Computational Postdoctoral Fellow For AI-driven Seismic Imaging

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Position Open To:

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Weekly Scheduled Hours:

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Job Details:

General Notes

This is a fixed-term position for one year, located at the J.J. Pickle Research Campus in North Austin.

Purpose

This position will enhance the The Bureau of Economic Geology's competency in computational seismology, specifically AI-driven full-waveform inversion using diffusion-model approaches.

Responsibilities

• Perform research in AI-driven waveform inversion using diffusion models.
• Investigating 3D diffusion model's affordability and possibility in seismic imaging.
• Perform research in joint seismic inversion for velocity and density models.

• Ph.D. in Geophysics, Applied Mathematics, Computational Science, or a closely related field, with demonstrated research experience in seismic imaging, waveform inversion, or inverse problems.
• Strong background in full waveform inversion and wave-equation-based modeling, including familiarity with adjoint-state methods, gradient-based optimization, and multi-scale inversion strategies.
• Proven expertise in machine learning and deep learning for scientific applications, including hands-on experience with neural network architectures (e.g., CNNs, autoencoders, physics-informed or hybrid models) and modern frameworks such as PyTorch or TensorFlow.
• Advanced programming and high-performance computing skills, including proficiency in Python and/or C/C++, experience with GPU acceleration, and the ability to develop, test, and maintain research-grade software for large-scale numerical experiments.
• PhD must have been obtained within 3 years from date of hire.

• Ph.D. degree from a computation-intensive program, such as applied mathematics, scientific computing, or a closely related field, with training that emphasizes large-scale numerical modeling and high-performance computing.
• Demonstrated research experience with advanced generative AI methods, particularly modern probabilistic or generative frameworks such as denoising diffusion probabilistic models (DDPMs), score-based models, or related approaches, ideally applied to inverse problems or physical sciences.
• Prior academic or research affiliation with the University of Texas at Austin, including close collaboration with the Oden Institute for Computational Engineering and Sciences and/or the Bureau of Economic Geology, or an established record of collaborative research with these institutions.
• Strong interdisciplinary collaboration experience, particularly at the interface of seismic inversion, computational science, and machine learning, with evidence of independently leading or co-leading research projects.

$65,000

• May work around standard office conditions

• Repetitive use of a keyboard at a workstation

• Resume/CV

• 3 work references with their contact information
• Letter of interest

Importantfor 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 thatALLRequired 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 questionspresented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.

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Employment Eligibility:

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Retirement Plan Eligibility:

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Background Checks:

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

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Equal Opportunity Employer:

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.

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Pay Transparency:

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor's legal duty to furnish information.

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Employment Eligibility Verification:

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

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E-Verify:

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university's company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following:

• E-Verify Poster (English and Spanish) [PDF]
• Right to Work Poster (English) [PDF]
• Right to Work Poster (Spanish) [PDF]

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Compliance:

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act). If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031.

The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.