Postdoctoral Research Associate in Bayesian Inference, Modeling, and Knowledge

The International Society for Bayesian Analysis; Oak Ridge (TN); On-site; USD 50,000 - 65,000; Full time

Job summary

The International Society for Bayesian Analysis seeks a Postdoctoral Research Associate to develop and apply Bayesian techniques within interdisciplinary teams at the ORNL. The role focuses on advancing solutions for complex problems in spatial data science, offering opportunities to contribute to impactful projects.

Qualifications

• PhD in Statistics, Applied Mathematics, or a related field required.
• Expertise in Bayesian methods and statistical modeling essential.
• Experience with spatial and spatio-temporal data is a plus.

Responsibilities

• Develop and apply Bayesian methods to interdisciplinary problems.
• Collaborate on data fusion and inference projects.
• Contribute to scalable solutions for geographic data sciences.

Job description

Postdoctoral Research Associate in Bayesian Inference, Modeling, and Knowledge

Feb 4, 2020

The Geographic Data Science (GDS) group at the US Department of Energy’s Oak Ridge National Laboratory (ORNL) is seeking a postdoctoral candidate to advance and apply Bayesian approaches to spatial and spatio-temporal data. The successful candidate will work as part of an interdisciplinary team on fast-paced projects, focusing on delivering scalable, generalized solutions that benefit the wider community. The role involves creatively developing and applying Bayesian methods to solve complex interdisciplinary problems in data fusion, inference, and network analysis within the geographic data sciences.