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 understand the performance of these 3D bin-picking systems. This work will support the development of new metrics and standards for these systems. 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: ? Integrate 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. ? Us e metrology systems (e.g., laser trackers, CMMs, etc.) for establishing reference measurements. ? Us e analysis software (e.g., MATLAB, Spatial Analyzer, Polyworks, Excel, etc.) to interpret results and produce visualizations. ? Assist in the development of demonstrations for tradeshows 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. ? Programming experience in one or more of the following computer languages: C++, Python, Java ? Experience with CAD software such as SolidWorks ? Experience using MATLAB. ? 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 ? Basic understanding of programming robot forward and inverse kinematics ? Working knowledge of 3D point cloud data processing techniques using Point Cloud ? Library (PCL - http://pointclouds.org ), CloudCompare, or other similar tools Salary: $71,000 a year Please upload the following with your application: - CV/Resume - 2 professional references *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. 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. For example, see Professional Research Experience Program (PREP) | Professional Research Experience Program (PREP) (umd.edu) (https://prep.umd.edu/) 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) (https://www.nist.gov/iaao/academic-affairs-office/nist-professional-research-experience-program-prep) which is designed to provide valuable laboratory experience and financial assistance to undergraduates, post-bachelor's degree holders, graduate students, master's degree holders, postdocs, and faculty. PREP is a 5-year cooperative agreement between NIST laboratories and participating PREP Universities to establish a collaborative research relationship between NIST and U.S. institutions of higher education in the following disciplines including (but may not be limited to) biochemistry, biological sciences, chemistry, computer science, engineering, electronics, materials science, mathematics, nanoscale science, neutron science, physical science, physics, and statistics. This collection of information is needed to facilitate administrative functions of the PREP Program. Routine Uses: NIST will use the information collected to perform the requisite reviews of the applications to determine eligibility, and to meet programmatic requirements. Disclosure of this information is also subject to all the published routine uses as identified in the Privacy Act System of Records Notices: NIST-1: NIST Associates. Disclosure: Furnishing this information is voluntary. When you submit the form, you are indicating your voluntary consent for NIST to use the information you submit for the purpose stated. Job Type: Full Time The listed salary range represents the minimum and maximum Johns Hopkins University offers for this position, based on a good faith estimate at the time of posting. Actual compensation will vary depending on factors such as location, skills, experience, market conditions, education, and internal equity. Not all candidates will qualify for the highest salary in the range. Johns Hopkins provides a comprehensive benefits package supporting health, career, and retirement. Learn more: https://hr.jhu.edu/benefits-worklife/. 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. 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