Johns Hopkins University jobs in Frederick, MD - 92 jobs

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

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: Indoor Localization, Tracking, and Navigation The work will entail: ? Basic research leading to the development of novel indoor localization and tracking methods, algorithms, and systems ? Evaluating the performance of such methods, algorithms, and systems via modeling and simulation ? Performance evaluation via the development of system prototypes, when warranted ? Test and evaluation of commercial-off-the-shelf (COTS) indoor localization solutions ? Literature survey of pedestrian navigation techniques in indoor environments ? Assessment of the efficacy of 5G wireless technology and indoor localization techniques, particularly in the context of public safety scenarios Key responsibilities will include, but are not limited to: ? Reading scholarly papers on indoor localization and understanding their contributions and how the proposed systems work ? Writing code for modeling, simulation, and performance evaluation of indoor localization systems ? Developing novel indoor localization systems ? Publishing the research results and making technical presentations on the work done ? Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization ? A doctoral degree in electrical engineering, computer science, or other related fields is preferred but not required. ? The prospective applicant does not have to be an expert in localization. However, good knowledge of wireless communications, digital signal processing, and computer algorithms is required. If necessary, the applicant selected for the position will be trained in indoor localization. ? Proficiency in programming languages such as C/C++, Python, and MATLAB is required, along with good computing skills. ? Strong oral and written communication skills. ? The ability to develop prototypes of indoor localization systems is a plus. Salary: $81,000 - $172,000 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 the 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

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.

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: Research Workflow Engineer (RWE) The work will entail: The Design, development, testing and deployment of a pipeline to accommodate common research data workflows. Use cases will be selected from CHIPS Metrology funded projects. The RWE will work with the NIST research data infrastructure team to connect different existing systems and processes within the research lifecycle to create a scalable and auditable data movement pipeline. Considerations for worklflow and data movement include data source and destination attributes , data sensitivity level, and access control. Key responsibilities will include but are not limited to: § Develop an understanding of the systems and processes of typical research data workflow. § Design, develop, test, and deploy a workflow system that will work with existing system components and accomplish a scalable and auditable data movement pipeline. § Incorporate data orchestration and movement with tools such as Apache Airflow and Kaftka, or Dagster (or other worthy alternatives) § Attend and present results at the weekly Research Data Infrastructure meetings. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization. § Regular meetings with NIST staff § 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. § Ability to work with real-time event data at scale. § Familiarity with multiple scripting languages. § 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: Evaluating and Advancing Measurement of Real-Time Deepfake Detection and Digital Injection Prevention for Digital Identity Services The work will entail: The increased availability of generative AI technology has given rise to fear of these tools being used to disrupt any number of cybersecurity safeguards implemented by US Government and commercial systems. Most notably, identity systems used to enable remote proof of identity and online access have found themselves in the crosshairs of attackers [1,2,3]. Many of these use real-time deepfake technology to defeat biometrics and human-supported identity verification systems. They use technical measures to insert (known as injection) modified or forged media (images or videos) into communication channels to defeat matching algorithms, presentation attack detection, or human reviewers. Protections against these attacks focus on two areas: defending against the injection and detecting the deepfakes. The project will focus on providing controls for the first and measurement for tools used in detection. No organization should rely on just one of these methods as it should be assumed that attackers will be able to achieve an injection. This makes accurate detection imperative, while at the same time, all efforts need to be made to deter injections since detection algorithms are nascent and will likely miss well-crafted deepfakes. Some products currently support detection capabilities, yet there are no well-established metrics, tests, or standards to measure the effectiveness of these technologies in combating real-world threats. This project will address this gap by evaluating risks posed by emerging injection techniques and real-time deepfakes and establishing a framework for measuring the efficacy of available controls. It will give NIST the foundation for a measurement-based approach to support federal government guidelines and future technology assessments. Ideally this research will set the framework for an ongoing technical evaluation capability like those established by the Face Recognition Technology Evaluation and Face Analysis Technology Evaluation programs. Key responsibilities will include but are not limited to: § Generating deepfake artifacts, § proposing a scientific framework for evaluation of different detection and prevention tools § recommending performance metrics for detection systems § Presenting results at internal meetings, and occasional meetings with external stakeholders. § Ensuring that results, protocols, software, and documentation have been archived or otherwise transmitted to the larger organization § assisting in the development of research papers or guidelines § A Doctorate or in a Doctoral program with a focus on Computer Science, Engineering, or Cybersecurity § 5-8 years of relevant experience. § Expertise in biometric systems and biometric system threats § Ability to work with leading software and hardware to replicate deepfake threats and evaluate detection system performance § Familiarity with multiple scripting languages. § Ability to develop deepfake artifacts for testing. § Strong oral and written communication skills. Salary: $120,579-$149,315 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

