[ES_JOBS_NET] Fully Funded Graduate Student Opportunities: Carbon Management and Subsurface Hydrogeology

[Ting Xiao]

Dear Colleagues,

*Dr. Ting Xiao’s research group* in the Ingram School of Engineering at *Texas
State University* *(**TXST), San Marcos, Texas*, is recruiting multiple
highly motivated *M.S. and Ph.D. students* for fully funded research
opportunities in:

Ÿ   Groundwater hydrology and reactive transport,

Ÿ   Geologic carbon storage (GCS),

Ÿ   Geological reservoir simulation,

Ÿ   Coupled processes in subsurface systems,

Ÿ   Subsurface resource recovery and environmental sustainability, and

Ÿ   Machine learning and artificial intelligence for subsurface
applications.



The research group is currently involved in multiple *U.S. Department of
Energy (DOE)*-funded *carbon management and **geologic CO2 storage (GCS)
projects*, as well as research on sustainable subsurface resource recovery,
environmental protection, and machine learning approaches for accelerating
real-time decision-making in subsurface applications.



*Funding and Research Opportunities*:

Selected students will receive:

Ÿ   Full tuition coverage.

Ÿ   Competitive annual stipend ($30,000-45,000).

Ÿ   Opportunities to collaborate with researchers at TXST and with external
academic and industry partners.

Ÿ   Opportunities to conduct interdisciplinary research addressing
important challenges in subsurface energy, carbon management, and
environmental sustainability.



*Required Qualifications*:

Ÿ   A Bachelor's degree with a strong academic background in STEM, geology,
or a related field.

Ÿ   Strong motivation to learn and work in an interdisciplinary research
environment.

Ÿ   Ability to work independently and collaboratively.

Ÿ   Strong interests in computational modeling, numerical simulation,
and/or programming.



*Preferred Qualifications*:

Ÿ   Master’s degree in engineering, geology, or a related field.

Ÿ   Experience with laboratory experiments and/or programming.

Ÿ   Research experience, peer-reviewed journal publications, and/or
conference presentations.

Ÿ   Experience with subsurface flow simulations, such as MODFLOW, ECLIPSE,
tNavigator, CMG, or TOUGHREACT.

Ÿ   Experience with machine learning and artificial intelligence.



*How to Apply*:

Interested candidates are encouraged to contact Dr. Ting Xiao at
ting.xiao at txstate.edu with the subject line “Graduate (Master/Ph.D.)
Student Position”.



Please include:

(1) A one-page cover letter describing your interest, prior experience, and
skills relevant to the research areas),

(2) Curriculum vitae, and

(3) Unofficial transcripts.



The TXST Civil Engineering graduate programs welcome applicants holding
either a bachelor’s or master’s degree. Candidates should also submit an
official application through the program website. February 1st is the
priority application deadline for the Fall semester.
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