Predoctoral Fellow Full-time

Predoctoral Fellow

The University of Texas, Department of Economics is hiring one full-time Predoctoral Fellow to start in Fall 2026 to work with The Empirical Macroeconomics Policy Center of Texas (EMPCT). EMPCT is dedicated to promoting, supporting, and diffusing empirical macroeconomic research that speaks directly to important policy questions. Fellows work under the direction of Professors Coibion, Pandalai-Nayar, Boehm, Bhattarai, Drenik, Pfaeuti and other macro faculty. The fellowship will include tasks that provide preparation for graduate school, such as analyzing data, developing statistical models, creating presentations, and editing research papers. Fellows will interact regularly with professors and their collaborators, participate in meetings, attend seminars and other department events.

Position is for a year from the date of hire. Funding will be provided by the Dept. of Economics Empirical Macro Economics Policy Center of Texas (EMPCT). Funding is available now for 1 full-time predoctoral hire.

As an organization focused on economic mobility, EMPCT values the many backgrounds, perspectives, and lived experiences in our community. We welcome applications from U.S. based and international students. We may be able to consider J1 visa applications depending on qualifications. Applicants should be completing (or have completed) a master's degree, have strong quantitative skills, and experience with empirical research methods. Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, MATLAB, and/or Python.

Responsibilities

• Analyzing data, developing statistical models
• Creating presentations
• Editing research papers

Required Qualifications

• Applicants should be completing (or have completed) master's degree, have strong quantitative skills, and experience with empirical research methods.
• Applicants with a master's degree are required to have at least four years related experience.

Relevant education and experience may be substituted as appropriate.

Preferred Qualifications

Candidates with research experience are strongly preferred, especially those with programming experience in Stata, SAS, R, MATLAB, and/or Python.

Salary Range

$70,000

Working Conditions

Standard office environment

Work Shift

8am – 5pm

Required Materials

• Resume/CV
• Cover letter
• Two (2) letters of reference

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.

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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