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David Broniatowski

8 months ago

Artificial Intelligence Data Researcher in Public Safety AI (Bachelor's Level) at George Washington University George Washington University in United States

Degree Level

not provided

Field of study

Computer Science

Funding

No explicit funding or stipend information is provided. The position is a paid research role through the NIST Professional Research Experience Program (PREP), but specific financial details are not mentioned.

Deadline

Expired

Country flag

Country

United States

University

George Washington University

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Keywords

Computer Science
Data Science
Machine Learning
Information Technology
Artificial Intelligence
Cloud Computing
Public Safety

About this position

The George Washington University, in collaboration with the NIST Professional Research Experience Program (PREP), is seeking an Artificial Intelligence Data Researcher to join the Public Safety Communications Research team at the NIST campus in Gaithersburg, MD. This unique opportunity is designed for Bachelor's-level researchers who are passionate about leveraging data science and AI for public safety applications.

As a Data Researcher, you will be responsible for building the data foundation that powers public safety AI. Your work will involve researching, evaluating, and documenting datasets and AI tools essential for developing reliable communications solutions for first responders. Key responsibilities include documenting AI dataset curation processes, identifying enhancement options for public safety, researching modern AI tools (such as AWS, GCP, BigQuery, and Snowflake), investigating AI standards, and participating in national working groups. You will also assist in hosting a Public Safety AI Workshop and help develop a roadmap for AI enhancement in public safety.

Applicants should have a Bachelor's degree in Computer Science, AI, Data Science, or a related field. Essential skills include expertise in data structures, formats, and curation processes; familiarity with supervised and unsupervised learning, deep learning, and model evaluation; understanding of dataset biases and labeling issues; and experience with SQL, MLFlow, and cloud platforms (Azure, GCP, AWS). Candidates must be eligible for a Department of Commerce background check.

This position offers the chance to participate in national standards meetings and contribute to shaping the future of public safety AI. While the role is paid through the NIST PREP program, specific funding details are not provided. The position is based in Gaithersburg, MD, and is ideal for those interested in AI ethics, data curation, and the intersection of technology and public safety.

To apply, visit the provided application link and ensure you meet all eligibility requirements. Prepare your application materials and follow the instructions on the official application page. For more information, refer to the supervisor's LinkedIn profile or the official announcement.

Funding details

No explicit funding or stipend information is provided. The position is a paid research role through the NIST Professional Research Experience Program (PREP), but specific financial details are not mentioned.

What's required

Applicants must have a Bachelor's degree in Computer Science, AI, Data Science, or a related field. Required skills include knowledge of data structures, formats, and curation processes; familiarity with supervised and unsupervised learning, deep learning, and model evaluation; understanding of dataset biases and labeling issues; and experience with SQL, MLFlow, and cloud platforms such as Azure, GCP, or AWS. Candidates must be eligible for a Department of Commerce background check.

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Professors

Professor of Engineering Management and Systems Engineering

University Name
Country flag

United States

Research Interests

Artificial Intelligence

Statistics

Physics

Materials Science

Computer Science