Postdoctoral Fellow: Climate ML & Anomaly Detection

The International Society for Bayesian Analysis; Albuquerque (NM); On-site; USD 60,000 - 100,000; Full time

Job summary

An innovative research opportunity awaits at a leading national laboratory, where you will join a dynamic team of experts tackling significant national security challenges. As a Postdoctoral candidate, you will engage in groundbreaking projects that blend statistical science with machine learning, focusing on climate impacts and anomaly detection in real-time data. This role is perfect for those passionate about applying advanced statistical methodologies to pressing issues, offering a chance to contribute to impactful research in a collaborative environment. If you are eager to push the boundaries of statistical science and make a difference, this position is for you.

Qualifications

• PhD in Statistics or a related field is required.
• Experience with machine learning and statistical modeling techniques.

Responsibilities

• Develop statistical methods for climate impact analysis.
• Collaborate with interdisciplinary teams on data-driven projects.

Skills

Statistical Analysis

Machine Learning

Bayesian Methods

Data Analysis

Statistical Modeling

Education

PhD in Statistics or related field

Tools

Python

R

MATLAB

Job description

An innovative research opportunity awaits at a leading national laboratory, where you will join a dynamic team of experts tackling significant national security challenges. As a Postdoctoral candidate, you will engage in groundbreaking projects that blend statistical science with machine learning, focusing on climate impacts and anomaly detection in real-time data. This role is perfect for those passionate about applying advanced statistical methodologies to pressing issues, offering a chance to contribute to impactful research in a collaborative environment. If you are eager to push the boundaries of statistical science and make a difference, this position is for you.