Postdoctoral Data Scientist

Job Details

General Notes

This position is located at the J.J. Pickle Research Campus in North Austin.

Purpose

The ideal candidate will have a working knowledge or some familiarity with prominent workflows in data science and machine learning, data ETL (Extraction, Transformation and Loading), various commercial and open source fluid flow simulation packages (included but not limited to CMG, Eclipse, etc) and be able to contribute to the codes / algorithm development (Python) in a group of Engineers, Data Scientists, and Geologist.

Responsibilities

• Research and development in reservoir engineering and data science with focus on application to carbon capture, utilization and storage.
• Fund raising from state, federal and industry to carry out fundamental and applied research in relevant topics.
• Public outreach and communication of the results of the research including attending conferences and meetings.

Required Qualifications

Expertise in developing various machine learning models and neural networks. Ability to implement the practical application of advanced data & analytics methodologies (e.

g., data mining, fuzzy logic, ANN s, AI, machine learning, statistics, etc.) to geoscience. Proven capacity for innovative, creative scientific analysis.

Ph.D. in petroleum engineering, computer sciences, electrical engineering, civil and environmental engineering, geophysics, or related field.

Proven publication skills and verbal communication skills with a variety of audiences. Ability to work both independently and effectively in a group.

Ability to work effectively with multiple disciplines, including engineers, data scientist, geologists. PhD must have been received within 3 years from date of hire.

Preferred Qualifications

Experience in the application of various advanced data & analytics and statistical methodologies to large geophysical, petrophysical, geologic, reservoir and other subsurface data sets.

Knowledge of Carbon Capture and Storage (CCS). Broad skills base with deep expertise in certain areas, such as geomechanics, stratigraphy, 3D seismic interpretation, log analysis, and / or basin modelling.

Familiarity with fluid flow modeling (CCUS modeling experience is a plus).

Salary Range

$65,000

Working Conditions

May work around standard office conditions

Repetitive use of a keyboard at a workstation

Occasional weekend, overtime, and evening work to meet deadlines

Occasional travel intrastate, interstate, international

Occasional fieldwork as necessary

Required Materials

Resume / CV

3 work references with their contact information

Important for applicants who are NOT current university employees or contingent workers : You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications.

Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section;

you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded.

Once your job application has been submitted, you cannot make changes.

Important for Current university employees and contingent workers : As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs.

If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply.

This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume.

In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.

that were noted above.

Employment Eligibility :

Please make sure you meet all the required qualifications and you can perform all of the essential functions with or without a reasonable accommodation.

Retirement Plan Eligibility :

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 TRS, subject to the position being 40 hours per week and at least 135 days in length.

Background Checks :

A criminal history background check will be required for finalist(s) under consideration for this position.