Assistant Research Scientist; PREP

PREP Research Associate

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.

Artificial Intelligence Data Researcher

The applicant that is selected for this position will be part of a team of engineers and researchers conducting research and development (R&D) activities focused on accelerating the development of artificial intelligence communications solutions for first responders.

• 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

• 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, Big Query, Snowflake)
• Knowledge of data structures, formats, and AI data curation processes
• Experience with identifying data needs for AI use 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

The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.

The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.