Postdoctoral Appointee in Statistical Modeling
Job posting number: #7103911 (Ref:413572)
Posted: June 22, 2022
Application Deadline: Open Until Filled
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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Argonne is an equal opportunity employer, and we value diversity in our workforce. As an equal employment opportunity and affirmative action employer, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne prohibits discrimination or harassment based on an individual's age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.