Postdoctoral Position Machine Learning applied to Defense and Security

Job description

Description Description of the Work: Machine Learning has many applications in the field of Defense and Security. These include applications in environmental safety, maritime security, cyber security, and many more. The purpose of this postdoctoral fellowship will be to develop and apply machine learning/data mining/big data analysis tools to the field. The ideal candidate will hold a Ph.D. in Computer Science and more specifically, in the area of Machine Learning, have prior experience in defense and security applications or in domains that use tools similar to those required in defense and security applications. The candidate must have an interest in a variety of machine learning techniques such as one-class learning or outlier detection, approaches to deal with the class imbalance problem, big data analysis tools such as Spark, and data stream learning techniques. The principal duties to be carried out include: Leading a group of student in carrying in out a pilot project from data gathering to result analysis. Assist in preparing a grant proposal for DARPA, ONR or other appropriate agency based on the pilot study. Assist in manuscript preparation. Assist in carrying out side st...