>> A-184630-26: Assistant Research Scientist (PREP0003750)

Johns Hopkins University; Gaithersburg (MD); On-site; USD 70,000 - 90,000; Full time

Job summary

A prestigious research institution in Gaithersburg is seeking an Assistant Research Scientist to conduct research on AI communications solutions for first responders. Responsibilities include evaluating AI tools, documenting public safety AI solutions, and hosting workshops. Applicants should have a Bachelor's degree in Computer Science or related field and experience with modern AI applications, including AWS and Azure.

Qualifications

• Bachelor's degree in a relevant field.
• Experience with AI tools and applications such as AWS and Azure.
• Knowledge of software engineering principles for AI applications.

Responsibilities

• Research and document public safety AI communications solutions.
• Evaluate and document AI tools for public safety applications.
• Assist with designing and hosting a Public Safety AI Workshop.

Skills

Experience with modern AI tools and applications

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

Experience with identifying data needs for AI use cases

Knowledge of software engineering for AI applications

Knowledge of machine learning including supervised and unsupervised learning

Knowledge of dataset biases and labeling issues

Education

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

Tools

AWS

GCP

Azure

MLFlow

SQL

BigQuery

Snowflake

Job description

Assistant Research Scientist (PREP0003750)

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: 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.

Key responsibilities will include but are not limited to:

• 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 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

Equal Opportunity Employer

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.