Brookhaven National Laboratory is looking to advance its research efforts in natural language processing and machine learning for science and security applications.
Requirements
- Strong theoretical understanding and practical experience in deep learning-based machine learning and natural language processing.
- Practical experience developing novel ML and NLP algorithms and models and applying such models to scientific or security problems.
- Excellent programming and computer science skills.
Responsibilities
- Conduct research in ML and NLP for various problems relating to scientific discovery, workflow acceleration, and national security.
- Implement, adapt, and evaluate ML and NLP algorithms for scientific and security applications.
- Formulate own high-quality research ideas and execute on them in collaboration with mentors in the department.
- Communicate research progress, challenges, and achievements, and engage within and beyond the department on new potential collaborations.
Other
- Ph.D. in computer science or a related field (e.g., engineering, applied mathematics, statistics) awarded within the last 5 years.
- Strong research experience (e.g. evidenced by publication record).
- 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
- Must have a REAL-ID or REAL-ID compliant documentation to access Brookhaven National Laboratory
