I have multiple fully funded PhD position in the exciting field of Machine Learning and Computer Vision at Center for Imaging Science, Rochester Institute of Technology. This prestigious opportunity offers aspiring scholars the chance to delve into cutting-edge research and make significant contributions to the advancement of these rapidly evolving fields.

Position Details:

Discipline: Machine Learning and Computer Vision

Funding: Fully funded for the duration of the program

About the Program: The successful candidate will join a vibrant research community at CIS@RIT. The PhD candidate will have access to state-of-the-art resources, facilities, and datasets to conduct innovative research and develop novel algorithms and models. This is an exceptional opportunity to contribute to the academic community and collaborate with leading industry partners.

Responsibilities and Opportunities:

  • Conduct original research in the areas of Machine Learning and Computer Vision
  • Design and develop algorithms, models, and methodologies to solve complex problems
  • Publish high-impact research papers in renowned conferences and journals
  • Collaborate with industry partners on real-world applications and projects
  • Present research findings at national and international conferences
  • Contribute to teaching and mentoring activities, fostering a culture of knowledge sharing


  • Possess a strong background in Machine Learning, Computer Vision, or relevant areas
  • Proficiency in Pyhton programming language
  • Familiarity with deep learning frameworks (e.g., TensorFlow, PyTorch)
  • Solid mathematical foundation in linear algebra, calculus, and probability theory
  • Excellent analytical, problem-solving, and communication skills

Application Procedure: Interested candidates are invited to submit their application package, which should include:

  • Curriculum vitae (CV) highlighting academic achievements, research experience, and publications (if any)
  • Statement of purpose (1-2 pages) outlining research interests, motivation, and future goals
  • Copies of academic transcripts (both undergraduate and postgraduate)
  • Contact information of two referees who can provide letters of recommendation
  • Any additional supporting documents showcasing relevant experience or projects

Please email your application package to bartosz.krawczyk1988@gmail.com with the subject line “PhD Application”. Applications are accepted on the rolling basis.

Shortlisted candidates will be invited for an interview and evaluation process. Final selection will be based on merit and fit with the research goals of the department.