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Research Associate

Research Associate

Zymtronix Catalytic Systems IncQatar
منذ أكثر من 30 يومًا
الوصف الوظيفي

The College of Agriculture and Life Sciences (CALS) is a pioneer of purpose-driven science and Cornell University’s second largest college. We work across disciplines to tackle the challenges of our time through world-renowned research, education, and outreach.

Position Function

The Research Associate will be responsible for developing a suite of statistical downscaling tests focusing on the representation of meteorological variables and derived quantities, including extremes and diagnostic measures determined to be of interest to DoD stakeholders and lead the implementation of tests for multiple statistical downscaled data products, gridded observation-based data sets, and station data.

The Research Associate will lead the development of a battery of tests and corresponding metrics having the ability to assess which downscaling methods are most likely to provide robust, reliable information to discriminate between them for our proposed demonstration installations. The Research Associate will co-lead project meetings, present work at projects meetings, annual symposia and other conferences, publish results in peer-reviewed journals, and contribute materials to the fit-for-purpose guidance and decision support tool.

Anticipated Division of Time

Data analysis (60%) :

  • Collection and analysis of complex data; may research, tabulate, graph and map complex data.
  • Conduct statistical analyses
  • Analyze and interpret quantitative data.
  • Develop a suite of statistical downscaling tests focusing on the representation of meteorological variables and derived quantities at select sites.
  • Develop fit for purpose guidance for select sites.
  • Participate in decision support tool design, utilization and research / data analysis, and suggest improvements in decision support tool.

Communication (10%) :

  • Lead the interfacing with project partners and the sponsor on the interpretation of your results
  • Coordinate with project partners on data curation for shared database
  • Reporting (20%) :

  • Develop manuscripts reporting research results in peer-reviewed literature.
  • Formulate project reports for sponsors.
  • Present work on project calls, at annual program meetings, and conferences and workshops
  • Co-lead the development of research directions within the project and of follow-on research plans
  • Other position-related responsibilities (10%) :

  • Participate in projects or other duties as assigned with occasional work responsibility falling above or below current classification.
  • Completion of any university required compliance trainings.
  • Requirements

  • PhD in physics, atmospheric science, or related field.
  • 2+ years of relevant experience in working with large gridded climatological datasets.
  • Experience in Microsoft Office Suite (Excel, Word, and PowerPoint).
  • Proficiency in Python or other data analysis software.
  • Ability to navigate HPC environments.
  • Familiarity with federal and regional climate data sources, especially downscaled climate data sets.
  • Excellent written and oral communication skills.
  • Ability to pursue research independently and as part of a team.
  • Ability to cultivate and develop inclusive working relationships with students, faculty, staff, and community members.
  • Supervision Exercised

    While student supervision is not formally part of the project and job description, the successful candidate is encouraged to work with other group members on related or different research and provide mentorship and guidance when collaborating. No formal supervisory requirements.

    Cornell University is an equal opportunity employer and welcomes students, faculty, and staff with diverse backgrounds from across the globe to pursue world-class education and career opportunities.

    Cornell University embraces diversity in its workforce and seeks job candidates who will contribute to a climate that supports students, faculty, and staff of all identities and backgrounds.

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