Johns Hopkins University jobs in Frederick, MD

The Intelligent Systems Division at NIST is investigating the performance of 3D vision systems for various manufacturing and automation applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance. This will support the development of performance metrics for these systems for various industrial applications. Duties: The duties will be tailored to fit the applicant's qualifications, and the applicant will be trained on the use of certain systems needed for the following possible duties: ? Conduct experiments to realize several existing and novel test methods for 3D vision systems. ? Research the effects of various physical properties of an object and sensor settings on the test metrics. ? Program collaborative robot arms for conducting various automation tasks. ? Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ? Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ? Write reports and contribute to peer-reviewed publications. ? Work with commercial bin-picking systems. ? Assist in the development of demonstrations for trade shows and conferences. ? Writ e reports and contribute to peer-reviewed publications. ? Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week) Not all the qualifications below are required. ? Education: Engineering majors with bachelor's/master's degree, or in final or penultimate years of bachelor's/master's degree. ? Experience with CAD software such as SolidWorks ? Experience using MATLAB and Python. ? Programming experience in one or more of the following computer languages: C++, Java ? Experience using 3D printers. ? Basic understanding of robot control theory (DH parameters, kinematics, etc.) ? Basic understanding of 3D sensors such as LiDAR or RGBD cameras ? Basic understanding of the Unix/Linux operating systems ? Working knowledge of 3D point cloud data processing techniques using Point Cloud Library (PCL - ********************** ), CloudCompare, or other similar tools Salary: $50,000-$65,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

With close supervision and instruction, we are seeking an **_Ophthalmic Technician Assistant_** who will learn to assist the Ophthalmologist with patient care by performing ophthalmic testing as outlined below. The Wilmer Eye Institute of Johns Hopkins University has an exciting opportunity for exceptional candidates to train for a career as an Ophthalmic Technician, no experience required. Start your career in Ophthalmology with one of the leading organizations in delivering state-of-the art eye care, training future healthcare leaders, and conducting cutting-edge research. We have a robust training program that will provide you with a strong foundation to pursue a multitude of career paths beyond Ophthalmic Technician such as Clinic Manager, Ophthalmic Clinic Supervisor, Assistant Administrator, Orthoptist, Optometrist, Marketing, IT, and Research, to name a few. This is also an opportunity for pre-med students to gain clinical experience during their gap year or prior to applying to medical school, as well. No evening or weekend work required. Follow this link to learn more, ********************************************************************************************** **Specific Duties & Responsibilities** _Obtain and concisely record an accurate patient history._ + Chief complaint + Past ocular history + Family history + Systemic illnesses + Medications + Allergies and drug reactions + Social history _Basic skills and lensometry_ + Measure visual acuity at distance and near, utilizing a test appropriate for age and education, and + records accurately. + Perform pinhole testing when indicated. + Perform and record contrast sensitivity. + Perform Ishihara or HRR color vision testing. + Accurately measure and record current lens power with a lensometer. + Perform and record exophthalmometry. + Perform and record the Amsler grid. + Perform and record Schirmer testing. + Evaluate pupillary reactions, including afferent pupillary defect. + Estimate anterior chamber depth. + Able to properly operate common non-automated and automated ophthalmic equipment, including but not limited to: IOL Master, Orb-scan, bright field acuity testing (BAT), potential acuity meter (PAM), autorefractor, corneal pachymetry, Humphrey visual field, Goldmann visual field, OCT, HRT, and Lenstar. _Patient Services_ + Apply proper ocular dressings and shields. + Follow divisional protocols for eye drop instillation, including cycloplegics and topical anesthetics. + Properly instill eye drops + Label newly opened bottles with expiration dates. + Understand the indications/contraindications for use in dilation, + Measure interpupillary distances, evaluate spectacle fit. + Properly assist physically or visually disabled patients. + Adhere to regulations regarding drug samples and drug sample logs. _Basic Tonometry_ + Perform accurate Goldmann applanation tonometry and properly disinfect the tonometer. + Perform accurate Tono-pen tonometry and properly disinfect and store the tonometer. + Perform accurate Eye Care tonometry. + Understand the principles of scleral rigidity and the factors that alter intraocular pressure. _Instrument Maintenance_ + Perform routine instrument maintenance on all ophthalmic equipment. + Stock examination rooms in the assigned area and ensure medication expiration dates are current. + Disinfect and maintain examination rooms. _General Medical Knowledge_ + Maintain current CPR certification. + Understand basic ocular anatomy and physiology, systemic diseases, ocular diseases, and ocular + emergencies. + Understand and practice the fundamentals of microbial control. _Must complete currently required JHMI courses, such as:_ + Self learning educational packets + HIPAA regulations + Conflict of Interest + Complete Annual Review paperwork in a timely manner. + Complete training in software such as Epic, POE, TAP, Forum, Oculab, and Allscripts + Assist physician chair side as a scribe _Possible Additional Duties and Responsibilities_ + Surgical assisting with minor outpatient procedures; basic instrument care. + Perform basic slit lamp evaluation of anterior chamber depth. + Measure axial length with A-scan biometry. + Perform protocol refractometry or other testing for clinical trials. + Instruct patients in contact lens care, insertion, and removal. + Neuro-physiologic testing, including electroretinogram (ERG), Multi-focal electroretinogram + (MFERG), + visual evoked potential (VEP), Scanning Laser Ophthalmoscope (SLO) + Other duties that may be assigned. **Minimum Qualifications** + High School Diploma or graduation equivalent + Must obtain Certified Ophthalmic Assistant (COA) from Joint Commission on Allied Health Personnel in Ophthalmology (JCAHPO) within 18 months of start date. + CPR certification is also required. + Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Classified Title: Ophthalmic Technician Assistant Role/Level/Range: ACRO40/E/02/CD Starting Salary Range: **$17.20 - $30.30 HRLY ($18.41 targeted; Commensurate w/exp.)** Employee group: Full Time Schedule: Monday-Friday, 8:30 am - 5:00 pm FLSA Status: Non-Exempt Location: School of Medicine Campus Department name: Columbia Practice Oph Personnel area: School of Medicine Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

