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Position: Post Doc
Institution: Illinois Institute of Technology
Location: Chicago, Illinois, United States
Duties: A postdoctoral researcher is sought to develop machine learning models for stochastic dynamic systems, particularly those arising in meteorology, power systems management, and actuarial science. The position shall require design, analysis, and implementation of novel methodological extensions to neural networks and Gaussian processes both for temporal and spatial-temporal applications in prediction and uncertainty quantification
Requirements: The successful candidate must show strong computational math, applied probability and stochastics, and differential equations skills combined with disciplined scientific programming codes as evidenced by, for example, well documented data science research codes in Github and publications. Preference shall be given to candidates with both a sound theoretical approach and engineering know-how of applying machine learning to solve stochastic modeling problems with TensorFlow and/or PyTorch in Python
   
Text: Skip to Main Content Toggle navigation Home Search Jobs Create Account Log In Help Post Doc Bookmark this Posting | Print Preview | Apply for this Job Position Details Position Title Post Doc Requisition # S00704P FLSA Exempt Location IIT-Mies Campus (MC), 10 West 35th St., Chicago Department Applied Mathematics GENERAL DESCRIPTION Research in Machine Learning and Stochastic Modeling. Special Schedule Requirements Full time position EEOC Statement Illinois Institute of Technology (IIT) is an Equal Opportunity/Affirmative Action employers, abide by all applicable provisions of federal, state and local law. IIT does not discriminate in their employment policies and practices on the basis of race, color, religion except where religion is a Bona Fide Occupational Qualification for the job, national origin or ancestry, sex, sexual orientation, age, disability, marital status, veteran status or any other classification protected by applicable law. Education & Experience The successful candidate must show strong computational math, applied probability and stochastics, and differential equations skills combined with disciplined scientific programming codes as evidenced by, for example, well documented data science research codes in Github and publications. Knowledge & Skills Preference shall be given to candidates with both a sound theoretical approach and engineering know-how of applying machine learning to solve stochastic modeling problems with TensorFlow and/or PyTorch in Python. List any certifications or licenses that are either required or helpful in performing the job, designating whether required or preferred. N/A Key Responsibilities Key Responsibility A postdoctoral researcher is sought to develop machine learning models for stochastic dynamic systems, particularly those arising in meteorology, power systems management, and actuarial science. The position shall require design, analysis, and implementation of novel methodological extensions to neural networks and Gaussian processes both for temporal and spatial-temporal applications in prediction and uncertainty quantification Percentage Of Time 100.00 Work Hours Monday - Friday, 8:30 a.m. - 5:00 p.m. Position Category Full Time Posting Date 12/23/2020 Closing Date Posted Until Filled Yes Quicklink for Posting https://iit7.peopleadmin.com/postings/6990 Supplemental Questions Required fields are indicated with an asterisk (*). Documents Needed to Apply Required Documents Resume Cover Letter Optional Documents Back to top To ensure the security of your data, you will be logged out due to inactivity in 3 minutes at . Any data not saved will be lost. Click 'OK' to keep your session active.
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