Postdoctoral Researcher

2 weeks ago


Lemont, Illinois, United States Argonne National Laboratory Full time
Job Title: Postdoctoral Appointee

The Mathematics and Computer Science Division at Argonne National Laboratory is seeking a highly skilled Postdoctoral Appointee to contribute to cutting-edge research in machine learning. The successful candidate will work on the development and optimization of federated learning techniques to enable the training of large-scale foundation models across distributed clients.

Key Responsibilities:
  • Design and implement federated learning architectures to improve model performance and scalability.
  • Collaborate with scientists and researchers to develop and optimize machine learning models.
  • Contribute to the conceptual framework and implementation of federated learning techniques.
  • Ensure privacy and security in data handling and model deployment.
Requirements:
  • Ph.D. in computer science, statistics, data science, or a related field.
  • Proficiency in coding with Python and experience in C, C++, or other comparable languages.
  • Strong background in machine learning techniques and familiarity with ML frameworks.
  • Excellent communication and collaboration skills.
Preferred Qualifications:
  • Experience with federated learning and foundation models.
  • Expertise in managing large-scale training datasets using GPU-enabled computing.
  • Familiarity with privacy-preserving machine learning techniques.
  • Experience with distributed computing and scaling machine learning models.

Argonne National Laboratory is an equal employment opportunity and affirmative action employer, committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. We encourage minorities, women, veterans, and individuals with disabilities to apply for employment.



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