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: Physics-Based Simulation and Dual-Laser Process Optimization for Additive Manufacturing The work will entail: As part of its efforts to meet the needs of U.S. manufacturers in advanced manufacturing, the National Institute of Standards and Technology (NIST) has developed open-architecture additive manufacturing (AM) research platforms, including the Additive Manufacturing Metrology Testbed (AMMT) and the Laser Processing and Metrology Testbed (LPDT). This 50% part-time position will primarily support physics-based modeling, simulation, and optimization of advanced laser powder bed fusion (LPBF) processing strategies, with particular emphasis on dual-laser scan strategies and model-based process control. The Research Associate will develop and apply thermal, melt-pool, and thermomechanical models to design and optimize laser scan paths and power schedules, and will compare model predictions with process-monitoring measurements and experimental results. The associate will also support post-process material characterization and experimental validation. The position may be performed primarily remotely; occasional travel to NIST in Gaithersburg, Maryland, and to synchrotron facilities, including the Advanced Photon Source (APS) and Cornell High Energy Synchrotron Source (CHESS), will be required to support on-site experiments. U.S. Citizen preferred Key responsibilities will include but are not limited to: ▪ Develop, calibrate, and apply physics-based thermal, melt-pool, and thermomechanical models for laser powder bed fusion, including finite element, finite volume, finite difference, and/or reduced-order approaches. ▪ Use simulation and experimental data to develop and optimize advanced single- and dual-laser scan strategies and laser power schedules for control of thermal history, melt-pool behavior, microstructure, porosity, distortion, spatter, and related process outcomes. ▪ Develop and document MATLAB, Python, or similar computational workflows for simulation, optimization, data processing, visualization, and quantitative analysis. ▪ Compare model predictions with in-situ process-monitoring and synchrotron measurements, and use experimental results for model calibration and validation. ▪ Support planning, setup, execution, and data collection for experiments conducted on NIST AMMT, LPDT, and related research platforms, including occasional experiments at external synchrotron facilities. ▪ Perform and analyze post-process material characterization using techniques such as optical microscopy, SEM, EBSD, metallography, X-ray computed tomography, and density/porosity measurements. Present and document research results at internal meetings and coordinate effectively with NIST researchers, university collaborators, and external facility partners. Qualifications ▪ PhD degree, or current enrollment in a PhD program, in mechanical engineering, materials science and engineering, or a closely related field, with research focused on additive manufacturing, process modeling, or process control. ▪ Demonstrated experience with physics-based modeling and simulation of laser powder bed fusion or related laser-material interaction processes. ▪ Experience with thermal and/or thermomechanical modeling using finite element, finite volume, finite difference, reduced-order, or related numerical methods. ▪ Experience with laser scan strategy development, process optimization, laser power scheduling, feedforward control, or other model-based control approaches for additive manufacturing. ▪ Experience with multi-laser or dual-laser additive manufacturing modeling, simulation, control, or experimentation is strongly preferred. ▪ Familiarity with laser powder bed fusion experiments, in-situ process monitoring, and post-process material characterization. ▪ Proficiency in MATLAB and/or Python for scientific computing, modeling, optimization, and data analysis; experience with C/C++ or related tools is desirable. ▪ Ability to work independently in a remote environment while collaborating effectively with a multidisciplinary team, with willingness to travel occasionally to NIST and external synchrotron facilities for on-site experiments. Application Instructions 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. Equal Employment Opportunity Statement Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu . Background Checks After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate’s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought. EEO is the Law https://www.eeoc.gov/employees-job-applicants Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine . Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/ . The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.

