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Data Scientist

The Department of Earth, Environmental, and Planetary Sciences at Rice University seeks an experienced and innovative Data Scientist to build a new Data Science for the Earth initiative and enhance activities in the department’s VISUALIZATION LABORATORY. The candidate will be willing to cross disciplines and support the software and hardware needs of research in geophysics, climate science, remote sensing, and geochemistry provided domain knowledge from students and faculty. In addition to serving as research/visualization support, successful applicants pursue externally-funded research initiatives. Similarly, the candidate will be willing to actively learn new techniques that enhance departmental research. In particular, we view machine learning, advanced 3D visualization and mapping, Bayesian statistics, inverse modeling, and optimization as central to our department’s current and future computational needs. This position will collaborate with Rice’s GIS lab and Office of Information Technology to make use of Rice’s existing geospatial and high performance computing infrastructure.

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Essential Duties:

  • The candidate is expected to participate in the research activities of their advisor’s group and with other faculty members in the department
  • Conducts specialized research and experiments
  • Collects, tracks and analyzes data through the use of spreadsheets and databases
  • Communicates results through verbal presentations, written reports, and written articles submitted for publication in conjunction with PI
  • May assist in the administration of research project

Job Specific Functions:

  • Attends important scientific conferences to present research findings and disseminate knowledge to peers
  • With the PI and Research Scientist, enforces laboratory safety standards and protocols
  • Works with the PI to maximize the Visualization Center equipment usage
  • Mentors of graduate and undergraduate students
  • Reconciles expense reports
  • May be asked to present research to the department and grad students
  • Stays current on experimental techniques
  • Designs and assembles experimental apparatus
  • Procures required parts for apparatus
  • The Data Scientist has a high degree of autonomy and must be able to work effectively without close supervision; excellent oral and written communication skills for interacting with a diverse group of faculty, staff and students as well as vendor personnel and other non-Rice individuals is required