Assistant Research Engineer/Scientist position in Computer Vision and Computer Integrated Surgery
The Johns Hopkins University Laboratory for Computational Sensing and Robotics (lcsr.jhu.edu) seeks an Assistant Research Engineer/Scientist to lead the development of computer vision, robotics and related software. We are looking for a candidate who is excited to work in a fast-paced, collaborative research environment and who will support projects by:
The ideal candidate would have the following qualifications:
This full time position is open immediately.
Interested applicants should apply https://apply.interfolio.com/48754. Please include a detailed resume/CV and at least three references.
For further information contact:
Laboratory for Computational Sensing and Robotics
Johns Hopkins University
Johns Hopkins University is committed to active recruitment of a diverse faculty 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.
Lecturer in Robotics
The Laboratory for Computational Sensing and Robotics (LCSR) at the Johns Hopkins University invites applications for a position as full-time Lecturer. The individual selected for this position will be expected to contribute to our educational mission through teaching, curriculum development, and advising and mentoring students, including Robotics MSE students and undergraduate Robotics minors. Johns Hopkins is a private university well known for its commitment to academic excellence and research. Robotics at Johns Hopkins is among the top in the country in terms of research activities and educational programs. See our web page at http://lcsr.jhu.edu for additional information about research and educational activities. This is a non-tenure-track position, with opportunity for career progression in the non-tenure-track positions of Senior Lecturer, Associate Teaching Professor, and Teaching Professor.
Qualified candidates at all ranks (Lecturer, Senior Lecturer, Associate Teaching Professor, Teaching Professor) will be considered. The ideal candidate will have earned a Ph.D. in Robotics, Mechanical Engineering, Computer Science, Electrical Engineering, or a closely related field, has a minimum of 5 years of experience in robotics research and development, and will have demonstrated excellence in teaching. It is desired that the candidate has experience and interest in teaching courses in the broad areas of robotics and sensing. Experience in industry or with practically deployed robotic systems is also desirable. We seek candidates with experience teaching and advising students from diverse backgrounds/underrepresented groups. Teaching responsibilities would include graduate and undergraduate courses in topics such as robot kinematics, dynamics, control, computer vision, sensor based navigation, motion planning, machine learning, and other closely related topics. Candidates for the positions Associate Teaching Professor or Teaching Professor must have a long and distinguished record of teaching robotics in higher education, including building recognized robotics educational programs at the graduate and undergraduate level. The successful candidate will work closely with faculty colleagues on curricular development.
Applications should include a cover letter, a curriculum vitae, a statement of teaching philosophy and interests, and a list of references. The application should be submitted electronically via https://apply.interfolio.com/46079. Applicants should arrange for three reference letters to uploaded. Applications will be considered beginning November 30, 2017.
Questions should be directed to Noah J. Cowan at email@example.com.
The LCSR is committed to a diverse and inclusive environment. We seek candidates who through their teaching and service contribute to the diversity and excellence of our academic community. 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 excellent in all areas, we will assess the comprehensive qualifications of each applicant.