A leading engineering research institution in Austin is looking for a Postdoctoral Scholar focused on developing sustainability data analytics tools to reduce greenhouse gas emissions in the LNG supply chain. The ideal candidate will hold a recent Ph.D. in Engineering and have experience in statistical modeling and programming. This position offers a salary starting at $55,000 and may involve collaborative projects with industry and government stakeholders.
Qualifications
Ph.D. in Engineering received within the past 3 years or expected by Spring 2022.
Demonstrated experience in statistical modeling and data analysis.
Experience or familiarity with life cycle assessment of energy systems.
Responsibilities
Design and implement models to assess greenhouse gas emissions across the LNG supply chain.
Work with collaborators to validate models and develop user-friendly online interfaces.
Communicate model insights through peer-reviewed publications and presentations.
Skills
Statistical modeling
Data analysis
Scientific programming (Python, Matlab, or R)
Cross-functional teamwork
Education
Ph.D. in Engineering (Systems, Petroleum, Environmental, Mechanical, Electrical, Chemical)
Tools
Python
Matlab
R
Job description
A leading engineering research institution in Austin is looking for a Postdoctoral Scholar focused on developing sustainability data analytics tools to reduce greenhouse gas emissions in the LNG supply chain. The ideal candidate will hold a recent Ph.D. in Engineering and have experience in statistical modeling and programming. This position offers a salary starting at $55,000 and may involve collaborative projects with industry and government stakeholders.