Tenured or Tenure-Track Faculty Position in Robotics

The Whiting School of Engineering and the Laboratory for Computational Sensing and Robotics (LCSR) at Johns Hopkins University are seeking outstanding faculty candidates whose research will contribute to the development and advancement of engineering methods in robotics. More information about the Whiting School of Engineering can be found at https://engineering.jhu.edu, and more information about LCSR may be found at https://lcsr.jhu.edu.

This search is open to all faculty ranks and to candidates in all engineering disciplines including Computer Science, Mechanical Engineering, Electrical and Computer Engineering, and Biomedical Engineering. Tenure-line appointments will be in an appropriate academic department within the Whiting School of Engineering.  Of particular interest are established candidates with a focus on robotics in all aspects of healthcare.  Examples include interventional/surgical systems, rehabilitation, assistive robotics for healthcare, medical imaging, or neuroscience, nursing assistants, etc.  Candidates with a demonstrated ability to translate their work to healthcare-related settings are especially sought.

LCSR is a large multi-disciplinary center within the Whiting School of Engineering with over 200 people.  LCSR’s research strategy emphasizes both fundamental and translational research in many aspects of robotics.  The Center collaborates actively with the School of Medicine, with the Johns Hopkins Applied Physics Laboratory, with other divisions within the University, and with leading Industry and academic research institutions worldwide.

Opportunities exist for interactions across Johns Hopkins in transdisciplinary Centers and Institutes including LCSR, the Malone Center for Engineering in Healthcare, the Institute for Computational Medicine, the Institute for NanoBio Technology, the Institute for Data Intensive Engineering and Science, the Environment, Energy, Sustainability, and Health Institute, and Divisions across Johns Hopkins including the JHU Applied Physics Laboratory, the JHU School of Medicine, the Krieger School of Arts and Sciences, and the Bloomberg School of Public Health

All applicants must hold a Ph.D. in an engineering or related field and will be expected to establish a strong, independent, multidisciplinary, and internationally recognized research program. Commitment to teaching excellence at the undergraduate and graduate levels is required.

Applicants at the level of Assistant Professor should apply using the Interfolio web portal (https://apply.interfolio.com/58569) by supplying a current CV, Research Statement, Teaching Statement, recent publications, and the names and contact information of at least three references. Applicants at the level of Associate or Full Professor should contact LCSR_Fac_Search@jhu.edu regarding instructions on how to apply.  Questions may be directed to LCSR_Fac_Search@jhu.edu.  Applications will be reviewed on a continuing basis until the position is filled. Candidates who complete their applications by February 15, 2019 will receive full consideration for appointments starting in the 2019 academic year.

The 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.  The Whiting School of Engineering and LCSR are committed to building a diverse educational environment, and women and minorities are strongly encouraged to apply.

Teaching-Track Faculty Position in Robotics

The Laboratory for Computational Sensing and Robotics (LCSR) at the Johns Hopkins University invites applications for a full-time teaching faculty position. 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 USA 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 control, robot vision, sensor-based navigation, machine learning for robotics, and other closely related topics. Candidates with expertise with physical testbeds and strong ROS programming skills will be preferred.

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, 2018.

Questions should be directed to Prof. Greg Chirikjian, LCSR Deputy Director, at lcsr-lec-search@jhu.edu.

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.

Navigation and Locomotor Control in Augmented Reality
PI’s: Noah Cowan & James Knierim, Johns Hopkins University

The Cowan and Knierim laboratories have multiple funded projects from NIH and DOD investigating the neural computations that underlie navigation in the physical world. We are using a novel augmented reality apparatus and multi-electrode neural recordings of place cells, grid cells, head direction cells, and other cell types of the hippocampus and related brain regions to reverse engineer the interplay between navigation and locomotor control in freely behaving animals (see https://limbs.lcsr.jhu.edu/ and http://sites.krieger.jhu.edu/knierim-lab/). We are seeking dynamic and ambitious postdoctoral candidates who are highly skilled in experimental research in potentially diverse areas (e.g. biomechanics, neuroscience, robotics, control systems, or physics). The ideal candidate will also have a strong computational background (e.g. dynamical systems, information theory, control theory) and/or strong data analysis skills (e.g. statistical methods, data mining, Bayesian filtering, spectral analysis, machine learning).

Qualifications: PhD in Engineering, Neuroscience, Biology, Physics, Computer Science, or related fields. Strong computational and experimental background a must.

How to apply: Interested applicants should send a single PDF including a brief (1 page) cover letter, CV (no more than 4 pages, including a list of 3 references), and up to two papers to ncowan@jhu.edu