With close supervision and instruction, we are seeking an Ophthalmic Technician Assistant who will learn to assist the Ophthalmologist with patient care by performing ophthalmic testing as outlined below. The Wilmer Eye Institute of Johns Hopkins University has an exciting opportunity for exceptional candidates to train for a career as an Ophthalmic Technician, no experience required. Start your career in Ophthalmology with one of the leading organizations in delivering state-of-the art eye care, training future healthcare leaders, and conducting cutting-edge research. We have a robust training program that will provide you with a strong foundation to pursue a multitude of career paths beyond Ophthalmic Technician such as Clinic Manager, Ophthalmic Clinic Supervisor, Assistant Administrator, Orthoptist, Optometrist, Marketing, IT, and Research, to name a few. This is also an opportunity for pre-med students to gain clinical experience during their gap year or prior to applying to medical school, as well. No evening or weekend work required. Follow this link to learn more, ********************************************************************************************* Specific Duties & Responsibilities Obtain and concisely record an accurate patient history. * Chief complaint * Past ocular history * Family history * Systemic illnesses * Medications * Allergies and drug reactions * Social history Basic skills and lensometry * Measure visual acuity at distance and near, utilizing a test appropriate for age and education, and * records accurately. * Perform pinhole testing when indicated. * Perform and record contrast sensitivity. * Perform Ishihara or HRR color vision testing. * Accurately measure and record current lens power with a lensometer. * Perform and record exophthalmometry. * Perform and record the Amsler grid. * Perform and record Schirmer testing. * Evaluate pupillary reactions, including afferent pupillary defect. * Estimate anterior chamber depth. * Able to properly operate common non-automated and automated ophthalmic equipment, including but not limited to: IOL Master, Orb-scan, bright field acuity testing (BAT), potential acuity meter (PAM), autorefractor, corneal pachymetry, Humphrey visual field, Goldmann visual field, OCT, HRT, and Lenstar. Patient Services * Apply proper ocular dressings and shields. * Follow divisional protocols for eye drop instillation, including cycloplegics and topical anesthetics. * Properly instill eye drops * Label newly opened bottles with expiration dates. * Understand the indications/contraindications for use in dilation, * Measure interpupillary distances, evaluate spectacle fit. * Properly assist physically or visually disabled patients. * Adhere to regulations regarding drug samples and drug sample logs. Basic Tonometry * Perform accurate Goldmann applanation tonometry and properly disinfect the tonometer. * Perform accurate Tono-pen tonometry and properly disinfect and store the tonometer. * Perform accurate Eye Care tonometry. * Understand the principles of scleral rigidity and the factors that alter intraocular pressure. Instrument Maintenance * Perform routine instrument maintenance on all ophthalmic equipment. * Stock examination rooms in the assigned area and ensure medication expiration dates are current. * Disinfect and maintain examination rooms. General Medical Knowledge * Maintain current CPR certification. * Understand basic ocular anatomy and physiology, systemic diseases, ocular diseases, and ocular * emergencies. * Understand and practice the fundamentals of microbial control. Must complete currently required JHMI courses, such as: * Self learning educational packets * HIPAA regulations * Conflict of Interest * Complete Annual Review paperwork in a timely manner. * Complete training in software such as Epic, POE, TAP, Forum, Oculab, and Allscripts * Assist physician chair side as a scribe Possible Additional Duties and Responsibilities * Surgical assisting with minor outpatient procedures; basic instrument care. * Perform basic slit lamp evaluation of anterior chamber depth. * Measure axial length with A-scan biometry. * Perform protocol refractometry or other testing for clinical trials. * Instruct patients in contact lens care, insertion, and removal. * Neuro-physiologic testing, including electroretinogram (ERG), Multi-focal electroretinogram * (MFERG), * visual evoked potential (VEP), Scanning Laser Ophthalmoscope (SLO) * Other duties that may be assigned. Minimum Qualifications * High School Diploma or graduation equivalent * Must obtain Certified Ophthalmic Assistant (COA) from Joint Commission on Allied Health Personnel in Ophthalmology (JCAHPO) within 18 months of start date. * CPR certification is also required. * Additional education may substitute for required experience, and additional related experience may substitute for required education beyond a high school diploma/graduation equivalent, to the extent permitted by the JHU equivalency formula. Classified Title: Ophthalmic Technician Assistant Role/Level/Range: ACRO40/E/02/CD Starting Salary Range: $17.20 - $30.30 HRLY ($18.41 targeted; Commensurate w/exp.) Employee group: Full Time Schedule: Monday-Friday, 8:30 am - 5:00 pm FLSA Status: Non-Exempt Location: School of Medicine Campus Department name: Columbia Practice Oph Personnel area: School of Medicine

