- Doctoral Degree
- Bachelor's Degree
- Master's Degree
- Research Experience
- Deep Learning
- Communication Skills
Requisition Number: 406657 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): RD2
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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 an Assistant Computer Scientist position 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:
Bachelor’s degree and 5+ years; Master’s and 3+ years; Doctorate and 0 years, or equivalent.
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
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, and in accordance with our core values of impact, safety, respect, integrity and teamwork, 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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