Research Associate – Machine Learning (RS1/RS2)

at  Brookhaven National Laboratory

The AI/ML Department of 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). 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) novel development of deep learning ML models and adaptation of existing ones for scientific and security applications; (ii) ML model optimization for inference speed and deployment for real-time analysis; and (iii) AI model training for analog in-memory computing.
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 with a highly competitive salary.

Essential Duties and Responsibilities:

• Conduct research and develop novel AI/ML algorithms and solutions.
• Disseminate research findings in publications, posters, project reports, presentations, and other related media.
• Work in interdisciplinary collaborations with subject matter experts.
• Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.
• May formulate own high-quality research ideas and directions pertaining to the DOE mission.
• May contribute to preparing funding proposals.

Required Knowledge, Skills, and Abilities:

• Bachelor’s degree with 2 or more years of relevant work experience, or a Master’s degree with 1 or more years of relevant work experience, or a PhD degree in computer science or a related field (e.g., engineering, applied mathematics, statistics).
• Strong theoretical understanding and practical experience in deep learning-based machine learning.
• Strong research experience (e.g., evidenced by publication record).
• Excellent programming skills and in-depth computer science knowledge.

Preferred Knowledge, Skills, and Abilities:

• Practical experience developing novel AI/ML algorithms and models.
• Knowledge about hardware architectures, compilers, neural network optimization.
• Basic knowledge of integrated circuit design, including digital simulation and logic synthesis.
• methods, and other related topics pertaining to fast AI model inference.
• Experience working in multidisciplinary collaborations.
• Effective communication skills.

Compensation:

• Brookhaven Laboratory is committed to providing fair, equitable and competitive compensation. This is a multi-level role and the full salary range for this position is $74750 - $155650 / year. You will be placed at the level and salary commensurate with your experience. Salary offers will be commensurate with the final candidate’s qualification, education and experience and considered with the internal peer group.

• Conduct research and develop novel AI/ML algorithms and solutions.
• Disseminate research findings in publications, posters, project reports, presentations, and other related media.
• Work in interdisciplinary collaborations with subject matter experts.
• Communicate research progress, challenges and achievements, and engage within and beyond the group on new potential collaborations.
• May formulate own high-quality research ideas and directions pertaining to the DOE mission.
• May contribute to preparing funding proposals