Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems; Collaborate in the development and application of software instantiations of numerical algorithms; Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences; Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions; Engage and interact with multidisciplinary science and engineering teams
Requirements:
Ph.D. degree in applied mathematics, computer/computational science, data science, operations research, or a related field is required; Fundamental knowledge of mathematical optimization, statistics, or machine learning
Text:
Optimization Machine Learning Postdoctoral Researcher Contribute to the design and analysis of algorithms for mathematical optimization and machine learning, and to the modeling for complex design, decision, and inference problems; Collaborate in the development and application of software instantiations of numerical algorithms; Document work and results in the form of journal papers and conference proceedings, and present work and results at scientific meetings and conferences; Bring creative and innovative perspectives by proposing algorithmic approaches, models, and solutions; Engage and interact with multidisciplinary science and engineering teams Ph.D. degree in applied mathematics, computer/computational science, data science, operations research, or a related field is required; Fundamental knowledge of mathematical optimization, statistics, or machine learning
Please click here, if the job didn't load correctly.
Please wait. You are being redirected to the job in 3 seconds.