Johns Hopkins University
Postdoctoral Fellow (PREP0003459)
Johns Hopkins University, Gaithersburg, Maryland, us, 20883
Overview
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 project will focus on developing a procedure for quantifying uncertainties in wind loads on a tall building estimated by Computational Fluid Dynamics (CFD) techniques. The research work will include i) development and application of state-of-the-art computational techniques for simulation of flow around tall buildings, (ii) quantification of uncertainty in the computational simulations, and (iii) comparison of simulation results with wind tunnel and field measurements. All CFD code will be developed for implementation into the OpenFOAM software. Key responsibilities
Developing CFD modeling procedures for simulating flow around tall buildings and implementing related codes in OpenFOAM Performing numerical simulations and quantifying uncertainties in the simulation results Analyzing simulation data and comparing them with measured data from wind tunnel tests Qualifications
Ph.D. in Engineering, Physics, Applied Mathematics, or a related field Prior experience and contributions in wind engineering, Computational Fluid Dynamics, and scientific computing Familiarity with OpenFOAM to develop and maintain codes Strong programming and analytical skills for pre-/post-processing and analysis (e.g., Pointwise, Paraview, Tecplot, MATLAB, and Python) Application Instructions
Please upload the following with your application: CV/Resume Please limit CV to 3 pages only and ONLY include a valid email address for your contact info. 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 PREP program 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 various disciplines. 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 subject to the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure:
Furnishing this information is voluntary. By submitting, you consent to NIST’s use of the information for the stated purpose. To apply for this position, visit: apply.interfolio.com/168391 Salaries, Benefits & Equal Opportunity
Salary Range:
The referenced salary range represents the minimum and maximum salaries for this position based on institutional factors. Not all candidates will be eligible for the upper end of the range. Actual compensation will depend on location, skills, experience, and other factors. Total Rewards:
Johns Hopkins offers a total rewards package that supports health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/. Equal Opportunity Employer:
Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students and does not discriminate on the basis of sex, gender, race, color, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other legally protected characteristics. Pre-Employment Information:
If accommodations are needed during the pre-employment process, contact the HR Business Services Office. The successful candidate will be subject to a pre-employment background check including education verification. EEO is the Law:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf Diversity and Inclusion:
Johns Hopkins University values diversity and inclusion; related information is available in the university’s framework. We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.
#J-18808-Ljbffr
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 project will focus on developing a procedure for quantifying uncertainties in wind loads on a tall building estimated by Computational Fluid Dynamics (CFD) techniques. The research work will include i) development and application of state-of-the-art computational techniques for simulation of flow around tall buildings, (ii) quantification of uncertainty in the computational simulations, and (iii) comparison of simulation results with wind tunnel and field measurements. All CFD code will be developed for implementation into the OpenFOAM software. Key responsibilities
Developing CFD modeling procedures for simulating flow around tall buildings and implementing related codes in OpenFOAM Performing numerical simulations and quantifying uncertainties in the simulation results Analyzing simulation data and comparing them with measured data from wind tunnel tests Qualifications
Ph.D. in Engineering, Physics, Applied Mathematics, or a related field Prior experience and contributions in wind engineering, Computational Fluid Dynamics, and scientific computing Familiarity with OpenFOAM to develop and maintain codes Strong programming and analytical skills for pre-/post-processing and analysis (e.g., Pointwise, Paraview, Tecplot, MATLAB, and Python) Application Instructions
Please upload the following with your application: CV/Resume Please limit CV to 3 pages only and ONLY include a valid email address for your contact info. 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 PREP program 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 various disciplines. 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 subject to the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure:
Furnishing this information is voluntary. By submitting, you consent to NIST’s use of the information for the stated purpose. To apply for this position, visit: apply.interfolio.com/168391 Salaries, Benefits & Equal Opportunity
Salary Range:
The referenced salary range represents the minimum and maximum salaries for this position based on institutional factors. Not all candidates will be eligible for the upper end of the range. Actual compensation will depend on location, skills, experience, and other factors. Total Rewards:
Johns Hopkins offers a total rewards package that supports health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/. Equal Opportunity Employer:
Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students and does not discriminate on the basis of sex, gender, race, color, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other legally protected characteristics. Pre-Employment Information:
If accommodations are needed during the pre-employment process, contact the HR Business Services Office. The successful candidate will be subject to a pre-employment background check including education verification. EEO is the Law:
https://www.eeoc.gov/sites/default/files/2023-06/22-088_EEOC_KnowYourRights6.12ScreenRdr.pdf Diversity and Inclusion:
Johns Hopkins University values diversity and inclusion; related information is available in the university’s framework. We are now directing you to the original job posting. Please apply directly for this job at the employer’s website.
#J-18808-Ljbffr