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Community Resilience Systems Modeling The work will entail: The PREP Research Associate will conduct collaborative research with researchers in the Community Resilience Group in the Engineering Laboratory at the National Institute of Standards and Technology (NIST). Under the Community Resilience Program, it is proposed that the PREP participant conduct research on the project entitled Development of a First-Generation Community-Resilience Systems Model. Under this project, the PREP participant will contribute to the (NIST) Alternatives for Resilient Communities (NIST ARC) model that is in ongoing development. NIST ARC facilitates exploration of alternative solutions for increasing a community's resilience to natural hazards such as floods, tornados, and earthquakes. Within NIST ARC, optimization-based models provide the ability to efficiently search for alternatives that can meet community-specified objectives and constraints to support the decision-making process. Identifying alternatives that meet a community's objectives and constraints is challenging given the large scale of the relevant physical, social and economic systems (including, for example, buildings, critical infrastructure, businesses, schools, and hospitals), the interdependencies between these systems, stochastic aspects (e.g., related to hazard events, component failure), interactions of the mitigation/preparedness decisions and event-related decisions, and the large set of decision-makers and stakeholders in the decision-making process. The associate will apply the optimization modeling framework to new systems or hazards, including coastal hazards, not currently incorporated into NIST ARC, and add to the functionality of the tool. The associate will develop case studies, which will involve developing new data, identifying and applying suitable methods. The new work will be integrated into the model through collaboration with the other developers. In addition, the associate will have the opportunity to collaborate with a community subject to coastal hazards to improve resilience in practice. Further, the PREP participant will disseminate their research through conferences and submission of peer-reviewed journal articles. Key responsibilities will include but are not limited to: Developing optimization models to solve problems of relevance to community resilience § Presenting results at internal meetings, at conferences, and occasional meetings with external stakeholders. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § Publishing peer-reviewed journal articles on the collaborative research § A Bachelor's degree in Computer Science, Engineering, or a related field. § Coursework in civil engineering systems analysis/optimization, or computational algorithms § Familiarity with multiple computer languages, including Python. § Ability to develop prototypes of tools needed to analyze data. § Strong oral and written communication skills.

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Human-Centered Cybersecurity Research and Community Standards Development The work will entail: In direct support of NIST's mission to advance measurement science and standards, the PREP student will work on Human-Centered Cybersecurity (HCC) projects. Human-centered cybersecurity is an approach that puts people at the forefront when designing and implementing cybersecurity systems, products, and processes by considering human needs, motivations, behaviors, and abilities. Under the guidance of a NIST sponsor, the student will contribute to a project to develop a standard description of human-centered-cybersecurity. In addition, the student will help develop guidance, mapped to the NIST Cybersecurity Framework 2.0, on how to apply HCC concepts within organizations. The work will include data collection and analysis for a research study aimed at understanding current perceptions of human-centered cybersecurity among various groups of cybersecurity stakeholders. The student will also assist NIST staff with mapping HCC concepts to the NIST Cybersecurity Framework by searching for and summarizing applicable human factors frameworks, organizing and synthesizing public comments, and writing guidance. This is an excellent opportunity to contribute to community standards for human-centered cybersecurity that may be used around the world. Key responsibilities will include but are not limited to: · Conducting qualitative and quantitative survey or interview data collection and analysis · Performing searches and syntheses of research literature and industry reports related to the human element of cybersecurity · Assisting in the organization and agenda development of public workshops · Organizing, synthesizing, and helping to adjudicate public comments/feedback · Writing/preparing reports, research papers, and presentations · Presenting results at internal and external meetings § In-progress graduate degree (Master's or PhD) in social science, human-computer interaction, human factors, computer science, cybersecurity or other field related to human-centered cybersecurity § Competency in quantitative or qualitative research methods and data analysis § Experience with and working knowledge of cybersecurity is desirable but not required § Ability to work both in teams and independently § Strong organizational skills § Strong oral and written communication skills

