Postdoctoral Scholar

Statistics Interest Group; Los Angeles (CA); On-site; USD 55,000 - 75,000; Full time

Job summary

Postdoctoral position within the UCLA Department of Biostatistics, in the Statistics Research Group, is available immediately. The appointee will work at the intersection of diffusion models, Bayesian inference, and probabilistic programming languages.

The successful candidate will join a collaborative lab environment and engage with graduate students, fellow researchers, and faculty to advance statistical methodology and its applications in biostatistics.

Qualifications

• Recent doctorate in statistics, computer science, applied math, or related field.
• Strong written and oral communication skills.
• Strong data science background with Python and diffusion model experience.

Responsibilities

• Lead multiple projects in a top research institution.
• Collaborate with graduate students and researchers; contribute to manuscript preparation.

Skills

Python

Diffusion models

Education

PhD in statistics/computer science/applied math

Job description

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A postdoctoral position is immediately available within Dr. Andrew Holbrook's research group at the Department of Biostatistics at the University of California, Los Angeles (UCLA). We are seeking a creative and collaborative individual interested in working at the intersection of *Diffusion Models*, *Bayesian Inference* and *Probabilistic Programming Languages*.
The successful candidate will benefit from a supportive lab environment and the highly collaborative UCLA community.

Duties and Responsibilities

• (1) In this role, the appointee will actively lead multiple projects and immerse themself at one of the world's leading research institutions, while learning skills in statistics, deep learning and AI;
• (2) The appointee will also have the opportunity to strengthen their leadership and collaboration skills by interacting with graduate students, writing fellowship applications, and assisting with manuscript preparation.

Position Qualifications

• (1) A recent doctorate degree in the field of statistics, computer science, applied math, or related disciplines;
• (2) Strong written and oral communication skills;
• (3) Strong data science background with Python and diffusion model experience.