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Research Opportunities

Ph.D. Fellowships in Image Analytics, Data Mining, Computer Vision, and Machine Learning •

Research Opportunities in Image analytics, data mining, computer vision, and machine learning @ University of Houston, Texas, USA

Are you interested in fundamental research problems with potential for significant societal impact? Do you want to be mentored by a diverse research team, and gain exposure to cutting-edge technologies?

The Computational Biomedicine Lab, at the University of Houston promotes both basic and applied research to create transferable technology with an emphasis on modelling and extracting meaningful information from multidimensional data.
Areas of application include:
- Biomedical Image Analysis,
- Cardiovascular and Cancer Informatics,
- Face and Facial Expression Recognition, and
- Action Recognition & Behavior Analysis.

Home to 3 Tenure-Track Faculty, 11 Ph.D. Students, 1 M.Sc. Student, 1 Undergraduate Student and 3 International Interns (People), CBL fosters a unique collaborative research environment with internationally recognized experts in Medicine, Biology, Mathematics, and Engineering from Academia, Industry and Health Organizations.

Fully funded Research Opportunities exist for:
- M.S. or Ph.D. (Contact Us) programs (Computer Science, Electrical Engineering, Biomedical Engineering), and

Prospective candidates are expected to have strong motivation for the research or applications at hand. A background or previous degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field is preferable.

Kiplinger has selected Houston as it’s overall #1 Best City to Live, Work, and Play for 2008 and Forbes as Top 5 Up & Coming Tech City, #1 City for Recent College Grads, and #3 City for Young Professionals. Houston offers an outstanding environment for research and professional opportunities for growth and collaboration. UH is an equal employment opportunity employer and a smoke-free environment. Women and minority candidates are strongly encouraged to apply.

Apply for a Ph.D. Fellowships position by emailing us your resume.