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 (US Citizen) This position is part of the National Institute of Standards and Technology (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 in the Applied Economics Office (AEO), a part of the Engineering Laboratory (EL) at NIST, which provides economic products and services through research and consulting to industry and government agencies in support of productivity enhancement, economic growth, and international competitiveness, with a focus on improving the life-cycle quality and economy of constructed facilities and manufacturing processes that support social and economic functions. AEO is integrated within EL's major research thrusts. AEO delivers high quality research and tool development that informs and assists stakeholders in their decision-making processes. Research Title: Life Cycle System Science of Materials and Engineered Systems The work will entail: We are looking for a life cycle assessment (LCA) expert (US Citizen) to join our team in evaluating materials and engineered systems using life cycle system science. The position will collaborate with NIST researchers and NIST's external collaborators in a variety of topics relevant to their work including economists, engineers, and scientists - connecting LCA to fundamental research, life-cycle analysis, and decision support tools related to activities across a range of research topic areas: building and infrastructure, energy, circular economy, resilience, and decision science. Initial activities will include developing and updating of LCA models for a variety of construction materials and building systems, semiconductors, microelectronics, and emerging technology recovery pathways, and engineered direct air capture technologies that will be published and maintained in repositories on the Federal LCA Commons. Key responsibilities could include, but are not limited to, leading the following activities: ? Review, assessment, and improvements to NIST's existing LCA data models and decision support tools ? Identify, quantify, and prioritize data gaps in product categories of interest to NIST ? Maintain and expand the Construction Materials and Building Systems repositories on the Federal LCA Commons ? Automate LCA model development workflow for transparency, repeatability, and efficiency ? Review, validation, and analysis of dynamic operational electricity LCA data ? Identify research and data gaps in current LCA-related activities at NIST ? Write research slide decks, reports, and/or journal articles ? Draft NIST research plan for increasing standardization and harmonization in LCA modeling ? Participate in ACLCA committees and sub-committees and LCA-relevant NIST consortia as appropriate ? US Citizen ? PhD in Engineering, Environmental Science, or related field ? At least 10 years of experience in life cycle assessment research ? Experience with life cycle assessment of at least five of the following topics: chemicals, plastics, photovoltaics, batteries, carbon dioxide removal, semiconductors, microelectronics, concrete, other building materials, or whole buildings ? Extensive experience with OpenLCA and its developer tools, and public life cycle inventory (LCI) databases, including the Federal LCA Commons repositories and GREET suite of tools ? Experience developing and updating large LCI datasets ? Experience in solving complex LCA-related problems (i.e., long supply chains and production processes, and evaluation of multiple impact indicators and methods ? Excellent writing and communication skills ? Self-driven and capable of working independently with minimal supervision Salary: $130,000 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 the 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 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

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: Senior Research Technician The work will entail: Serve as senior biological research technician supporting projects for the NIST Quantitative Flow Cytometry Program and the NIST Biomarker and Genomic Sciences Group . Support the NIST Quantitaive Flow Cytometry Program working with the flow cytometry team to execute experiments and maintain laboratory instruments and spaces. Support the NIST Biomarker and Genomic Sciences Group for general laboratory operations and safety. Key responsibilities will include but are not limited to: - Support laboratory maintenance, safety, and ordering for flow cytometry, molecular biology, and cell culture labs - Support the qualification and generation of wet-lab procedures for flow cytometry measurements and standards development by concucting experiments and maintaining various flow cytometry instruments - Analyze flow cytometry data using agreed upon softwares - Lead for cold storage monitoring systems and maintenance - Keep accurate and organized electronic records ? A minimum of a Master's degree in Computer Science, Biology, Microbiology or a related field. ? 5 years of relevant experience. ? Experience in molecular biology, mammalian cell culture ? Proficiency in flow cytometry experiments and data analysis ? Familiarity with maintenance of flow cytometers ? Strong written documentation skills. Salary: $123,500 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

