Research Scientist, Spatial Statistics & HPC Analytics

The International Society for Bayesian Analysis; Oak Ridge (TN); On-site; USD 80,000 - 120,000; Full time

Job summary

An esteemed research institution is seeking a Research Scientist for its Spatial Statistics Group in Oak Ridge, TN. The ideal candidate will develop advanced statistical and machine-learning methods to tackle real-world challenges in dynamic population estimation and infrastructure resilience. Candidates should hold a Ph.D. in a relevant field and possess strong programming skills in Python or R, along with knowledge of spatial data techniques. Join a versatile team and contribute to impactful research and mentoring opportunities.

Qualifications

• Ph.D. or equivalent experience in Statistics, Applied Math, Computer Science, or related fields.
• Practical knowledge of spatial/spatio-temporal data and probabilistic modeling.
• Proficiency in programming languages like Python or R.

Responsibilities

• Develop and apply advanced statistical and machine-learning methods.
• Construct scalable, HPC-enabled workflows for various analytics tasks.
• Engage with a diverse team and contribute through publications.

Skills

Statistical modeling

Machine learning

Programming in Python

Programming in R

Data analysis

Education

Ph.D. in Statistics, Applied Math, or Computer Science

Job description

An esteemed research institution is seeking a Research Scientist for its Spatial Statistics Group in Oak Ridge, TN. The ideal candidate will develop advanced statistical and machine-learning methods to tackle real-world challenges in dynamic population estimation and infrastructure resilience. Candidates should hold a Ph.D. in a relevant field and possess strong programming skills in Python or R, along with knowledge of spatial data techniques. Join a versatile team and contribute to impactful research and mentoring opportunities.