Postdoctoral Scholar, Department Of Petroleum And Geosystems Engineering, Cockrell School Of Engineering
University of Texas at Austin
Austin, Texas, United States
Base: $55,000; bonus/equity: not specified; benefi...
Ph.d. in engineering within past 3 years
Statistical modeling and data analysis experience
Scientific programming in python, matlab, or r
This position focuses on developing open-source sustainability data analytics tools related to reducing greenhouse gas emissions across the liquefied natural gas (LNG) supply chain
Job Summary
This position focuses on developing open-source sustainability data analytics tools related to reducing greenhouse gas emissions across the liquefied natural gas (LNG) supply chain.
The successful candidate will design, implement, and test models to assess emissions mitigation policies and communicate insights to academia, industry, and government stakeholders.
The role offers a competitive salary of $55,000 plus benefits within the renowned Cockrell School of Engineering at The University of Texas at Austin.
Matching Summary
This position focuses on developing open-source sustainability data analytics tools related to reducing greenhouse gas emissions across the liquefied natural gas (LNG) supply chain.
Salary
Base: $55,000; Bonus/Equity: Not specified; Benefits: Teacher Retirement System of Texas (TRS) or Optional Retirement Program (ORP)
Skills & Requirements
Must-have
Ph.D. in Engineering within past 3 years
Statistical modeling and data analysis experience
Scientific programming in Python, Matlab, or R
Life cycle assessment of energy systems
Atmospheric dispersion modeling knowledge
Nice-to-have
Oil and gas operations familiarity
Geospatial analysis of emissions
Excellent written and oral communication skills
Ability to reach diverse audiences
Experience with policy-relevant insights
Key Requirements
Ph.D. in Engineering received within past 3 years
Degree expected by Spring 2022
Demonstrated experience in statistical modeling
Familiarity with life cycle assessment or atmospheric dispersion modeling