Research Associate, Energy Modeling Lab

Engineering a world of possibilities

A full-time Research Associate position in Energy Modeling Lab is being offered through the Applied Mathematics and Statistics department in collaboration with the Payne Institute for Public Policy.  

The Energy Modeling Lab (EEMDL (utexas.edu)) includes the Hammerling Research Group, one of the leading research groups for modeling and data analysis of methane emissions and monitoring. This position will lead one or more research projects in the group, focused on data analysis and modeling of methane emissions at various temporal and spatial scales. The position will interface with other research groups engaged in collaborative projects. 

Annual terms and reappointment may depend on performance and/or continued availability of funding.

The Research Associate will collaborate in a team environment with other funded researchers and faculty at Mines and interact with research team partners at other US institutions.  This position will span a number of objectives related to the energy research and modeling performed by the group.  The successful candidate will build strong and positive working relationships with students, faculty, and administrators, as well as external community and business partners as required by the project. Occasional travel for meetings with collaborators and scientific conferences is likely.

The successful candidates must be legally authorized to work in the United States by time of application; Mines will not provide visa sponsorship for this position.

Primary Responsibilities

• Lead independent research activities in collaboration with supervisor
• Design and conduct energy research and modeling using the latest tools, processes, and procedures
• Work closely with research group and partner universities to facilitate research
• Participate in weekly research group meetings
• Participate in larger project team meetings and support project reporting activities required by project sponsor
• Train and mentor students as required for project deliverables
• Maintain a strong understanding of current literature and ongoing research efforts at other research institutions
• Prepare manuscripts for journal and conference submissions
• Present results of research at appropriate forums

Additional responsibilities

• Provide support for and/or lead the preparation and submission of proposals for future research funding for the research group
• Other duties as assigned and appropriate to the needs of the research group

Minimum Qualifications

• Expertise and interest in statistical modeling and machine learning
• Interest in statistical modeling and machine learning for energy applications
• Strong computational skills including programming experience
• Experience acquiring, analyzing, and doing quality control on large data sets
• Demonstrated ability to manage multiple projects and priorities

Preferred Qualifications

• A master’s or PhD degree in computational sciences, geosciences, data science, statistics, or related fields is preferred.
• Prior experience in near-field atmospheric phenomena, including dispersion, emissions transport, sampling, and measurement methods would be a great plus!
• GIS (open source preferred), Google Earth Engine (GEE), and/or other spatial data tools.
• Experience with Linux/Unix platforms, High Performance Computing, and modern code practice, including the use of online code repositories (e.g., Github).
• Excellent written and oral communication skills, particularly as evidenced by conference presentations or in-prep or published articles in peer-reviewed scientific publications.
• Prior experience working in a multi-university collaborative environment.
• Interest in or experience with contributing to diverse, equitable, and inclusive research groups.

About Mines & Golden, CO 

When the world looks for answers, the world looks to Mines. 

 

Colorado School of Mines is a top-ranked public university solving the grand challenges facing our society, particularly those related to the Earth, energy and the environment. Founded in 1874 with specialties in mining and metallurgy, Mines’ scope and mission have continually expanded to meet the needs of industry and society. Today, we are the No. 38 public university in the nation, recognized for our innovation and undergraduate teaching in science, technology engineering and math (U.S. News and World Report, 2023). 

 

Mines graduates are change makers, boundary br