Postdoctoral Appointee in Statistical Modeling
We seek to hire a postdoctoral appointee at the Mathematics and Computer Science Division at Argonne National Laboratory. In this role you will develop statistical and machine learning techniques along with associated software in order to characterize, detect and model extreme events of complex systems. In particular, focused on environmental extremes and characterize their impacts on human systems and infrastructures such as power grids. You will be challenged by large datasets, complex interactions of extremes and highly non-linear phenomena.
You will work with a team of statisticians, applied mathematicians and computational scientists based at Argonne and in collaboration with Rutgers University, and will have access to world-class high-performance computing resources.
- A recent or soon-to-be-completed Ph.D. in Statistics, Applied Mathematics or Data Science and 0+3 years of experience
- Expertise in statistical extremes and statistical modeling
- Experience with scientific data analysis (computer model simulations, observational data)
- Knowledge of machine learning techniques and software (e.g. Python, Julia)
Job FamilyPostdoctoral Family
Job ProfilePostdoctoral Appointee
Worker TypeLong-Term (Fixed Term)
Time TypeFull time
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