Assistant Research Scientist (PREP0004343)
The American Ceramic Society, Gaithersburg, MD, United States
General Description
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 want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration’s scientific research.
Research Title
Computer Scientist ZP-II/NIST GenAI program
The work will entail
This position involves providing development support for various activities in the Information Access Division at the National Institute of Standards and Technology (NIST). Specifically, the work will support NIST GenAI evaluation series (https://ai-challenges.nist.gov/genai). The candidate will contribute to the development of AI evaluations that support various evaluation series in various modalities (such as text, voice, image, video, and code) under the NIST GenAI program. This role involves implementing an evaluation infrastructure, designing a database schema, and performing related tasks. The candidate will also provide technical expertise in activities related to deepfakes (image, audio, and video), which include creating a project plan, developing and distributing specialized tools, generating evaluation data, and conducting evaluation series. Additionally, they will contribute to reports that align with the program’s objectives. The candidate will actively participate in NIST measurement science and engage in cutting‑edge research and evaluation in the field of Generative AI technologies.
U.S. Citizen Preferred
Preferred.
Key responsibilities will include but are not limited to
Developing and deploying a framework for installing and executing AI systems with a large dataset on a GPU‑accelerated cluster
Conducting image/audio/video evaluation series in advancing generative AI technologies
Conducting experimental design and dataset curation
Developing baseline algorithms in generative AI
Upgrading, maintaining, and continuously developing existing NIST GenAI software
Managing data, such as querying and translating data formats/specifications
Building cutting‑edge evaluation infrastructure
Executing and completing a frontend/backend system
Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
Proficiency in a programming language such as Python, Java, Java Script, R, C and C++
Proficiency in shell scripts (Bash, etc.)
Real‑time code development using a distributed computing environment
Computer Vision and Array Signal Processing
Advanced Scientific Data Visualization (e.g., OpenGL / C++, 64 channel audio streams, HD video streams, CV, Audio and ML analytics data)
Mastery of the principles, practices, methods in a specialty of a technical professional field (in science, computer science, software engineering, information technology, or mathematics, or related field)
Salary Range
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.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ .
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.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr
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 want to collaborate with researchers at academic institutions on specific projects of mutual interest and, therefore, requires those institutions to be recipients of a PREP award. The PREP program involves staff from a wide range of backgrounds conducting scientific research across various fields. Individuals in this position will perform technical work supporting the collaboration’s scientific research.
Research Title
Computer Scientist ZP-II/NIST GenAI program
The work will entail
This position involves providing development support for various activities in the Information Access Division at the National Institute of Standards and Technology (NIST). Specifically, the work will support NIST GenAI evaluation series (https://ai-challenges.nist.gov/genai). The candidate will contribute to the development of AI evaluations that support various evaluation series in various modalities (such as text, voice, image, video, and code) under the NIST GenAI program. This role involves implementing an evaluation infrastructure, designing a database schema, and performing related tasks. The candidate will also provide technical expertise in activities related to deepfakes (image, audio, and video), which include creating a project plan, developing and distributing specialized tools, generating evaluation data, and conducting evaluation series. Additionally, they will contribute to reports that align with the program’s objectives. The candidate will actively participate in NIST measurement science and engage in cutting‑edge research and evaluation in the field of Generative AI technologies.
U.S. Citizen Preferred
Preferred.
Key responsibilities will include but are not limited to
Developing and deploying a framework for installing and executing AI systems with a large dataset on a GPU‑accelerated cluster
Conducting image/audio/video evaluation series in advancing generative AI technologies
Conducting experimental design and dataset curation
Developing baseline algorithms in generative AI
Upgrading, maintaining, and continuously developing existing NIST GenAI software
Managing data, such as querying and translating data formats/specifications
Building cutting‑edge evaluation infrastructure
Executing and completing a frontend/backend system
Qualifications
This individual must have the following minimum knowledge, skills, and abilities:
Proficiency in a programming language such as Python, Java, Java Script, R, C and C++
Proficiency in shell scripts (Bash, etc.)
Real‑time code development using a distributed computing environment
Computer Vision and Array Signal Processing
Advanced Scientific Data Visualization (e.g., OpenGL / C++, 64 channel audio streams, HD video streams, CV, Audio and ML analytics data)
Mastery of the principles, practices, methods in a specialty of a technical professional field (in science, computer science, software engineering, information technology, or mathematics, or related field)
Salary Range
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.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ .
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.
EEO is the Law
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf
#J-18808-Ljbffr