• Assistant Research Engineer/Scientist in Mechanical Engineering

  The Johns Hopkins University Laboratory for Computational Sensing and Robotics (lcsr.jhu.edu) seeks an Assistant Research Engineer/Scientist to lead the development of mechanical systems and components for robots.

  The ideal candidate is a highly motivated engineer, expected to work independently and in a group environment with faculty and students. The applicant will be expected to work with mechanical and electrical systems and on multiple projects in a fast-paced research environment.

  This individual will utilize ProE/Solidworks to design and reverse engineer complex assemblies. She or he will contribute to conceptualization, proposals, execution, and logistics to facilitate research addressing critical robotics knowledge gaps.

  Projects will focus on robotics research, but range from one-off component development to large-scale coordinated efforts. Tasks focus on robot modification, custom research fixtures, and data collection devices. Research platforms include medical robots, mobile robots (drones, underwater, self-driving cars), exoskeletons, and industrial robots.

  Experience with robotic systems, complex assembly design, and rapid prototyping is preferred.

  Assignments include:

  • Managing multiple priorities
  • Interfacing with faculty, students, engineers, designers, and lab personnel
  • Researching, designing, and validating complex assemblies
  • Analyzing problems, providing solutions, and providing support
  • Documenting designs, assembly procedures, and installation protocols
  • Travel to research sites (will fluctuate with projects, but will generally be <10%)

  Required Qualifications:

  • Master’s degree in Mechanical Engineering or equivalent. Candidates with a lesser degree and significant experience in lieu of master’s degree may be considered. Ph.D. is a plus
  • Demonstrated understanding of robot mechanical systems
  • Strong writing and organizational skills
  • Solid understanding of engineering principles needed to design, fabricate, and validate work
  • Strong background in complex assembly design
  • Experience in material selection and mechanical design principles
  • Demonstrated computer modeling/computer aided design experience
  • Basic knowledge and capability in manufacturing processes, both traditional (lathe, mill, casting, etc.) and modern (laser cutter, 3D printing, etc.)

  Preferred Qualifications:

  • Previous experience working on or with robotic systems
  • Preference given for experience in academic or industry research environment
  • Preference for strong fabrication background
  • Preferred ProE/Solidworks experience
  • Knowledge of engineering best practices
  • Experience with Matlab, Python, or similar computational environment

  This full time position is open immediately. Interested applicants should apply online via Interfolio using the Apply Now button below. Please include a detailed resume/CV and at least three references.

  For Further Information Contact:

  Lorrie Dodd, Administrative Manager
  Laboratory for Computational Sensing and Robotics
  Johns Hopkins University
  ldodd@jhu.edu
  +1-410-516-0740

  More information about the “Research Engineer/Scientist” academic job track at Johns Hopkins may be found at http://sites.krieger.jhu.edu/academic-council/files/2018/11/Academic-Titles_2018-11-07.pdf

• Research Assistant in Fluid Dynamics

  The Johns Hopkins Laboratory for Experimental Fluid Dynamics in the department of mechanical engineering is seeking a highly motivated research assistant to contribute to the research in turbulent boundary layer over surface roughness. The assistant’s primary role is to accelerate hologram processing algorithms (currently written in MATLAB) via C/C++ as well as GPU computing. The algorithms are used to extract the 3D velocity field from the holograms taken in the experiments. Candidates are expected to be proficiency in MATLAB and C/C++, have strong coding abilities, and know digital image processing techniques. The assistant will work closely with postdocs and graduate students in the laboratory. Through the work, the assistant will learn the working principle of tomographic holography, apply the coding skills learned in class to real-world problems, and gain substantial research/lab experience. For interested candidates, please send inquiry emails to: Jian Gao at jgao15@jhu.edu 

Johns Hopkins University is committed to active recruitment of a diverse faculty, staff, and student body. The University is an Affirmative Action/Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities and encourages applications from these and other protected group members. Consistent with the University’s goals of achieving excellence in all areas, we will assess the comprehensive qualifications of each applicant.

The Whiting School of Engineering and the Department of Mechanical Engineering are committed to building a diverse educational environment.

_____

If you have a job you’d like posted, please contact Ms. Deana Santoni at dsantoni@jhu.edu with details.