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Rice University

Postdoctoral Associate in Statistics: Statistical Learning, Uncertainty Quantification, and Conformal Prediction Rice University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full-time, term-limited postdoctoral position funded by grant, soft and/or restricted funds. Salary is $60,000–$65,000 annually, commensurate with qualifications and relevant research experience. Continued employment depends on funding availability, ongoing research needs, and satisfactory performance.

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Country

United States

University

Rice University

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Keywords

Computer Science
Mathematics
Artificial Intelligence
Uncertainty Analysis
Statistics
Methodologie
ML
compututional

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About this position

Rice University’s Department of Statistics is hiring a Postdoctoral Associate in statistics for research in statistical learning, with emphasis on uncertainty quantification, conformal prediction, and reliable machine learning under distribution shift.

The postdoctoral researcher will work with Dr. Judy Wang and contribute to independent and collaborative projects in statistical methodology, theory, computation, and related areas of machine learning and artificial intelligence. The role is designed for rigorous methodological research on the reliability and uncertainty of modern statistical and ML methods.

This is a full-time on-campus position at Rice University in Houston, Texas, United States. The appointment is term-limited and funded by grant/soft/restricted funds. Salary is listed as $60,000–$65,000 annually, commensurate with qualifications and research experience.

Eligibility requires a Ph.D. or equivalent doctoral degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment. No additional experience beyond graduate research is required. Preferred applicants have a strong background in statistical theory or machine learning, experience in statistical methodology/theory/computation or AI methods, and proficiency with Python, R, or similar scientific computing tools.

The position may include opportunities to participate in seminars, colloquia, scholarly activities, and possibly teach one course depending on departmental needs and mutual interest. The PI is open to candidates who may require visa sponsorship.

Applications are reviewed on a rolling basis until filled. Applicants should upload a resume in the Supporting Documents section of the online application, preferably as a PDF.

Funding details

Full-time, term-limited postdoctoral position funded by grant, soft and/or restricted funds. Salary is $60,000–$65,000 annually, commensurate with qualifications and relevant research experience. Continued employment depends on funding availability, ongoing research needs, and satisfactory performance.

What's required

Ph.D. or equivalent doctoral degree in Statistics, Biostatistics, Mathematics, Computer Science, or a related quantitative field by the time of appointment. No additional experience beyond graduate research is required. Preferred qualifications include a strong background in statistical theory, machine learning, or related areas; demonstrated interest or experience in statistical methodology, theory, computation, or AI methods; proficiency in scientific computing using Python, R, or equivalent tools; and strong written and oral communication skills. The PI is open to qualified candidates who may require visa sponsorship.

How to apply

Attach a resume in the Supporting Documents section of the online application, preferably as a PDF. Apply through the Rice University careers portal and submit the application for the Postdoctoral Associate - Statistics posting. Applications are reviewed on a rolling basis until the position is filled.

More information can be found here

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