The Intelligent Systems Division at NIST is investigating the performance of 3D vision systems for various manufacturing and automation applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance. This will support the development of performance metrics for these systems for various industrial applications. Duties: The duties will be tailored to fit the applicant's qualifications, and the applicant will be trained on the use of certain systems needed for the following possible duties: ? Conduct experiments to realize several existing and novel test methods for 3D vision systems. ? Research the effects of various physical properties of an object and sensor settings on the test metrics. ? Program collaborative robot arms for conducting various automation tasks. ? Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ? Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ? Write reports and contribute to peer-reviewed publications. ? Work with commercial bin-picking systems. ? Assist in the development of demonstrations for trade shows and conferences. ? Writ e reports and contribute to peer-reviewed publications. ? Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week) Not all the qualifications below are required. ? Education: Engineering majors with bachelor's/master's degree, or in final or penultimate years of bachelor's/master's degree. ? Experience with CAD software such as SolidWorks ? Experience using MATLAB and Python. ? Programming experience in one or more of the following computer languages: C++, Java ? Experience using 3D printers. ? Basic understanding of robot control theory (DH parameters, kinematics, etc.) ? Basic understanding of 3D sensors such as LiDAR or RGBD cameras ? Basic understanding of the Unix/Linux operating systems ? Working knowledge of 3D point cloud data processing techniques using Point Cloud Library (PCL - ********************** ), CloudCompare, or other similar tools What is PREP? This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients 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. A candidate hired for this position will be through the university that is associated with the NIST PREP program and will be an employee of that University. Salary: $60,000-$70,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PDR-data visualization - PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Dynamic data visualization for tabular data The work will entail: The researcher is responsible in developing a tool to visualize tabular data for datasets published in the NIST public data repository (PDR). Researcher will explore frictionless data standard. Implement this standard for tabular data in PDR. Enhance current metadata standard (NERDm) to support the tabular data as needed. This can be applied to new datasets getting generated and published under specific Critical Emerging Technologies (CETs) program. This dynamic visualization of data will help researcher explore NIST data products in real time, which will enhance user experience of current PDR. Key responsibilities will include but are not limited to: Learn and understand PDR system Understand domain specific data and metadata standards Use and explore AI techniques to support data visualization § Enhance the existing PDR system with these additions § Regular code updates, deliver code repo along with documentation § Attend regular meetings with NIST § A Bachelor's degree in Computer Science, Engineering, Manufacturing, or a related field. § 2-3 years of relevant experience. § Familiarity with DevOps and CICD pipelines. § Familiarity with multiple programming and scripting languages. § Ability to develop prototypes of tools. § Strong oral and written communication skills.

The Intelligent Systems Division at NIST is investigating the performance of 3D vision systems for various manufacturing and automation applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance. This will support the development of performance metrics for these systems for various industrial applications. Duties: The duties will be tailored to fit the applicant's qualifications, and the applicant will be trained on the use of certain systems needed for the following possible duties: ● Conduct experiments to realize several existing and novel test methods for 3D vision systems. ● Research the effects of various physical properties of an object and sensor settings on the test metrics. ● Program collaborative robot arms for conducting various automation tasks. ● Use metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ● Use analysis software (e.g., Python, MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ● Write reports and contribute to peer-reviewed publications. ● Work with commercial bin-picking systems. ● Assist in the development of demonstrations for trade shows and conferences. ● Write reports and contribute to peer-reviewed publications. ● Work schedule: On-campus (Gaithersburg, MD), Full-time (40hrs/week) Not all the qualifications below are required. ● Education: Engineering majors with bachelor's/master's degree, or in final or penultimate years of bachelor's/master's degree. ● Experience with CAD software such as SolidWorks ● Experience using MATLAB and Python. ● Programming experience in one or more of the following computer languages: C++, Java ● Experience using 3D printers. ● Basic understanding of robot control theory (DH parameters, kinematics, etc.) ● Basic understanding of 3D sensors such as LiDAR or RGBD cameras ● Basic understanding of the Unix/Linux operating systems ● Working knowledge of 3D point cloud data processing techniques using Point Cloud Library (PCL - ************************ CloudCompare, or other similar tools What is PREP? This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients 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. A candidate hired for this position will be through the university that is associated with the NIST PREP program and will be an employee of that University.

Perception Performance of Robotic Systems This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. NIST recognizes that its research staff may wish to collaborate with researchers at academic institutions on specific projects of mutual interest and thus requires that such institutions be the recipients 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. Position Description The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on conducting experiments and analyzing data to understand these systems' performance and support the development of standards for measuring their depth error and depth resolution, as well as for measuring the performance of robotic systems used for bin-picking applications. Duties: The duties will be tailored to fit the applicant's qualifications and the applicant will be trained on the use of certain systems needed for the following possible duties: ● Programming and maintaining robots (arms, mobile robots, exoskeletons, etc.). ● Operating and maintaining measurement equipment (e.g., laser trackers, laser scanners, oscilloscopes, etc.). ● Preparing and maintaining laboratories to support experiments. ● Conducting experiments in support of the development of standards. ● Assisting in recording and analyzing test data and preparing test reports. ● Performing simple preventative maintenance, troubleshooting, adjustment, and repairs of laboratory equipment. ● Keeping laboratories clean and organized. ● Assisting in performing market research for purchases required for the laboratories. ● Using CAD software to design parts, end-of-arm tooling, and fixtures. ● Working with NIST and/or external resources to have parts fabricated. ● Recording knowledge and best practices to help improve efficiency and productivity. ● Conducting tests in the laboratory as well as in the field. Not all the qualifications below are required. ● Associate or bachelor's degree in physical sciences, engineering or related field (or a training certificate in robotics, engineering, or automation). ● Experience using gauge blocks and/or micrometers. ● A basic understanding of geometric dimensioning and tolerancing (GD&T). ● Experience in using digital oscilloscopes, multimeters, and environmental monitoring instruments (thermometers, hygrometers, etc.). ● Experience with CAD software such as Solidworks. ● Experience in programming robots (using a teach pendant, hand guidance, and a command line interface). ● Experience using basic hand and power tools. ● Experience using fused deposition modeling (FDM) 3D printers. ● Experience in operating in laboratory environments in a safe manner. ● Be able to work without close supervision in a team environment. ● Experience in using software tools such as Matlab, Python, Excel (or other) to analyze data. Desired Qualifications: ● Experience in using dimensional measurement instruments (such as laser trackers, laser scanners, coordinate measurement machines, etc.). ● Experience in using Python, C++, C#, JAVA, etc. for programming/controlling robots. ● Experience in using the robot operating system (ROS) to program robots. ● Experience in using simulation software (e.g., MoveIT, RoboDK, etc.) to program robots. ● Experience with basic machine tools (e.g., drill press, band saw, lathe, etc.). ● Experience with programming and using CNC milling machines.