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: Contributions to voluntary consensus standards on artificial intelligence The work will entail: Supporting the NIST artificial intelligence research and evaluation programs in contributing to standards developing organizations (SDOs) Key responsibilities will include but are not limited to: Identifying SDO projects, committees, or calls for input to which NIST experts should contribute. Crafting NIST written contributions to those projects, committees, or calls for input. Distributing SDO materials and potential NIST contributions to other NIST experts for input and review. Submitting NIST contributions in a timely fashion. Attending SDO committee meetings, including international meetings, to discuss contributions from NIST, other U.S. contributors, and international contributors. § Sharing information about contributions and standards activities with interested NIST experts. § If applicable, acting as an editor or in another leadership capacity for standards projects. § A Master's degree in Computer Science or a related field, OR a Bachelor's degree in such a field and professional experience equivalent to a Master's degree in such a field. § Familiarity with machine learning methods, including hands-on implementation experience with at least two machine learning-driven systems. § Familiarity with AI governance guidelines such as the NIST AI Risk Management Framework. § Strong oral and written communication skills, including both envisioning structure and content for nascent documents and line editing mature documents for technical precision and readability.

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: Biomedical engineer The work will entail: We are seeking to hire a biomedical engineer to be stationed at the NIST Gaithersburg Campus located in Gaithersburg, Maryland, close to Washington DC. The person hired for this position will provide technical support for executing cell-based experiments on laboratory automation systems. The person will be familiar with measurements methods for testing and experiment with biological cells. The person will also develop high-quality test methods through design-of-experiment techniques and sources of variability analysis with the use of automated instrumentation. Key responsibilities will include but are not limited to: § Perform biological assays (i.e. cell viability, antibody staining, flow cytometry, microscopy, fluorescence, absorbance) in a laboratory. § Assay plate design for automation systems. § Assay protocol adaptation to automation system control software (i.e. programming with Hamilton Venus) § Collaborate with a multidisciplinary team of researchers for design-of-experiment approaches for instrument performance analysis § Evaluation of replicate performance datasets in collaboration with NIST statisticians § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology or minimum 5-years experience in biotechnology related industry. § Experience with programming and using automation systems in the laboratory environment § Demonstrated ability to use advanced instrumentation and associated software for data analysis and system performance analysis. § Experience with performing common biological assays. § Demonstrated ability to write technical protocols, present results and generate data for reports. § Demonstrated ability for critical thinking, innovation and problem solving. § Ability to work independently and with a multi-disciplinary research team § Experience using spreadsheets and statistical software packages for data analysis. Salary: $111,688.00 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 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.

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: Biomedical engineer The work will entail: We are seeking to hire a biomedical engineer to be stationed at the NIST Gaithersburg Campus located in Gaithersburg, Maryland, close to Washington DC. The person hired for this position will provide technical support for executing cell-based experiments on laboratory automation systems. The person will be familiar with measurements methods for testing and experiment with biological cells. The person will also develop high-quality test methods through design-of-experiment techniques and sources of variability analysis with the use of automated instrumentation. Key responsibilities will include but are not limited to: § Perform biological assays (i.e. cell viability, antibody staining, flow cytometry, microscopy, fluorescence, absorbance) in a laboratory. § Assay plate design for automation systems. § Assay protocol adaptation to automation system control software (i.e. programming with Hamilton Venus) § Collaborate with a multidisciplinary team of researchers for design-of-experiment approaches for instrument performance analysis § Evaluation of replicate performance datasets in collaboration with NIST statisticians § Publish research findings in peer-reviewed journals and present at conferences and workshops. § Advanced degree (MS or PhD) in physics, engineering, biomedical engineering, biology or minimum 5-years experience in biotechnology related industry. § Experience with programming and using automation systems in the laboratory environment § Demonstrated ability to use advanced instrumentation and associated software for data analysis and system performance analysis. § Experience with performing common biological assays. § Demonstrated ability to write technical protocols, present results and generate data for reports. § Demonstrated ability for critical thinking, innovation and problem solving. § Ability to work independently and with a multi-disciplinary research team § Experience using spreadsheets and statistical software packages for data analysis.

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

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: Data science and AI expertise and student advising The work will entail: The researcher will help advise the research associates working on the various projects related to Public data repository. The work includes advising, monitoring and managing the work for AI enabled PDR, automation of digital assets collection and dynamic visualization of the tabular data in PDR. Researcher will use its expertise in multidisciplinary science projects specifically computer and data science. Key responsibilities will include but are not limited to: + Advise associates on various technologies + Provide expertise in data science specifically AI and machine learning + Guide and monitor the work regularly + Meet with NIST staff and engage in discussions § A PhD in Computer Science, Engineering, Manufacturing, or a related field. § 10+ years of relevant experience. § Experience in cross domain projects for data science § Worked on large scale data management and analysis § Strong oral and written communication skills. Salary: $102.5 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

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. Salary: $20-$30 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

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