Assistant Research Scientist (PREP0003750) Full-time NEW

Assistant Research Scientist

This position is part of the National Institute of Standards and Technology (NIST) Professional Research Experience Program (PREP). NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest, thus requires that such institutions must be the recipient of a PREP award. The PREP program requires staff from a wide range of backgrounds to work on scientific research in many areas. Employees in this position will perform technical work that underpins the scientific research of the collaboration.

Research Title: Artificial Intelligence Data Researcher

The work will entail:

• Research and document public safety AI communications solutions and the datasets that are used to train and test them
• Research, evaluate, and document available AI tools and applications that are the best fit for public safety AI communications solutions
• Document the AI dataset curation process and determine the best target public safety datasets and the dataset enhancement options
• Investigate AI standards organizations and applicability to public safety AI communications solutions and the datasets, and identify opportunities for participation
• Participate in public safety artificial intelligence working groups, standards meetings, and public safety collaborators and curate shared information from collaborators on their use/witness of AI for public safety communications use cases, challenges, and technological gaps
• Evaluate future public safety artificial intelligence use cases and what datasets could be used to train and test them, as well as identifying technology challenges and gaps to address
• Assist with designing and hosting a Public Safety AI Workshop to gather feedback on future public safety artificial intelligence use cases and what datasets could be used to train and test them
• Inform a public safety AI enhancement roadmap

Qualifications

– A Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field

– Experience with modern AI tools and applications (AWS, GCP, Azure, MLFlow, SQL, BigQuery, Snowflake)

– Knowledge of data structures, formats, and AI data curation processes

– Experience with identifying data needs for AI uses cases, and evaluating dataset quality and representativeness

– Knowledge of software engineering for AI applications

– Knowledge of mathematical probability and statistics and optimization methods

– Knowledge of machine learning including supervised and unsupervised learning, deep learning, and model evaluation

– Knowledge of dataset biases, and labeling issues

– Knowledge of AI model building

– Knowledge of translating operational needs into solvable AI problems

– US Citizens Preferred