Brookhaven National Laboratory is looking to advance its machine learning capabilities to solve complex scientific and security problems of interest to the Department of Energy.
Requirements
- Strong theoretical understanding and practical experience in deep learning-based machine learning
- 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
- Excellent programming skills and in-depth computer science knowledge
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
- Formulate own high-quality research ideas and directions pertaining to the DOE mission
- Contribute to preparing funding proposals
Other
- Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics, physics) awarded within the last 5 years
- Effective communication skills
- Experience working in multidisciplinary collaborations
- Must have received a Ph.D. by the commencement of employment
- Initial 2-year term appointment subject to renewal contingent on performance and funding
- Must have a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory
