PostDoc – Machine Learning

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 department of the Computing and Data Sciences (CDS) directorate at Brookhaven National Laboratory (BNL) invites exceptional candidates to apply for a post-doctoral research associate position in machine learning (ML) and artificial intelligence (AI). 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) brain-inspired neuromorphic computing algorithm and hardware codesign; (ii) development of novel AI/ML models and adaptation of existing approaches for scientific applications.

The position provides access to world-class 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 BNL’s and the DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs.
Essential Duties and Responsibilities

• Conduct research in brain-inspired neuromorphic computing for various problems relating to microelectronics and scientific discovery.
• Work in interdisciplinary collaborations with subject matter experts on various aspects of scientific data generation and processing and methods evaluation.
• Formulate high-quality research ideas and directions in collaboration with mentors in the department.
• Communicate research progress, challenges, and achievements, and engage within and beyond the department on new potential collaborations.

Position Requirements
Required Knowledge, Skills, and Abilities:
 

• Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics, etc.) awarded within the past 5 years.
• Strong theoretical understanding and practical experience in neuromorphic computing and/or AI/ML.
• Strong publication record.
• Excellent programming and computer science or electrical engineering skills.

Preferred Knowledge, Skills, And Abilities

• Experience with neuromorphic computing.
• Experience with hardware design using emerging devices (FeFET, ReRAM, SPD, etc.)
• Experience working in multidisciplinary collaborations.

Other Information:

• Initial 2-year 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 post-doc and/or in an R&D position, excluding time associated with family planning, military service, illness, or other life-changing events

• This is a fully onsite position located at BNL in Upton, NY

Brookhaven National Laboratory is committed to providing fair, equitable and competitive compensation. The full salary range for this position is $71900 - $119000 / year. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

Brookhaven National Laboratory requires all non-badged personnel including visitors to produce a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory – view more information at www.bnl.gov/real-id.  This is due to nationwide identification requirements for federal site access as required by the federal REAL ID Act.  Those not in possession of a REAL ID-compliant document will not be permitted to access the site which includes access to the Laboratory for interviews. 

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

Guided by our core values of integrity, responsibility, innovation, respect, and teamwork, Brookhaven Science Associates is an Equal Employment Opportunity Employer-Vets/Disabled. We are committed to fostering a respectful and collaborative environment that fuels scientific discovery. We consider all qualified applicants without regard to any characteristic protected by law. All qualified individuals are encouraged to apply. 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: https://www.directives.doe.gov/directives-documents/400-series/0486.1-BOrder-a/@@images/file