GIS PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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. Goals and Approach: Postdoctoral Research Economist or Social Scientist: The Community Resilience Program (CRP) of the National Institute of Standards of Technology (NIST) anticipates the need for a GIS Specialist to work on community resilience and sustainability. The position would be supported through the NIST Professional Research Experience Program (***************************************************************************************************** This is an exciting opportunity to work alongside NIST researchers while being associated with a NIST PREP participating academic institution. This role requires a researcher who: Leads complex geospatial research for Community Resilience Planning and Disaster and Failure Studies, focusing on community resilience to natural, human-caused, and technological hazards, as well as socio-economic and physical community systems. Directs the development of geospatial metrology, models, tools, guidance, and standards for community resilience and associated decision-making. Engages with internal and external partners to establish best practices for data collection in multi-disciplinary post-disaster field studies, utilizing current technologies and tools to advance disaster research metrology. Provides subject matter expertise and strategic direction on resilience-related socio-economic and physical systems science, employing advanced Geographic Information System analysis, diverse quantitative and qualitative methods, data collection instruments, and interdisciplinary methodologies for community resilience measurement and modeling. Offers geospatial expertise and guidance, and actively participates in disaster field studies, technical investigations, and disaster reconnaissance. Responsibilities may include, but are not limited to: Research Publishing within refereed journals and technical research series Developing draft standards Crafting decision-support software Communicating research at professional conferences Additional responsibilities may cover: Analysis of survey data Complex event analysis using spatial data Evaluating community level planning for climate and resilience Incorporating risk and uncertainty into community resilience planning assessments Survey design and approval processes The PREP researcher will use of a broad set of skills, including, but not limited to: survey tool development, sample frame development, statistical inference, systems analysis/ modeling, collaborative/participatory modeling, qualitative interview analysis, quantitative structural equation modeling and regression analysis, as well as agent-based modeling. Key outcomes will be analyses, reports, and best practice guidance to businesses, industry, standard making bodies, and government. It is expected that the PREP Researcher will engage in all steps of the research process, including but not limited to: survey (re)design and dissemination, data analysis, preparation of reports and archival journal articles, as well as reporting and communication with stakeholders. The work will entail: Key responsibilities will include but are not limited to: Collaborate on data and methods to improve the methodology for measuring economic impact of community resilience planning, which is organized around the performance metric of ‘cost plus loss' minimization - i.e., the economically optimal level of investment in prevention and mitigation activities to reduce future disturbance and disaster-related losses, as well as related expenditures that minimize the combined investment cost plus the value of expected losses. Development of decision frameworks for community level choices Design and execution of data collection instruments Statistical analysis of collected survey data Assessment of research and data gaps Developing decision-support tools for home residents, homeowners, communities, business operators, industry, and/or government agencies to make more efficient, sustainable, resilient, and/or circular choices. § An advanced degree in GIS Research Sociology, Computer Science, Engineering, Economics, Social Science, Planning, Behavioral Social Sciences, or a related field. § Familiarity with multiple scripting languages. § Strong oral and written communication skills. § (1) Advanced knowledge of policies, theories, principles, practices, and methods of a technical professional field of research (in science, engineering, information technology, or mathematics) and the ability, as a significant contributor to the specialty, to conduct and direct an advanced research program, exercise professional leadership, and provide consultation in the specialty. Skill in applying highly valued expertise in a recognized leading-edge research field. Ability to justify, defend, negotiate, or settle matters involving significant or controversial issues and/or programs. OR (2) Ability to perform the full range of supervisory functions, including planning, assigning, and reviewing work, and evaluating performance. Advanced knowledge of the programs directed and the ability to influence, motivate, or persuade persons or groups or take actions related to advancing the program/organization fundamental goals and objectives, including program planning, managing resources, assigning and reviewing work, and evaluating performance. Candidates can reach out to Dr. Jennifer Helgeson at ************************** if interested. Please provide an up-to-date CV or resume. NIST is an EEO/Affirmative Action Employer.

