Philip will continue his project to improve AI method for predicting hydrologic system as well as flood forecasting. The activities include develop training datasets for a testing region in Midwest, train the AI model (parameters selection and adjustment), and model validation. The results will be reported in a manuscript for publication. Phillip has completed initial planning and part of the work. The visiting student position can support him to continue and complete the rest of work.
Education and Experience Requirements
•The entirety of the appointment must be conducted within the United States.
•Must be 18 years or older at the time the appointment begins.
•Applicants must be:
‒Currently enrolled in undergraduate or graduate studies at an accredited institution
‒Graduated from an accredited institution within the past 3 months; or
‒Actively enrolled in a graduate program at an accredited institution
Job Family
Visiting Student GraduateJob Profile
Visiting Student - GraduateWorker Type
Contingent WorkerTime Type
Part timeScheduled Weekly Hours
16EEO Information
As an equal employment opportunity employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a safe and welcoming workplace that fosters collaborative scientific discovery and innovation. Argonne encourages everyone to apply for employment. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law.
Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
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