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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. For example, see Professional Research Experience Program (PREP) ' Professional Research Experience Program (PREP) (umd.edu)
Research Title: Robotics and Perception Engineer: Perception Performance of Robotic Systems
Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on integrating 3D bin-picking vision systems with robotic arms and conducting experiments to evaluate their performance. This work will support the development of new metrics and standards for these systems.
Duties:
?Integrate robot arms and commercial bin-picking systems into the NIST/ISD bin-picking testbed.
?Program collaborative robot arms for conducting various tasks and experiments.
?Research the effects of various factors (part color, part surface properties, bin color, bin depth, ratio of part size to bin size, part distribution in a bin) on bin picking performance (e.g., cycle time, pose uncertainty, etc.).
?Collect data from various 3D imaging systems.
?Design and develop 3D printed artifacts and optimize 3D printer parameters for improved quality of the 3D prints.
?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.
?Assist in the development of demonstrations for trade shows and conferences.
?Write reports and contribute to peer-reviewed publications.
?The applicant selected for this position will receive minimal training in the use of certain systems needed for the work.
Qualifications
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 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. For example, see Professional Research Experience Program (PREP) ' Professional Research Experience Program (PREP) (umd.edu)
Research Title: Robotics and Perception Engineer: Perception Performance of Robotic Systems
Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on integrating 3D bin-picking vision systems with robotic arms and conducting experiments to evaluate their performance. This work will support the development of new metrics and standards for these systems.
Duties:
?Integrate robot arms and commercial bin-picking systems into the NIST/ISD bin-picking testbed.
?Program collaborative robot arms for conducting various tasks and experiments.
?Research the effects of various factors (part color, part surface properties, bin color, bin depth, ratio of part size to bin size, part distribution in a bin) on bin picking performance (e.g., cycle time, pose uncertainty, etc.).
?Collect data from various 3D imaging systems.
?Design and develop 3D printed artifacts and optimize 3D printer parameters for improved quality of the 3D prints.
?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.
?Assist in the development of demonstrations for trade shows and conferences.
?Write reports and contribute to peer-reviewed publications.
?The applicant selected for this position will receive minimal training in the use of certain systems needed for the work.
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
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 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. For example, see Professional Research Experience Program (PREP) ' Professional Research Experience Program (PREP) (umd.edu)
Research Title: Robotics and Perception Engineer: Perception Performance of Robotic Systems
Position Description: The Intelligent Systems Division at NIST is investigating the performance of 3D machine vision systems for various manufacturing applications. The research will focus on integrating 3D bin-picking vision systems with robotic arms and conducting experiments to evaluate their performance. This work will support the development of new metrics and standards for these systems.
Duties:
?Integrate robot arms and commercial bin-picking systems into the NIST/ISD bin-picking testbed.
?Program collaborative robot arms for conducting various tasks and experiments.
?Research the effects of various factors (part color, part surface properties, bin color, bin depth, ratio of part size to bin size, part distribution in a bin) on bin picking performance (e.g., cycle time, pose uncertainty, etc.).
?Collect data from various 3D imaging systems.
?Design and develop 3D printed artifacts and optimize 3D printer parameters for improved quality of the 3D prints.
?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.
?Assist in the development of demonstrations for trade shows and conferences.
?Write reports and contribute to peer-reviewed publications.
?The applicant selected for this position will receive minimal training in the use of certain systems needed for the work.
Salary Range
The referenced salary range represents the minimum and maximum salaries for this position and is based on Johns Hopkins University's good faith belief at the time of posting. Not all candidates will be eligible for the upper end of the salary range. The actual compensation offered to the selected candidate may vary and will ultimately depend on multiple factors, which may include the successful candidate's geographic location, skills, work experience, internal equity, market conditions, education/training and other factors, as reasonably determined by the University.
Total Rewards
Johns Hopkins offers a total rewards package that supports our employees' health, life, career and retirement. More information can be found here: https://hr.jhu.edu/benefits-worklife/.
Equal Opportunity Employer
The Johns Hopkins University is committed to equal opportunity for its faculty, staff, and students. To that end, the university does not discriminate on the basis of sex, gender, marital status, pregnancy, race, color, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status or other legally protected characteristic. The university is committed to providing qualified individuals access to all academic and employment programs, benefits and activities on the basis of demonstrated ability, performance and merit without regard to personal factors that are irrelevant to the program involved.
Pre-Employment Information
If you are interested in applying for employment with The 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 or accessibility at Johns Hopkins University, please visit accessibility.jhu.edu.
Background Checks
The successful candidate(s) for this position will be subject to a pre-employment background check including education verification.
Johns Hopkins University strongly encourages, but no longer requires, at least one dose of the COVID-19 vaccine. The COVID-19 vaccine does not apply to positions located in the State of Florida. We still require all faculty, staff, and students to receive the seasonal flu vaccine. Exceptions to the COVID and flu vaccine requirements may be provided to individuals for religious beliefs or medical reasons. Requests for an exception must be submitted to the JHU vaccination registry. 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. 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 employees 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.
The Johns Hopkins University (JHU) was founded in 1876 as the nation's first research university, dedicated to bringing the benefits of discovery to the world. JHU is the largest private employer in Baltimore and Maryland, making a large economic impact in the city and state. We enroll more than 30,000 full- and part-time students across ten academic divisions, offering in-person and remote learning in over 400 programs. Not only are we located in Baltimore, but we also have a presence in Washington, D.C.