|Location||Austin, United States|
|Date Posted||January 29, 2018|
Perform original and independent research on petroleum engineering problems.
Perform analysis of reserves for unconventional and conventional reservoirs. Perform analysis to understand the factors that influence production rates for unconventional and conventional wells. Analyze and manipulate large data sets. Engage in outside funding activities and promote program with stakeholders. Professional service, including reviewing papers and serving on society committees. Present research results to funding agencies, report results of research in journal articles and books, and present results at professional meetings. Publish research results. Provide service for BEG and JSG Departments. Serving on committees as needed.
Other related functions as assigned.
Class "C" Operator's Driver's License. Applicant selected must provide a current three year Driving
Record from the current state of residence. If not currently a Texas resident, must obtain a Texas Driver's License
within 30 days after entering Texas as a new resident.
PhD with 4 years of experience, or Masters degree and 6 years of experience, or Bachelors degree and 8 years of experience in petroleum engineering. Perform advanced reservoir engineering studies through material balance and reservoir simulation to understand the drainage volume of multi-fracture horizontal wells in unconventional shale resource plays. Provides technical support for sophisticated reservoir evaluations, such as phase behavior analysis, initial pressure estimation, production mechanism and fluid flow in ultra-low permeability reservoirs. Demonstrated experience with reservoir modeling and simulation tools such as Petrel and CMG. Expertise with SAS, Python, or similar programming language. Develop and maintain excellent relationships with universities and be able to mentor students. Demonstrated ability to publish in refereed journals. Ability and desire to work in multi-disciplinary, integrated, 3D model-focused research teams.
Equivalent combination of relevant education and experience may be substituted as appropriate.
Experience performing volumetric calculations and well spacing in unconventional systems. Experience with big data analytics, machine learning, and/or advanced statistical tools. Experience in multiple shale resource plays including the Permian Basin.
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
Climbing of stairs
Occasional weekend, overtime and evening work to meet deadlines. Occasional interstate, intrastate, and international travel.
A criminal history background check will be required
for finalist(s) under consideration for this position.
The retirement plan for this position is Teacher Retirement System
of Texas ( TRS ), subject to the position being at
least 20 hours per week and at least 135 days in length. This
position has the option to elect the Optional Retirement Program
( ORP ) instead of
subject to the position being 40 hours per week and at least
135 days in length.
The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.
If hired, you will be required to complete the federal Employment
Eligibility Verification form, I-9. You will be required to present
to prove your identity and
authorization to work in the United States. Information
from the documents will be submitted to the federal E-Verify
system for verification. Documents must be
presented no later than the third day of employment. Failure to do
so will result in dismissal.
UT Austin is a Tobacco-free Campus