Postdoctoral Fellow / Research Scientist position in Image Registration
Applications are invited for a Postdoctoral Fellow / Research Scientist position at the Computational Biomedicine Lab (www.cbl.uh.edu), University of Houston in the area of Biomedical Image Analysis and especially multimodal registration.
 
The Computational Biomedicine Lab provides a unique interdisciplinary research environment with internationally recognized collaborators from Medicine, Biology, Mathematics, and Engineering. The position entails research in multimodal registration in collaboration with researchers from the Methodist Research Institute at the Methodist Hospital. The candidate will benefit from mentorship of a diverse research team and will be exposed to cutting-edge technology.
 
Applicants should have a doctoral degree in Computer Science, Electrical Engineering, Applied Mathematics or a related field. The successful applicant will have solid research, interpersonal, and communication skills. Prior biomedical image analysis training is welcome but not required.
 
The position is open immediately and the salary compensation is very competitive. For consideration, please submit your application preferably in one single PDF-document including cover letter, a full CV, a statement of research interests and career goals and the names and email addresses of three references to ioannisk@uh.edu, with subject line "PDF/RSP: (your name)". For more information please email Prof. Kakadiaris (ioannisk@uh.edu).
 
Houston offers an outstanding environment for research and professional opportunities for growth and collaboration, including the largest medical center in the country. UH is an equal employment opportunity employer and smoke-free environment. Women and minority candidates are strongly encouraged to apply.
 
 
Prof. Ioannis A. Kakadiaris
Eckhard Pfeiffer Professor
Dept. of Computer Science
Director, Computational Biomedicine Lab
University of Houston, MS CSC 3010
Houston, TX 77204-3010
Phone: +1 (713) 743-1255
Fax: +1 (713) 743-0159
Email: ioannisk@uh.edu
URL: http://www.cs.uh.edu/~ioannisk