Postdoctoral Appointee - HPC and Machine Learning
Job posting number: #7084814
Posted: September 7, 2021
Application Deadline: Open Until Filled
(1) SDR will use numerical analysis, machine learning, and deep learning to optimize the specific design for a broad range of data reduction techniques.
(2) The project will explore efficient machine learning based search algorithms to determine online the optimal data reduction solution (model and parameters).
(3) The project will explore how to satisfy user-requirements (fidelity, speed, reduction ratio) efficiently and accurately.
(4) SDR will support multiple parallel heterogeneous environments and will be evaluated comprehensively by using diverse scientific applications on DOE leadership-class supercomputers.
Recent or soon-to-be completed PhD degree in computer science, data analytics, or a related discipline.
Familiarity with machine learning to a certain extent
Strong code development skills with C/C++
Familiarity with parallel environment (openMP, MPI)
Strong publication record
Strong skill in written and oral communications
Good mathematics background
Experience in development of large-scale parallel systems
Familiarity with various data compression techniques
Python or Java experience
Deep learning familiarity
Long-Term (Fixed Term)
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, gender expression, 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 Sponsored or Affiliated Activities, as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation in the application phase for review by Argonne's Legal Department.
All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case-by-case basis. Please be advised that Argonne positions require upon hire (or may require in the future) for the individual be to obtain a government access authorization that involves additional background check requirements. Failure to obtain or maintain such government access authorization could result in the withdrawal of a job offer or future termination of employment.
Argonne is an equal opportunity employer, and we value diversity in our workforce. 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 prohibits discrimination or harassment based on an individual's 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.