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Postdoctoral Appointee - Scientific Machine Learning

Postdoctoral Appointee \- Scientific Machine Learning
Requisition Number: 404740 Location: Lemont, IL
Functional Area: Research and Development Division: MCS\-Mathematics and Computer Science
Employment Category: Temporary 6 Months or Greater Education Required: Doctorate Degree
Level \(Grade\): 700 Shift: 8:30 \- 5:00 Share: Facebook LinkedIn Twitter
Math and Computer Sciences at Argonne National Laboratory provides intellectual and technical leadership in the computing sciences \-\-\- applied mathematics, computer science, and computational science\. To this end, we pursue the most important scientific problems of our nation ? problems that require innovative computational tools and technology for transformative science during the next several decades\.
The Mathematics and Computer Science Division at Argonne National Laboratory seeks well\-prepared candidates for postdoctoral appointee positions in scientific machine learning\. The successful candidate will be performing machine learning research and development for scientific discovery on some of the world?s fastest supercomputers\. This work will include development of scalable semi supervised, unsupervised, and reinforcement learning with flexibility on the class of methods pursued based on wide range of scientific applications such as high energy physics, high performance computing, weather modeling, and urban planning\. You will actively collaborate with computer scientists and mathematicians and have the opportunity to build an independent research program\.
Ideal candidates are expected to have:
+ Experience in machine/deep learning, high\-performance computing, scientific computing or mathematical optimization\.
+ Programming experience in C, C\+\+, and/or Python\.
+ Experience in Keras, Tensorflow, Pytorch, or Chainer\.
+ Good communication skills both verbal and written\.
+ Software development practices and techniques for computational and data\-intensive science problems\.
Desirable knowledge and skills:
+ Ability to understand and implement methods from latest machine learning articles
+ Experience and skills in interdisciplinary research involving computer scientists and discipline scientists\.
+ Experience with parallel programming such as MPI\.
+ Ability to provide project leadership\.
+ Collaborative skills including the ability to work well with other laboratories and universities, supercomputer centers, and industry\.
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\.


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