Postdoctoral Fellow in the Department of Earth Science

Rice University

United States

 

Position Summary

The Rice University Earth, Environmental, and Planetary Sciences department seeks a postdoctoral researcher in paleoclimate and climate modeling. The researcher will work with Dr. Sylvia Dee in the newly-forming Climate, Water & Energy lab at Rice. This fully funded researcher will be expected to address problems in tropical climate changes and ENSO dynamics over the last 2000 years. The initial project is pre-defined (contact Dr. Dee for details), but the postdoc will have flexility in choosing additional research directions.

This position requires a strong background in climate science & modeling, as well as big data methods for managing paleoclimate archives.

Education Required

PhD or other Doctoral Degree

Major/Discipline

Computer science, mathematics, or a related field.

Experience Required

6 months

Type of Experience

Experience in numerical/statistical, and geospatial modeling.

Skills Required

 - Scientific experimental and analytical techniques.
- Must understand and comply with all lab safety protocols.
- Advanced programming in Python.
- Advanced programming in Matlab.
- Basic command of Fortran.
- Experience with climate model output, (preferably NCAR CESM) analysis and visualization.
- Background in ENSO and Last Millennium climate dynamics.
- Experience working with paleoclimate data assimilation products (LMRPHYDA) is a plus.
- Experience with high performance computing.

Physical Demands

- Must be able to work in an office and/or laboratory environment. 
- Must be able to work in a lab environment, often at a computer workstation or bench for much of the working day.
- Must be able to move between buildings widely separated on a college campus.
- Should be able to lift up to 15 pounds.

Working Conditions

- May require long hours and availability outside normal working hours depending on experiments and/or work on major projects, or research needs. 
- The research environment can be fast-paced and sometimes stressful due to interruptions that require the successful candidate to have good multi-tasking skills.
- Punctuality and regular attendance expected.
- Smoke free environment.

Security Sensitive

 Yes

Special Instructions to Applicants

Please include:

  • CV including publications
  • 1-2 page research statement which summarizes of relevant Ph.D. work and interests
  • Names & contact information for 3 academic references

 

Quick Link for Posting

http://jobs.rice.edu/postings/16719

Job Duty Name

Research

Communication of Scientific Findings

Mentoring

Administrative Duties

Description of Job Duty

- Has a high degree of autonomy and therefore 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
- Participates in the research activities of their advisor’s group and with other faculty members in the department
- Conducts faculty directed and independent research, analyzing and interpreting experimental results and suggesting new experiments

- Communicates the results of scientific research through oral presentations at scientific conferences and written articles to be submitted for publication
- Attends important scientific conferences to present research findings and disseminate knowledge to peers

- Mentors graduate and undergraduate students

- Other duties as assigned by the PI
- May be asked to present research to the department and grad students

Applicant Documents

Required Documents
  1. Cover Letter
  2. Curriculum Vitae
  3. Research Statement
  4. References/Recommendation Request
Optional Documents

Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * Do you have a PhD or other doctoral degree in computer science, mathematics or related field?
    • Yes
    • No
  2. * Do you have six months of experience in numerical/statistical, and geospatial modeling?
    • Yes
    • No


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