Assistant Research Scientist (PREP0003750)

OHB System AG; Gaithersburg (MD); On-site; USD 47,000 - 67,000; Full time

Job summary

The Chronicle Of Higher Education, Inc. is hiring an Artificial Intelligence Data Researcher to work at Johns Hopkins University. This role involves researching and documenting AI solutions for public safety, evaluating tools, and assisting with a Public Safety AI Workshop. Ideal candidates will have a Bachelor’s degree in a related field and experience with AI tools like AWS and SQL. The position offers a comprehensive total rewards package and a commitment to equal opportunity.

Qualifications

• Experience with identifying data needs for AI use cases, and evaluating dataset quality and representativeness.
• Knowledge of dataset biases and labeling issues.
• Knowledge of translating operational needs into solvable AI problems.

Responsibilities

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

Skills

Experience with modern AI tools

Knowledge of data structures

Knowledge of machine learning

Knowledge of software engineering for AI applications

Knowledge of mathematical probability and statistics

Education

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

Tools

AWS

GCP

Azure

MLFlow

SQL

BigQuery

Snowflake

Job description

Salary

$47,000 - $67,000

Description

Johns Hopkins University, founded in 1876, is America's first research university and home to nine world‑class academic divisions working together as one university.

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

Key Responsibilities

• 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 or 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

• Ad 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.
• US citizens preferred.

Total Rewards

Johns Hopkins offers a total rewards package that supports employees' health, life, career and retirement.

Equal Employment Opportunity

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.

Background Checks

The successful candidate(s) for this position will be subject to a pre‑employment background check including education verification.

Vaccine Requirements

Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID‑19 vaccine. The COVID‑19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine.