This is an exciting opportunity for an enthusiastic Ph.D.-level or equivalent scientist to work on cutting-edge intelligent systems research applied to real operational problems.
Sample projects:
- Using ideas from genetics and linguistics to identify the lineage of malware and characterize the attacker.
- Using machine learning techniques, such as statistical relational reasoning to learn social networks from a variety of data sources.
- Researching and applying new probabilistic modeling and reasoning techniques, including probabilistic programming languages, to intelligence analysis.
You will use a number of fields including probabilistic modeling, machine learning, programming languages, natural language understanding, cyber security, databases, and graph theory. You will develop new theory, models, or algorithms, as well as implem! ent research prototypes based on your ideas. You will write research reports and proposals, and you will have the opportunity to attend conferences and have your work published.
Major Responsibilities/Activities:
- Develop probabilistic models using advanced representations and algorithms and tools for working with advanced probabilistic representations.
- Apply machine learning techniques to problems, and, where relevant, develop new techniques.
- Envision new research ideas, write proposals based on your ideas, carry out the research, and document progress.
- Design and implement research prototype software.
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