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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. Interactive 3D Visualization to enable Visual Analytics for Measurement Science There are variety of tools and frameworks available for visual analytics, but very few are capable of providing interactive 3D visualization. Trame does this by leveraging VTK and/or ParaView (as well as integrating other tools such as Vega). Trame is the culmination of decades of work: VTK/ParaView, ParaViewWeb, and vtk.js are just some of the components that trame builds upon, but does so in such a way as to hide the complexity of these underlying systems. Trame is a Python integration framework to easily build web applications with minimal knowledge of web development or technology. In this project, we will explore measurement science data using information visualization and scientific visualization techniques in an immersive environment. Data correlation between 2D and 3D data in an immersive environment will also be explored using Trame and ParaView. The resulting immersive visualization platform can be used to reconstitute the measurement science data (generated and/or collected) to produce a digital twin of the real world and provide the means to interact with the digital twin, mirroring real world interactions. Various data format support and data analysis techniques will also be added to enable real-time data exploration and analysis of the data in an immersive environment. Users of the digital twin will manipulate their data on the laptop version of the platform to setup an immersive scientific visualization session for either the CAVETM or Head Mounted Display system. The work will entail: Key responsibilities will include but are not limited to: § Ability to explore measurement science data using information visualization and scientific visualization techniques in an immersive environment. § Utilizing visual and data analytics tools and techniques. § Analyzing and manipulating data on the laptop version of a platform to setup an immersive scientific visualization session for either the CAVETM or Head Mounted Display system. § Experience with software engineering and data science. § Experience with Python 3, and Machine Learning. § Experience with 3D Immersive Technology as well as VR application development. § Must be able to work independently and with other researchers while under the guidance of a mentor. § Experience with ParaView and Trame is a plus but not required.

GIS PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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. Goals and Approach: Postdoctoral Research Economist or Social Scientist: The Community Resilience Program (CRP) of the National Institute of Standards of Technology (NIST) anticipates the need for a GIS Specialist to work on community resilience and sustainability. The position would be supported through the NIST Professional Research Experience Program (***************************************************************************************************** This is an exciting opportunity to work alongside NIST researchers while being associated with a NIST PREP participating academic institution. This role requires a researcher who: Leads complex geospatial research for Community Resilience Planning and Disaster and Failure Studies, focusing on community resilience to natural, human-caused, and technological hazards, as well as socio-economic and physical community systems. Directs the development of geospatial metrology, models, tools, guidance, and standards for community resilience and associated decision-making. Engages with internal and external partners to establish best practices for data collection in multi-disciplinary post-disaster field studies, utilizing current technologies and tools to advance disaster research metrology. Provides subject matter expertise and strategic direction on resilience-related socio-economic and physical systems science, employing advanced Geographic Information System analysis, diverse quantitative and qualitative methods, data collection instruments, and interdisciplinary methodologies for community resilience measurement and modeling. Offers geospatial expertise and guidance, and actively participates in disaster field studies, technical investigations, and disaster reconnaissance. Responsibilities may include, but are not limited to: + Research + Publishing within refereed journals and technical research series + Developing draft standards + Crafting decision-support software + Communicating research at professional conferences Additional responsibilities may cover: + Analysis of survey data + Complex event analysis using spatial data + Evaluating community level planning for climate and resilience + Incorporating risk and uncertainty into community resilience planning assessments + Survey design and approval processes The PREP researcher will use of a broad set of skills, including, but not limited to: survey tool development, sample frame development, statistical inference, systems analysis/ modeling, collaborative/participatory modeling, qualitative interview analysis, quantitative structural equation modeling and regression analysis, as well as agent-based modeling. Key outcomes will be analyses, reports, and best practice guidance to businesses, industry, standard making bodies, and government. It is expected that the PREP Researcher will engage in all steps of the research process, including but not limited to: survey (re)design and dissemination, data analysis, preparation of reports and archival journal articles, as well as reporting and communication with stakeholders. The work will entail: Key responsibilities will include but are not limited to: + Collaborate on data and methods to improve the methodology for measuring economic impact of community resilience planning, which is organized around the performance metric of 'cost plus loss' minimization - i.e., the economically optimal level of investment in prevention and mitigation activities to reduce future disturbance and disaster-related losses, as well as related expenditures that minimize the combined investment cost plus the value of expected losses. + Development of decision frameworks for community level choices + Design and execution of data collection instruments + Statistical analysis of collected survey data + Assessment of research and data gaps + Developing decision-support tools for home residents, homeowners, communities, business operators, industry, and/or government agencies to make more efficient, sustainable, resilient, and/or circular choices. § An advanced degree in GIS Research Sociology, Computer Science, Engineering, Economics, Social Science, Planning, Behavioral Social Sciences, or a related field. § Familiarity with multiple scripting languages. § Strong oral and written communication skills. § (1) Advanced knowledge of policies, theories, principles, practices, and methods of a technical professional field of research (in science, engineering, information technology, or mathematics) and the ability, as a significant contributor to the specialty, to conduct and direct an advanced research program, exercise professional leadership, and provide consultation in the specialty. Skill in applying highly valued expertise in a recognized leading-edge research field. Ability to justify, defend, negotiate, or settle matters involving significant or controversial issues and/or programs. OR (2) Ability to perform the full range of supervisory functions, including planning, assigning, and reviewing work, and evaluating performance. Advanced knowledge of the programs directed and the ability to influence, motivate, or persuade persons or groups or take actions related to advancing the program/organization fundamental goals and objectives, including program planning, managing resources, assigning and reviewing work, and evaluating performance. Candidates can reach out to Dr. Jennifer Helgeson at ************************** if interested. Please provide an up-to-date CV or resume. NIST is an EEO/Affirmative Action Employer. Salary: $105,000-$120,000 Please upload the following with your application: - CV/Resume - 2 professional references *Please limit C.V to 3 pages only Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate Project Description This project contributes to the development of the Metrics Hub within the NIST's Trustworthy and Responsible Artificial Intelligence Resource Center (AIRC). The student will assist in collecting and packaging relevant metrics for AI testing, identifying key metadata that support the creation of accessible resources for the AIRC website, benefiting the broader AI community and the public. This project will support the operationalization of the NIST AI Risk Management Framework (AI RMF 1.0) by providing essential metrics for testing, evaluation, verification, and validation (TEVV) of AI systems. Research Title AIRC Metric Hub Development Key Responsibilities Identify and collect relevant metrics for AI TEVV, aligning with the AI RMF 1.0. Curate the collected metrics, ensuring they are packaged, accessible and usable for the users of the AIRC website Help design relevant use cases that contextualize metrics for the border AI community Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables A set of AI metrics are identified, packaged, and made available through the AIRC Metrics Hub. Estimating 2-5 metrics per month. Draft document outlining at least one use case per metric that illustrates the practical application in AI testing.of Familiarity with concepts related to testing, evaluation, verification, and validation (TEVV) of AI systems Background in Computer Science, Statistics, HCI, or related field Education level: graduate student Strong interest in metrics for AI systems Familiarity with scientific reading and technical writing.

