PostDoc – Machine Learning
About the role
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).
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.
Requirements
- 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.
Position Requirements
- 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.
Brookhaven National Laboratory
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.