Michigan State University
Image Informatics Postdoctoral Fellowship
NOTE: All postdoctoral fellowship positions are contingent upon funding. Applications are accepted via CLIR's online application system and will be accepted until all positions are filled.
The Institute for Cyber Enabled Research (iCER) at the Michigan State University, in collaboration with the University Libraries, University Archives, Research and Graduate Studies and Information Technology Services, is offering a two-year CLIR/DLF Data Curation Fellowship. The Fellow will be based organizationally with the Institute for Cyber Enabled Research and will focus on the area of image/video data analysis and curation within the Image Informatics group of iCER and the Department of Computer Science and Engineering.
A Ph.D. degree in Computer Science, Computer Engineering, Informatics, Bioinformatics or closely related area is required.
The Institute for Cyber-Enabled Research (iCER) at Michigan State University (MSU) was established to coordinate and support multidisciplinary resources for computation and computational sciences. The Center's goal is to enhance MSU's national and international presence and competitive edge in disciplines and research thrusts that rely on advanced computing.
The Image Informatics group at Michigan State University works to pioneer new methods for the analysis of datasets using digital imaging technology. The team currently works with a variety of researchers from across campus to develop new image and video analysis technologies that focus on research workflows. Images are a crucial source of data in many scientific domains such as biology, psychology, and engineering. However, the scale of the datasets that researchers now produce using digital technology makes manual analysis impossible, and requires us to attack the problem using new mathematical and computational approaches. Current analysis tools are inadequate, and developing new approaches is a major frontier in science, requiring novel integration of concepts and methods from mathematics, statistics, computer science, as well as from the researchers gathering the data.
Data curation is commonly overlooked aspect of research workflows. However, proper data curation is critical to ensure wide proliferation and experimental reproducibility. Just storing and retrieving image and video data is not sufficient. Data curation also involves data organization and developing efficient ways to store, update and search critical metadata that is generated during the research process. The fellow will collaborate closely with other university colleagues interested in scientific data curation and informatics. These include staff from the University Libraries, University Archives and Information Technology Services. The fellow will participate in the university-wide Research Data Management Guidance Team and Research Data Management CAFÉ and collaborate with peers at MATRIX, Biomedical Research Informatics Core (BRIC) and Remote Sensing and Geographic Information Systems (RS&GIS).
Candidates will be expected to lead research projects in areas of video and image analysis with a focus on data curation, publish scholarly work in top peer reviewed conferences and journals, and assist in proposal writing. Applicants with research experience in image and video analysis, pattern recognition, data curation and high performance computing will be considered.
Desired skills and expertise
- Ph.D. degree in Computer Science, Computer Engineering, Informatics, Bioinformatics or closely related area
- Experience working with large-scale image/video data analysis and curation, pattern recognition and high performance computing
- Excellent project management skills
- Ability to work collaboratively with colleagues of diverse backgrounds
- Ability to set priorities and manage work and deadlines independently
- Good verbal and written skills in English are required.
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