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Cost Estimation for Enhanced Building Performance The work will entail: The researcher will play a critical role in advancing the NIST mission to improve the quality of life through measurement science for enhanced resilience to natural disasters. The scope of work includes (1) advancing the implementation of the NIST framework for economic evaluation of recovery-based seismic design (NIST SP 1277 (************************************* ) for existing buildings; (2) developing order-of-magnitude estimates to support implementation of the NIST Hazard Mitigation Technology (HMM (*********************************************************************************************************************** ) for reducing building vulnerability to damage from Wildland-Urban Interface (WUI) fires; and (3) developing repair cost estimation models the to improve building component damage consequences within NIST's Nonstructural Element Database (NED). Key responsibilities will include but are not limited to: § Extend benefit-cost analysis of recovery-based design for new buildings to existing buildings through the development of case studies for retrofitting existing buildings for functional recovery § Develop cost estimates for the replacement or retrofit of building components to improve residential building performance from WUI fires § Develop repair cost estimate models and/or workflows that facilitate the quantification of repair costs for various non-structural building components. § Support NIST-led economic evaluation of benefits and costs of design archetypes or case studies § Writing and presenting results for academic, government, industry, and general audiences § Industry experience in construction cost estimation is required. § Proficiency in technical writing and presentations to research and practitioner audiences. § Experience or interest in working in a collaborative and interdisciplinary team. Salary: $160 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Please DO NOT include telephone numbers, home address or photos on your resume. Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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. The work will entail: Identifying and developing metrics for NIST's Artificial Intelligence (AI) efforts to assess industrial uptake and impact. Key responsibilities will include but are not limited to: § Become familiar with NIST's AI outputs and stakeholders § Perform a literature review and analysis on various approaches and metrics to measure uptake and impact § Perform a detailed analysis using relevant statistical tools of the status and uptake of NIST AI outputs and provide metrics on impacts and trends § Through this analysis, provide recommendations on opportunity areas where NIST should dedicate resources to realize greater impact of our AI outputs. § A Bachelor's degree (or higher) in Business/Economics, Social Sciences, Engineering, Mathematics or a related field. § Familiarity with artificial intelligence, statistical analysis, and data collection. § Understanding of American government and politics § Strong oral and written communication skills.

