Postdoctoral Research Associate I (Geosciences)

We seek an early career scientist with background in organic geochemistry, statistics, and Bayesian modeling to pursue analyses of paleoclimate biomarker data.

The ideal candidate should be proficient with both laboratory analysis techniques for biomarkers and statistical analysis using Python. The candidate will be expected to lead research on using biomarkers to reconstruct past climate changes, including presenting research results at national and international meetings, and drafting papers for publication in peer-reviewed journals.

Outstanding UA benefits include health, dental, vision, and life insurance; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; access to UA recreation and cultural activities; and more!

The University of Arizona has been recognized for our innovative work-life programs.

• Compile biomarker SST proxy data including data produced in the Organic Geochemistry Lab at The University of Arizona.
• Build statistical models to explain biomarker proxy response to environmental forcing, using Bayesian inference.
• Present results at national and international meetings.
• Draft papers summarizing results to be submitted to peer reviewed journals.

Knowledge, Skills, and Abilities:

• Ability to present examples of peer-reviewed publications.
• Demonstrate experience in innovative research.
• Strong communication skills.

• PhD in Geosciences or related field must be attained by time of hire.

• Experience with Python, Matlab, or other programming languages.
• Experience with biomarker temperature proxy data.
• Experience with the lab techniques to generate biomarker proxy data.
• Experience with Bayesian modeling.