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Computer Scientist -- Machine Learning Research Scientist

Information Sciences Institute Waltham, Massachusetts

Information Sciences Institute (ISI), a unit of USC’s Viterbi School of Engineering, is a world leader in the research and development of advanced information processing, computing, and communications technologies. ISI operates one of the world’s largest academic high-performance computing clusters. ISI has three research campuses:  one in Marina Del Rey, CA; one in Arlington, VA; and one in Waltham, MA.

*This position is located in Waltham, MA.*

ISI is looking for talented, ambitious researchers to lead and impact state-of-the-art machine learning (ML) research. Successful candidates for this position will generate research ideas, develop solutions to complex ML problems, execute research projects in close collaboration with others, publish their research advances in top tier conferences and journals, and demonstrate leadership in the greater professional community. Candidates will also demonstrate a solid foundation in machine learning, possess strong programming skills, and have experience in conducting data-driven machine learning research as applied to fields such as natural language processing, computer vision, or data science.

ISI’s research center in Waltham, MA welcomes applications from computer scientists in any of the following areas:

  • Information extraction
  • Natural language processing
  • Social networks and social media analytics
  • Machine learning (especially deep learning)
  • Knowledge representation and reasoning
  • Computer vision

Examples of current research projects include:

  • Automatic extraction and organization of causal knowledge from diverse information sources (databases, news articles, social media, etc.)
  • Development of a multi-lingual common semantic space to enable cross-language information transfer (translation, retrieval, and summarization) for text and speech in low-resource languages (e.g. Amharic, Uzbek)
  • Creation of a new (open source) information extraction toolkit to enable reasoning and experimentation using diverse document interpretations

A Ph.D. in Computer Science or a related field is strongly preferred; in exceptional cases, equivalent research work experience will be considered as a substitute for a PhD.

The University of Southern California values diversity and is committed to equal opportunity in employment.

Minimum Education: Master's degree, Combined experience/education as substitute for minimum education

Minimum Experience: 3 years

Minimum Field of Expertise: Knowledge of research processes and computer science.

REQ20048203 Posted Date: 08/03/2017

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