Postdoctoral Research Associate Machine Learning
Postdoctoral Research Associate Machine Learning
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Job Description
Brookhaven National Laboratory is committed to employee success and we believe that a comprehensive employee benefits program is an important and meaningful part of the compensation employees receive. Review more information at BNL Benefits Program
The Machine Learning Group of the Computational Science Initiative (CSI) at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a postdoctoral research associate position in 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 BNL and the Department of Energy (DOE). Topics of particular interest include: (i) development of novel machine learning models and adaptation of existing ones for scientific applications; (ii) Large Language Models (LLMs) and multimodal Foundation Models (iii) Large visionlanguage models (VLM) and computer vision techniques; and (iv) techniques supporting endusers of applied ML methods including interpretability/explainability (XAI) and reliability.
The position provides access to worldclass computing resources such as the BNL Institutional Cluster and DOE leadership computing facilities. Access to these platforms will allow computing at scale and together with access to unique data sources will ensure that the successful candidate has the necessary resources to solve challenging DOE problems of interest. The successful candidate will join a growing research group with diverse expertise and projects spanning the full breadth of BNLs and the DOEs missions. This postdoc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs.
Essential Duties And Responsibilities
- Conduct research in ML LLMs foundation models visionlanguage models and computer vision for various problems relating to scientific discovery.
- Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.
- Formulate highquality 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.
Required Knowledge Skills and Abilities:
- Ph.D. in computer science or a related field (e.g. engineering applied mathematics statistics) awarded within 5 years.
- Strong theoretical understanding and practical experience in machine learning foundation models and computer vision.
- Strong publication record in machine learning field.
- Excellent programming and computer science skills.
Preferred Knowledge Skills And Abilities
- Practical experience developing novel ML LLM or CV algorithms and models.
- Experience with stateoftheart foundation models and large visionlanguage models.
- Experience in largescale deep learning systems and/or large foundation model and the ability to train models using GPU/TPU parallelization.
- Experience in multimodality data analysis (e.g. image video text).
- Experience working in multidisciplinary collaborations.
Compensation:
- Brookhaven Laboratory is committed to providing fair equitable and competitive compensation. The full salary range for this position is $70200 $116200 / year. Salary offers will be commensurate with the final candidates qualification education and experience and considered with the internal peer group.
Other Information:
- Initial 2year term appointment subject to renewal contingent on performance and funding
- Candidates must have received a Ph.D. by the commencement of employment.
- BNL policy requires that after obtaining a PhD eligible candidates for research associate appointments may not exceed a combined total of 5 years of relevant work experience as a postdoc and/or in an R&D position excluding time associated with family planning military service illness or other lifechanging events
- This is a fully onsite position located at BNL
About Us
Brookhaven National Laboratory () delivers discovery science and transformative technology to power and secure the nations future. Brookhaven Lab is a multidisciplinary laboratory with seven Nobel Prizewinning 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 Energys (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
BSA employees are subject to restrictions related to participation in Foreign Government Talent Recruitment Programs as defined and detailed in United States Department of Energy Order 486.1A. You will be asked to disclose any such participation at the time of hire for review by Brookhaven. The full text of the Order may be found at: Experience:
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Employment Type
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