph.D. position comes with a competitive stipend and research funding.

Application Deadline:

Interested candidates are encouraged to apply by February 29, 2024.

How to Apply:

To apply for this exciting Ph.D. opportunity, please submit the following documents to

  • A detailed CV highlighting your academic and research achievements.
  •  A cover letter explaining your research interests and why you are interested in this position.
  • Transcripts from your previous academic institutions.
  • Contact information for at least two academic or professional references.

Don’t miss this chance to contribute to groundbreaking research in remote sensing and machine learning! Join us on this journey to shape the future of image enhancement and object detection in remote sensing applications.

For any inquiries or further information, please contact