Assistant Scientist (RS3) - Machine Learning

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The Machine Learning Group within Brookhaven National Laboratory’s Computing and Data Science Directorate (CDS) invites exceptional candidates to apply for an Assistant Scientist (RS3) position focused on machine learning (ML). This position offers a unique opportunity to conduct both basic and applied research in concert with collaborators working on diverse scientific and security problems of interest to Brookhaven Lab and the Department of Energy (DOE). Topics of particular interest include novel development and application of machine learning models, especially the large language models, and multi-modal Foundation Models; ML models for computer vision (CV) and natural language processing (NLP) related tasks; and techniques applied to the scientific discovery, i.e., AI for Science.

This position provides access to world-class computing and data resources, such as Brookhaven Lab’s Institutional Cluster and DOE leadership computing facilities. These platforms afford computing at scale, as well as access to unique data sources, ensuring the successful candidate will have the necessary tools to tackle challenging DOE problems of interest. In addition, the successful candidate will join a growing research group with diverse expertise and projects that span laboratory-level and nationally concerned DOE missions. This research staff position presents a distinct opportunity to conduct interdisciplinary collaborative research at Brookhaven Lab.

Essential Duties and Responsibilities:

• Developing novel machine learning models and conduct computational experiments.
• Disseminating research findings in publications, posters, project reports, and presentations.
• Leading research projects.

• Preparing funding proposals and identifying new funding opportunities

Required Knowledge, Skills, and Abilities:

• Bachelor’s degree with eight (8+) years or a Master's degree with six (6+) years or a PhD degree with two (2+) years in computer science or a related field (e.g., engineering, applied mathematics, statistics).
• Solid programming skills and computer science knowledge.
• Proven research experience and good publication track record in machine learning field.
• Experience in working as part of multidisciplinary scientific collaborations.
• Experience in preparing funding proposals and seeking new directions for funding
• Proficient written and verbal communication skills.

Preferred Knowledge, Skills, and Abilities:

• Experience with state-of-the-art foundation models and large vision-language models.
• Experience in large-scale deep learning systems and/or large foundation model, and the ability to train models using GPU/TPU parallelization.
• Familiar with Linux, Bash, Git, Docker, and/or other software development tools.

Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $103650 - $172050 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

About Us

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, learn more at BNL | Opportunities for Veterans at Brookhaven National Laboratory.

Equal Opportunity/Affirmative Action Employer

Brookhaven Science Associates is an equal opportunity employer that values inclusion and diversity at our Lab. We are committed to ensuring that all qualified applicants receive consideration for employment and will not be discriminated against on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, status as a veteran, disability or any other federal, state or local protected class.  BSA takes affirmative action in support of its policy and to advance in employment individuals who are minorities, women, protected veterans, and individuals with disabilities. We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.  *VEVRAA Federal Contractor

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