Postdoctoral Associate - Statistics

Statistics Interest Group; Houston (TX); On-site; USD 60,000 - 65,000; Full time

Job summary

Rice University seeks a Postdoctoral Associate in Statistics to conduct independent and collaborative research in statistical learning, with focus on uncertainty quantification, conformal prediction, and robust machine learning. The role emphasizes developing new theory and methods, publishing manuscripts, and presenting findings at seminars and conferences.

The position requires a Ph.D. or equivalent by appointment, strong background in statistics and machine learning, and proficiency with

Qualifications

• Ph.D. or equivalent doctoral degree by the time of appointment.
• Strong background in statistical theory, machine learning, or related areas.
• Proficiency in scientific computing using Python, R, or equivalent tools.
• Strong written and oral communication skills.

Responsibilities

• Conducts independent and collaborative research in statistical learning, including uncertainty quantification, conformal prediction, and reliable machine learning under distribution shift.
• Develops new statistical methodology, theory, computational approaches, or related AI methods.
• Designs and conducts theoretical and computational studies to evaluate statistical and machine learning methods.
• Analyzes and interprets research findings and communicates results to faculty, collaborators, and the broader research community.
• Prepares manuscripts, technical reports, presentations, and other scholarly materials.
• Present research through seminars, conferences, colloquia, and other professional venues.
• Participates in the intellectual and scholarly activities of the Department of Statistics.
• Contributes to collaborative research projects and related project activities.
• Participates in professional and career development activities appropriate to the postdoctoral appointment.
• Performs all other duties as assigned.

Skills

Statistical theory

Machine learning

Communication skills

AI methods

Education

Ph.D. or equivalent doctoral degree

Tools

Python

R

Job description

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Rice University – Postdoctoral Associate – Statistics

Company Name Rice University

Position Title Postdoctoral Associate - Statistics

Company Information

The Department of Statistics at Rice University is dedicated to the advancement of the scientific discipline of statistics, the practical application of statistics to the solution of real-world problems, the education of the students in statistics and other disciplines, and outreach to the greater community.

To achieve this mission, our faculty maintains a wide range of research interests in applied statistics related to engineering, natural sciences, business, medicine, and social sciences. Close working relationships between faculty and students provide rigorous training in both theoretical statistics and applied research.

Duties and Responsibilities

• Conducts independent and collaborative research in statistical learning, including uncertainty quantification, conformal prediction, and reliable machine learning under distribution shift.
• Develops new statistical methodology, theory, computational approaches, or related artificial intelligence methods.
• Designs and conducts theoretical and computational studies to evaluate statistical and machine learning methods.
• Analyzes and interprets research findings and communicates results to faculty, collaborators, and the broader research community.
• Prepares manuscripts, technical reports, presentations, and other scholarly materials.
• Present research through seminars, conferences, colloquia, and other professional venues.
• Participates in the intellectual and scholarly activities of the Department of Statistics.
• Contributes to collaborative research projects and related project activities.
• Participates in professional and career development activities appropriate to the postdoctoral appointment.
• Performs all other duties as assigned.

Position Qualifications

Minimum Requirements:

• 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.

Preferences:

• 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.
• Strong written and oral communication skills.

Salary Range Hiring Range: $60,000–$65,000 annually. Salary will be commensurate with qualifications and relevant research experience.

Rice University HR | Benefits: https://knowledgecafe.rice.edu/benefits