Postdoctoral Appointee - HPC and Machine Learning

Argonne National Laboratory

Lemont, IL

Job posting number: #7084814

Posted: September 7, 2021

Application Deadline: Open Until Filled

Job Description

Argonne National Laboratory is seeking a Postdoctoral Appointee that has experience with HPC (high performance computing) and ML (machine learning) to join an exciting project. This project is to develop a scalable dynamic scientific data reduction (SDR) framework (and practical library/toolkit) that can automatically construct the best-qualified data reduction solution in terms of user requirements and dynamic data characteristics, significantly improving data reduction quality and performance over the existing general-purpose lossy compressors. Four critical thrusts will be explored.

(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.
Position Requirements

Required experience:

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
Preferred experience:

Good mathematics background
Experience in development of large-scale parallel systems
Familiarity with various data compression techniques
Python or Java experience
GPU experience
Deep learning familiarity
Job Family

Postdoctoral Family
Job Profile

Postdoctoral Appointee
Worker Type

Long-Term (Fixed Term)
Time Type

Full time
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.

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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.


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