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: Physics-Based Simulation and Dual-Laser Process Optimization for Additive Manufacturing The work will entail: As part of its efforts to meet the needs of U.S. manufacturers in advanced manufacturing, the National Institute of Standards and Technology (NIST) has developed open-architecture additive manufacturing (AM) research platforms, including the Additive Manufacturing Metrology Testbed (AMMT) and the Laser Processing and Metrology Testbed (LPDT). This 50% part-time position will primarily support physics-based modeling, simulation, and optimization of advanced laser powder bed fusion (LPBF) processing strategies, with particular emphasis on dual-laser scan strategies and model-based process control. The Research Associate will develop and apply thermal, melt-pool, and thermomechanical models to design and optimize laser scan paths and power schedules, and will compare model predictions with process-monitoring measurements and experimental results. The associate will also support post-process material characterization and experimental validation. The position may be performed primarily remotely; occasional travel to NIST in Gaithersburg, Maryland, and to synchrotron facilities, including the Advanced Photon Source (APS) and Cornell High Energy Synchrotron Source (CHESS), will be required to support on-site experiments. U.S. Citizen preferred Key responsibilities will include but are not limited to: ▪ Develop, calibrate, and apply physics-based thermal, melt-pool, and thermomechanical models for laser powder bed fusion, including finite element, finite volume, finite difference, and/or reduced-order approaches. ▪ Use simulation and experimental data to develop and optimize advanced single- and dual-laser scan strategies and laser power schedules for control of thermal history, melt-pool behavior, microstructure, porosity, distortion, spatter, and related process outcomes. ▪ Develop and document MATLAB, Python, or similar computational workflows for simulation, optimization, data processing, visualization, and quantitative analysis. ▪ Compare model predictions with in-situ process-monitoring and synchrotron measurements, and use experimental results for model calibration and validation. ▪ Support planning, setup, execution, and data collection for experiments conducted on NIST AMMT, LPDT, and related research platforms, including occasional experiments at external synchrotron facilities. ▪ Perform and analyze post-process material characterization using techniques such as optical microscopy, SEM, EBSD, metallography, X-ray computed tomography, and density/porosity measurements. Present and document research results at internal meetings and coordinate effectively with NIST researchers, university collaborators, and external facility partners. Qualifications ▪ PhD degree, or current enrollment in a PhD program, in mechanical engineering, materials science and engineering, or a closely related field, with research focused on additive manufacturing, process modeling, or process control. ▪ Demonstrated experience with physics-based modeling and simulation of laser powder bed fusion or related laser-material interaction processes. ▪ Experience with thermal and/or thermomechanical modeling using finite element, finite volume, finite difference, reduced-order, or related numerical methods. ▪ Experience with laser scan strategy development, process optimization, laser power scheduling, feedforward control, or other model-based control approaches for additive manufacturing. ▪ Experience with multi-laser or dual-laser additive manufacturing modeling, simulation, control, or experimentation is strongly preferred. ▪ Familiarity with laser powder bed fusion experiments, in-situ process monitoring, and post-process material characterization. ▪ Proficiency in MATLAB and/or Python for scientific computing, modeling, optimization, and data analysis; experience with C/C++ or related tools is desirable. ▪ Ability to work independently in a remote environment while collaborating effectively with a multidisciplinary team, with willingness to travel occasionally to NIST and external synchrotron facilities for on-site experiments. Application Instructions 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. Equal Employment Opportunity Statement Salary Range The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University. Total Rewards Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/ . Equal Opportunity Employer The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristics. The University is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors or demographic characteristics that are irrelevant to the program involved. Pre-Employment Information If you are interested in applying for employment with Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the HR Business Services Office at jhurecruitment@jhu.edu . For TTY users, call via Maryland Relay or dial 711. For more information about workplace accommodations at Johns Hopkins University for disabilities, medical conditions (including medical conditions related to pregnancy or childbirth), accessibility, or religious reasons, please visit accessibility.jhu.edu . Background Checks After receiving a conditional offer, the successful candidate(s) for this position will be subject to a pre-employment background check including education verification. When deciding whether a candidate’s conviction history is job-disqualifying, the University considers the nature and gravity of the offense, the time that has passed since the conviction, and the nature of the job being sought. EEO is the Law https://www.eeoc.gov/employees-job-applicants Vaccine Requirements Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. This change does not apply to the School of Medicine (SOM). SOM hires must be fully vaccinated with an FDA COVID-19 vaccination and provide proof of vaccination status. We still require all faculty, staff, and students to receive the seasonal flu vaccine . Exceptions to the seasonal flu vaccine or COVID-19 vaccine (for SOM) requirement(s) may be provided to individuals with sincerely held religious beliefs or medical conditions that preclude them from receiving the vaccine. Requests for an exception must be submitted to the JHU vaccination registry. For additional information, applicants for SOM positions should visit https://www.hopkinsmedicine.org/coronavirus/covid-19-vaccine/ and all other JHU applicants should visit https://covidinfo.jhu.edu/health-safety/covid-vaccination-information/ . The following additional vaccine requirements may apply, depending upon your campus. Please contact the hiring department for more information. The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those candidates who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.