We are currently seeking talented students and researchers to join our team starting in August 2023. We have open positions available at the Ph.D. and PostDoc levels, as well as opportunities for student internships. If you are interested in computer science, machine learning and innovation in the medicine please send your application to us with “UCI application” in the title. We are looking forward to meet you.
We are currently accepting new students. If you have already been admitted to a UCI Ph.D. program and have an interest in artificial intelligence for medical image analysis, as well as applying machine learning to address challenges in pathology, radiology, or medicine, please contct us. Along with your email, include your CV, a brief description of your research interests, and a potential rotation schedule.
If you are interested in pursuing your Ph.D. in our lab but are not part of the UCI program, we are still open to considering your application.
We are always on the lookout for talented postdocs with a background in computer science, statistics, bioinformatics, computer vision, machine learning, or medical students with experience in pathology. We are particularly interested in candidates with experience in spatial transcriptomics, multiplex imaging, pathology image analysis, analysis of 3D images, computational optics, and multimodal data integration. Please include the following information:
- Curriculum Vitae
- 2-3 recent and representative publications
- Brief research statement (maximum 2 pages)
- Names and contact information of 3 professionals who can provide recommendation
Internships and Short-Term Visits
We are able to accommodate a limited number of short-term visitors and interns. Applications for these opportunities are evaluated on an individual basis. If you are interested in visiting our lab, please let us know.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, gender identity, sexual orientation, pregnancy and pregnancy-related conditions or any other characteristic protected by law.