Postdoc: Stochastic Modeling for Renewable Energy Grids

The International Society for Bayesian Analysis; Santa Barbara (CA); On-site; USD 50,000 - 70,000; Full time

Job summary

A leading academic institution seeks a Postdoctoral Scholar in Stochastic Modeling for Renewable Energy. This role involves collaborative research supporting advanced studies in stochastic simulations within the dynamic field of renewable energies. Candidates will engage in significant statistical and computational methodologies in a diverse academic setting, promoting both research and educational excellence.

Qualifications

• Completed all requirements for a Ph.D. except the dissertation.
• Ph.D. conferred by anticipated appointment start date.
• Strong programming skills in R and Python.

Responsibilities

• Collaborative research on stochastic models and simulations of renewable energy.
• Develop data-driven large-scale stochastic simulations.
• Potential involvement in national laboratories activities.

Skills

stochastic simulation

spatio-temporal statistics

energy finance

machine learning

programming in R

programming in Python

Education

Ph.D. or equivalent in Statistics, Financial Engineering, Applied Mathematics

Job description

A leading academic institution seeks a Postdoctoral Scholar in Stochastic Modeling for Renewable Energy. This role involves collaborative research supporting advanced studies in stochastic simulations within the dynamic field of renewable energies. Candidates will engage in significant statistical and computational methodologies in a diverse academic setting, promoting both research and educational excellence.