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Predoctoral Appointee - Machine Learning for Probablistic Fo

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Job Details
Job Order Number
JC150794780
Company Name
Argonne National Laboratory
Physical Address

Lemont, IL 60439
Job Description

Predoctoral Appointee \- Machine Learning for Probablistic Forecasting

Requisition Number: 407307 Location: Lemont, IL

Functional Area: Research and Development Division: MCS\-Mathematics and Computer Science

Employment Category: Temporary 6 Months or Greater Shift: 8:30 \- 5:00

Level \(Grade\): 916040 Share: Facebook LinkedIn Twitter

The Laboratory for Applied Mathematics, Numerical Software, and Statistics \(LANS\) in the Mathematics and Computer Science Division at Argonne is seeking predoctoral candidates in the area of statistics and scientific machine learning\. Predoctoral appointees will research machine\-learning algorithms for probabilistic forecasting, particularly as applied to short\- and medium\-term weather forecasting, develop methods for information\-preserving input data reduction, and apply methods for probabilistic deep learning, with a view to improving probabilistic forecasts\.

The MCS Division at Argonne National Laboratory is a leader in the design of numerical algorithms, development of software tools and technology, and simulation of applications of interest to the U\.S\. Department of Energy\. Predoctoral appointees will participate in a collegial and stimulating environment, including access to multidisciplinary collaborations, world\-class mathematical libraries, special\-purpose hardware for machine learning, and the US’s first exascale supercomputer\.

An expected/recent Masters \(or equivalent\) degree in applied mathematics, statistics, or related fields\. Knowledge of advanced statistical techniques, as applied in a research setting\. Knowledge of techniques of dimensional reduction\. Experience with machine learning, and particularly with deep learning methods\. Experience with Tensorflow\. Effective analytical and problem\-solving skills to contribute creative solutions to complex problems\.

Applicants should include contact information for at least two references\.

Additional Information:

U\.S\. citizenship/permanent residency is not required\.

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 encourages minorities, women, veterans and individuals with disabilities to apply for employment\. Argonne considers all qualified applicants for employment without regard to 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\.

Argonne employees, and certain guest researchers and contractors, are subject to particular restrictions related to participation in Foreign Government Talent Recruitment Programs, as defined and detailed in United States Department of Energy Order 486\.1\. You will be asked to disclose any such participation in the application phase for review by Argonne’s Legal Department\.


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