Engineering a world of possibilities
The Colorado School of Mines (Mines) seeks qualified candidates to...
provide research and energy modeling support for multiple ongoing
projects in the Mines Energy Modeling Lab.
These positions are 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. Energy Modeling Research
Scientists 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.
Positions may become available throughout the year. The hourly wage
and hours available per week are determined on a case-by-case basis
with factors that include the complexity of research and
specialized skills. Annual terms and reappointment may depend on
performance and/or continued availability of funding.
The research scientists will collaborate in a team environment with
other funded researchers and faculty at Mines and interact with
research team partners at other US institutions. The available
positions span a number of objectives related to the energy
research and modeling performed by the group. The successful
candidates 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. Applications will be reviewed on a
continuous basis until the positions are filled.
Successful candidates must be legally authorized to work in the
United States by time of application; Mines will not provide visa
sponsorship for these positions.
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 breakers and problem
solvers. Since our earliest days, a Mines education has been and
continues to be a transformational opportunity, with one of the
strongest returns on investment out there for talented STEM
students of all backgrounds.
At the same time, Mines faculty members are pushing their fields in
new directions, whether that’s manufacturing, space resources,
quantum engineering, carbon capture or more. Mines was recently
classified as a R1 “Very High Activity” research institution by
Carnegie, a notable feat for any university but particularly one of
our size.
Are you looking for an inspiring, mission-driven workplace where
you can contribute to solving the world’s problems and educating
the next generation of change makers? Are you an individual who
values a diverse and inclusive community, where our different
perspectives, experiences and cultures enrich the educational and
work experience?
Look to Mines.
Equal Opportunity
Mines’ commitment to nondiscrimination, affirmative action, equal
opportunity and equal access is reflected in the administration of
its policies, procedures, programs and activities and in its
efforts to achieve a diverse student body and workforce.
Through its policies, procedures and resources, Mines complies with
federal law, Colorado state law, administrative regulations,
executive orders and other legal requirements to prevent
discrimination (including harassment or retaliation) within the
Mines campus community and to address potential allegations of
inequity or concerns for safety.
Hourly Rate and Benefits
$38/hr - $72/hr
Research Scientist Levels available commensurate with the candidate
degree and experience and as budget allows:
Research Support Hourly V
PhD or MS degree in related field and more than five years of
experience
Research Support Hourly IV
PhD or MS degree in related field and more than three years of
experience
Research Support Hourly III
MS degree in related field plus one year of experience
Research Support Hourly II
BS degree in related field plus two years of
experience
Research Support Hourly I
BS degree in related field plus one year of experience
All Mines employees have access to discount programs through the
State of Colorado and free tickets for Mines Athletics home games,
as well as access to the on-campus Recreation Center (fitness
classes and training, swimming pool and more), equipment rentals
through the Outdoor Rec Center, the Colorado State Employee
Assistance Program (CSEAP), and backup child and elder care. Coming
soon is an on-campus daycare center. For more information about
benefits at Mines, go to mines.edu/human-resources/benefits .
How to Apply
Interested applicants should apply online as soon as
possible. Applications will continue to be considered until the
position is filled. References will not be contacted until later in
the selection process and you will be informed before that contact
is made.
Applications must include: 1) a cover letter stating area(s) of
interest that directly relates to this posted ad; 2) curriculum
vitae
Contact Dorie Gelber Chen, Human Resources, at [email protected]
with any questions about this opportunity.
Background Investigation Required
Yes
Colorado's premier engineering and applied science university
for 150 years and counting
Evergreen CO USA