Job ID 3394 Date posted 09/16/2022
Brookhaven National Laboratory (www. bnl.gov) delivers discovery science and transformative technology to power and secure the nation's future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prize-winning discoveries, 37 R&D 100 Awards, and more than 70 years of pioneering research. The Lab is primarily supported by the U.S. Department of Energy's (DOE) Office of Science. Brookhaven Science Associates (BSA) operates and manages the Laboratory for DOE. BSA is a partnership between Battelle and The Research Foundation for the State University of New York on behalf of Stony Brook University. BSA salutes our veterans and active military members with careers that leverage the skills and unique experience they gained while serving our country. Our organization fully supports service members transitioning from active duty to civilian life and pledge's our commitment to actively hire veterans of the U.S. Armed Forces. Military personnel who have been formally trained or have relevant experience obtained while in service may meet educational requirements and are encouraged to apply for job opportunities at BSA.
Position Description
The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML) and natural language processing (NLP). This position offers a unique opportunity to conduct research in emerging interdisciplinary research problems at the intersection of data science, machine learning, and natural language processing with applications in diverse scientific domains of interest to BNL and the Department of Energy (DOE).
Topics of specific interest include: (i) novel development and adaptation of existing ML and NLP models, for scientific and security applications; (ii) exploitation of large frozen models (e.g. large language models) to support or enhance application-specific tasks, including via development of helper models and integration with external resources; (iii) multi-modal and multi- task large ML models; and (iv) interpretability/explainability and visualization techniques for scientific ML applications.
The position includes access to world-class HPC resources, such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale and will ensure that the successful candidate will have the necessary resources to solve challenging DOE problems of interest.
This program provides full support for a period of two years at CSI with possible extension. Candidates must have received a doctorate (Ph.D.) in applied mathematics, statistics, computer science, or a related field (e.g., mathematics, engineering, operations research, physics) within the past five years. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs with a highly competitive salary.
Essential Duties and Responsibilities:
Conduct research in various machine learning and natural language processing problems in the context of scientific discovery and workflow acceleration.
Implement and adapt ML and NLP algorithms for scientific and security applications.
Work in interdisciplinary collaborations with applied domain scientists on various aspects of scientific data generation, collection, curation and processing.
Formulate own high-quality research ideas and directions in collaboration with mentors in the group.
Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.
Position Requirements
Preferred Knowledge, Skills, and Abilities:
OTHER INFORMATION: (add if applicable)
POST-DOC
BNL policy requires that research associate appointments be made to individuals who have received their doctorate within the past five years.
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