Postdoctoral Position- UC Davis Graduate School of Management

Dr. Sebastian Calonico in the Graduate School of Management at the University of California, Davis, wishes to employ a 100%-time Postdoc who will contribute to several projects employing Regression Discontinuity Designs (RDD) and related causal inference models, with a strong emphasis on advancing statistical methodology.

The project presents significant methodological challenges, including: (i) estimating heterogeneous effects using RDD and causal machine learning methods; (ii) modeling dynamic longitudinal health data; and (iii) developing and refining statistical models and tools to address adherence and censoring.

The postdoctoral researcher will play a critical role in formally developing, extending, and implementing statistical methodologies suited for this context, working closely with an interdisciplinary research team and contributing to broader scientific projects. The ideal candidate should thus have formal training in statistical theory, econometrics, and/or other quantitative research tools.

Application materials for this Postdoctoral position should include a cover letter, vitae/resume, a writing sample, an authorization to release information form, and contact information for three references. This recruitment will have an initial review date; however, the position will remain open until filled. Only completed applications will be reviewed. Applicants should submit their application and supporting materials via our online recruitment system (https://recruit.ucdavis.edu/ ).

Doctoral degree (by start date, 7/1/2025) in a relevant field (e.g., statistics, biostatistics, economics, data science).

Strong foundation in statistical theory, with expertise in developing and implementing formal statistical models for causal inference. Advanced knowledge in econometrics, nonparametric models, and machine learning.

Experience working with large-scale survey data or electronic health record data. Proven experience in statistical model development, including:

Formally deriving properties of causal estimators.

Developing estimation and inference procedures for complex data structures.

Implementing novel statistical techniques for causal analysis.

* Programming proficiency in R or Python.

• 3 required (contact information only)

Names and Contact Information for three references.

As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct, are currently being investigated for misconduct, left a position during an investigation for alleged misconduct, or have filed an appeal with a previous employer.

• "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment, discrimination, dishonesty, or unethical conduct, as defined by the employer.
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To implement this process, UC Davis requires all applicants for any open search to complete, sign, and upload the form entitled, "Authorization to Release Information" into UC RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration.

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