CENTER FOR SCIENCE OF INFORMATION
Postdoctoral position in machine learning and information sciences in the Department of Computer Science, Howard University and the Center for Science of Information (CSoI), a National Science Foundation Science and Technology Center
Location: Department of Computer Science, Howard University
PI: Mugizi Rwebangira
A postdoctoral position is available to work on machine learning and information science at Howard University. The projects will involve developing novel machine learning algorithms with a particular focus on semi-supervised classification, active learning, transfer learning and related ideas. The potential candidate will have a strong background in algorithms, statistics and machine learning theory and be conversant with the latest developments. The project will provide excellent training to postdoctoral fellows in the areas of machine learning, statistics and algorithms. In addition to this primary project, the postdoctoral research fellow will also have opportunities to contribute to ongoing research projects in natural language processing and computational biology.
Howard University is a partner in the Center for Science of Information based at Purdue University. The mission of the Center for Science of Information is to advance science and technology through a new quantitative understanding of the representation, communication, and processing of information in biological, physical, social, and engineered systems. Regarding the research group, we are a dynamic group working on machine learning and its applications. We are committed to developing technologies that have significant potential to make an impact and disseminating these results. The laboratory currently has 4 graduate students and on average 5-8 undergraduate researchers. The successful candidate is expected to serve in a leadership role with respect to education and mentoring of graduate and undergraduate students and participate as needed in CSoI related activities.
Applicants should have a Ph.D degree, a strong publication record and excellent oral and written communication skills.
How To Apply
Interested applicants should submit a current CV with a list of three references here https://www.soihub.org/news-events.php?id=681
The position will remain open until filled.
The Center for Science of Information (CSoI) is committed to diversity and equality of opportunity. Applications from women, minorities, and persons with disabilities are especially encouraged. For questions regarding the submission of your application, please contact Kelly Andronicos, Director of Diversity, Center for Science of Information ( [email protected] )