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Regional Economic Impact Evaluation for Post-Earthquake Functional Recovery The work will entail: The researcher will play a critical role in advancing the NIST framework for economic evaluation of recovery-based design (NIST SP 1277 (************************************* ). Functional recovery represents a paradigm shift in building design aligned with NIST's commitment to national reduction of natural hazard risk through the enhanced performance of the built environment (NIST-FEMA SP-1254 (*********************************************************************** ). To date, NIST has focused efforts on integrating engineering design and economic evaluation to enhance post-earthquake reoccupancy and functional recovery times for new buildings (recovery-based design). The researcher will help NIST to extend current efforts to evaluate the regional economic impact of designing new buildings and retrofitting existing buildings to achieve enhanced post-earthquake functionality. This is expected contribute to the advancement of guidelines, codes, and standards for designing buildings to achieve recovery-based performance objectives. Key responsibilities will include but are not limited to: § Support NIST development, implementation, and validation of a Computable General Equilibrium (CGE) model for regional economic impact analysis of implementing recovery-based design for new buildings and existing buildings, integrated and in collaboration with engineering models of infrastructure damage § Writing and presenting results for academic, government, industry, and general audiences § Ph.D. degree in Economics, or a related discipline. § Experience implementing CGE models and integrating engineering models § Proficiency in technical writing and presentations to research and practitioner audiences. § Experience or interest in working in a collaborative and interdisciplinary team. Salary: $120 per hour Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Part Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate Project Description This project focuses on using Large Language Models (LLMs) to provide annotations of evaluation data (a.k.a., LLM as judge), and the design of an Inter-Annotator Agreement study to assess the reliability of both human and LLM annotations. The candidate will explore assessing the indicators of a given AI-related risk, determining how to identify them, and providing annotators with examples to annotate the presence of various risks. The project aims to develop an annotation framework for AI risk assessment and establish metrics for data quality in AI risk research, supporting broader work at NIST in assessing and measuring the validity and reliability of AI-related risks in data annotation. Research Title Reliability of Human and LLM Annotations for AI Risk Assessment Key Responsibilities · Gain familiarity with existing literature on data annotation and LLM as judge · Understand NIST's role and ongoing efforts in assessing and measuring the validity and reliability of AI-related risks in data annotation · Contribute to developing an annotation framework for AI risk assessment · Collaborate effectively with cross-functional and interdisciplinary stakeholders to ensure successful project outcomes Deliverables Contributions to a NIST report that supports ongoing NIST AI evaluation efforts focused on the design of an Inter-Annotator Agreement to assess the reliability of both human and LLM annotations. Background in Computer Science, Data Science, or related field. Education level : undergraduate or graduate student Strong interest in data annotation and AI risks Familiarity with scientific reading and technical writing Number of Positions: 1 The details of the work arrangement can be discussed and agreed upon, but the position is expected to be primarily telework-based, with some in-person meetings at NIST's Gaithersburg campus as needed. Average Hours Per Week: 20

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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. The position is for a graduate student level researcher or recent PhD graduate experienced in and interested in applied data science to work jointly with mathematicians and experimentalists at NIST to study forensic chemometrics and uncertainty quantification in identification and classification in mass spectrometry. A goal of this work is to develop improved classification and identification algorithms in analytical chemistry and incorporate uncertainty quantification into models to provide useful information. The position will be highly interdisciplinary requiring regular communication between mathematicians working on modelling these devices and with experimentalists taking measurements and producing data. The work will entail: Key responsibilities will include but are not limited to: - Implementing optimized calculations to study AI classification algorithms. - Assessing uncertainty in classification of experimental data. - Computationally testing mathematical models relating uncertainty quantification. - Significant software development (most likely python) - Disseminating results through posters/seminars at meetings and seminars - Ensuring that all results, findings, data, software...etc. have been correctly archived and transmitted through appropriate channels - Either completed master's degree or PhD in data science or related field. - Minimum of 1 year of experience conducting data science research - Significant course work in mathematics, statistics and/or computer science - Knowledge of or interest in acquiring knowledge of chemistry and chemometrics methods - Familiarity with larger computational and AI/ML software packages - Ability to program in a modern computational language (e.g. python) Salary: $40,000-$50,000 a year Please upload the following with your application: - CV/Resume *Please limit C.V to 3 pages only and ONLY include a valid email address for your contact info. Your resume will not be considered if the following information is included on your CV/resume. - Self portraits - Phone number - Home address/Country - Citizenship status - Languages spoken - Sex/Gender Privacy Act Statement Authority: 15 U.S.C. § 278g-1(e)(1) and (e)(3) and 15 U.S.C. § 272(b) and (c) Purpose: The National Institute for Standards and Technology (NIST) hosts the Professional Research Experience Program (PREP) (***************************************************************************************************** which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use of the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: ************************************** Equal Opportunity Employer All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran. EEO is the Law ********************************************************************************************

PREP Research Associate This position is part of the National Institute of Standards (NIST) Professional Research Experience (PREP) program. 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: Developing Interactive Visualization Tools for AI Evaluation Data The work will entail: Key Responsibilities ● Familiarize with NIST's work on AI risk and impact assessment and measuring contextual robustness, including needs for interactive data visualization in this context ● Create mockups of interactive data visualization tool(s) ● Research different toolkits available for interactive data visualization ● Propose system architecture(s) for the tool(s) ● Develop, test, and document interactive data visualization tool(s) Deliverables ● Visual mockups of the tool(s) ● Documentation of the proposed system architecture(s) ● Code implementing the tool(s) ● Thorough test suite(s) for the code ● Comprehensive documentation ● Background in Computer Science, Software Engineering, Data Science, or related field. ● Education level: undergraduate or graduate student. ● Strong interest in data visualization, software development, AI measurement ● Experience with software development in Python, version control systems, databases, and the shell ● Experience with building interactive data visualization tools and AI evaluation preferred.