Full Job Description
Job Posting Title:
Department of Geological Sciences - Postdoctoral Fellow
Department of Geological Sciences
Position Open To:
Weekly Scheduled Hours:
Earliest Start Date:
Expected to Continue Until Aug 31, 2022
UT MAIN CAMPUS
The researcher will work with the team to develop and integrate multiscale models using the AI/ML framework. Specifically, this will involve the Noah-MP and WRF modeling system, and its upscaling and downscaling with the E3SM earth system model and the ADCIRC+SWAN storm surge and wave modeling system. This is part of a multiyear project funded by the US Department of Energy. The candidate will be based at UT Austin and be affiliated in the Department of Geological Sciences, Jackson School of Geosciences, or the Oden Institute of Computational Engineering and Sciences or the Department of Civil, Architectural and Environmental Engineering. The researcher will get an opportunity to actively collaborate with different research groups at UT Austin, and also with the Pacific Northwest National Laboratory.
The initial appointment is for one year, with possible annual renewal for another two years based on performance. This is a full-time appointment and the Postdoc will be co-supervised by Drs. Zong-Liang Yang and Dev Niyogi. Start date is as soon as possible but is flexible between October 2021 to April 2022.
To apply, Interested individuals should send a 1–2 page cover letter and unofficial university transcripts summarizing qualifications and research experience, CV, and names and contact information of three references to Dr. Zong-Liang Yang (firstname.lastname@example.org) and Dr. Dev Niyogi (email@example.com).
Applications will be reviewed as they are received and will continue until the position is filled. An initial screening of the candidates will occur by Nov 1, 2021, and the position will be open until filled.
We embrace the ideas and perspectives of a diverse set of talented people — of every background, race and life experience. We strive to create an environment where all community members — students, faculty and staff — are empowered to be true to themselves, to participate fully in our vibrant university culture and to thrive as individuals. Creating and maintaining a healthy campus community where all members feel welcomed, valued and respected is a foundation pillar for the University of Texas.
We seek a candidate with strong technical and communication skills as demonstrated through prior work and publications. The project activities of the postdoc include, but are not limited to:
Developing metrics and diagnostics for evaluating coastal process modeling and for model calibration
Evaluating WRF and E3SM capabilities for coastal processes as relevant for hydrological and hydraulic modeling along the U.S. Gulf Coast and compare results with other models [e.g. ADCIRC+SWAN and HEC-RAS]
Developing ML-based data assimilation capability to constrain WRF and E3SM model simulations with satellite and ground-based soil moisture data
Performing numerical experiments and synthesis related to the study of land–atmosphere interaction and developing scenarios for land-falling hurricanes and other extreme rainfall events
Presenting results during regular group meetings and at professional society meetings
Publishing in high-impact peer-reviewed journals
PhD (or equivalent international degree) in Atmospheric Sciences, Civil Engineering, Environment Water Resources, Applied Math, Statistics, or related field required within 3 years by the start date.
Strong data science skills and research experience in global or regional atmospheric modeling (e.g., E3SM, CESM, WRF, HWRF, WRF-Hydro, ELM, NWM, HEC-RAS) as evidenced by peer-reviewed publications.
Research skills and interests in processing and downscaling climate model outputs and satellite datasets.
Demonstrated written and verbal communication skills, ability to think critically, and experience in leading high-impact scientific publications. Ability to work with a cross-disciplinary team.
May work around standard office conditions
Repetitive use of a keyboard at a workstation
Use of manual dexterity
3 work references with their contact information; 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.
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.
A criminal history background check will be required for finalist(s) under consideration for this position.
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.
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.
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.
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.