Job Posting Title:

Research Associate

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Hiring Department:

Oden Institute

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Position Open To:

All Applicants

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Weekly Scheduled Hours:

40

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FLSA Status:

Exempt

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Earliest Start Date:

Immediately

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Position Duration:

Expected to Continue

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Location:

UT MAIN CAMPUS

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Job Details:

General Notes

The Oden Institute is an organized research unit that fosters interdisciplinary programs in computational sciences and engineering, computational medicine, computational geosciences, mathematical modeling, applied mathematics, data science, software engineering, and computational visualization. 

UT Austin offers a competitive benefits package that includes:  

• 100% employer-paid basic medical coverage 
• Retirement contributions  
• Paid vacation and sick time 
• Paid holidays 

Please visit our Human Resources (HR) website to learn more about the total benefits offered.

Purpose

To provide research support in the area of computational engineering, predictive digital twins, design optimization, uncertainty quantification, scientific machine learning, and software engineering.

Responsibilities

• Conduct research on methodology for predictive digital twins, including probabilistic graphical models, multifidelity methods, scientific machine learning, surrogate modeling, and uncertainty quantification, with application to biomedical and engineering systems.
• Create and maintain software that implements developed methods.
• Assist in developing papers for scientific journals, and preparing presentations for conference.
• Assist with grant writing, and assist with annual reports, progress reports and research reports for research sponsors.
• Attend conferences and workshops and make presentations as appropriate.
• Act as central resource and mentor to graduate students and post-doctoral fellows in the Willcox Research Group.

Required Qualifications

• Ph.D. in aerospace or mechanical engineering or related field with at least two years of postdoctoral and/or industry experience.
• Experience in developing predictive digital twin methods and applying them in engineering systems.
• Experience in developing surrogate modeling methods and applying them in engineering systems.

Preferred Qualifications

• Familiarity with machine learning methods.
• Software engineering experience.

Salary Range

$100,000 + depending on qualifications

Working Conditions

• May work around standard office conditions.
• Repetitive use of keyboard around workstation.
• Flexible work arrangements, including fully remote work, are possible.

Required Materials

• 
  Resume/CV
  
• 
  Contact information for 3 work references; at least one reference should be from a supervisor
  
• 
  Letter of interest
  

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.

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Employment Eligibility:

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

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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.

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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) [PDF]
• E-Verify Poster (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.