[robotics-worldwide] Post-doctoral and Ph.D positions in control and estimation at Johns Hopkins

Marin Kobilarov marin at jhu.edu
Tue Oct 2 10:05:48 PDT 2012

The Autonomous Systems, Control, and Optimization Laboratory (ASCOL) at
Johns Hopkins University has one open post-doctoral position and one open
Ph.D. position in the areas of control, motion planning, and estimation.
ASCOL was recently established and is part of the Laboratory for
Computational Sensing and Robotics (LCSR) -- one of the largest robotics
research centers in the world.

--- Post-doctoral position ---

The post-doctoral fellow will lead research in the area of motion planning,
control, and sensor fusion. Candidates with a Ph.D (expected or
completed) in mechanical, aerospace, electrical engineering, computer
science or a related discipline and background in integrating real-time
control and perception (e.g. using vision or depth cameras) and
implementation on real robots are encouraged to apply. Excellent
programming skills in C/C++, Matlab, and environments such as ROS are
highly desirable. Experience with hardware design/rapid prototyping is
useful, but not required.

The post-doctoral researcher will have the opportunity to propose and lead
novel directions of research, interact with robotics faculty at LCSR and
have access to state-of-the art research facilities. The researcher will
work closely with Prof. Marin Kobilarov on collaborative projects that
typically include a balance of analytical developments and real-system
implementation and testing. Applicants should send a recent CV, list of
publications, and names of references to Prof. Marin Kobilarov (
marin at jhu.edu). The position is available immediately and applications will
be considered until it is filled.

--- Ph.D position ---

Applicants to the Ph.D program with strong analytical, mathematical, and
writing skills, and a demonstrated interest in robotics and autonomous
systems are encouraged to apply. Good programming skills and experience in
mechatronics including hardware construction/rapid prototyping are highly

Ph.D applicants are admitted either in the Spring semester (deadline is Oct
15) and Fall semester (deadline is January 7) and should apply online at:
http://www.me.jhu.edu/gradadmis.html Prospective applicants with the
necessary qualifications are encouraged to contact Prof. Marin Kobilarov (
marin at jhu.edu) early in the application process.

--- About the Autonomous Systems, Control, and Optimization Laboratory
(ASCOL) ---


The research goal of the lab is to create robots with unprecedented agility
and robustness that can fully exploit their dynamical and sensing abilities
to operate in natural environments. Such systems will be aware of the
complex interaction between mechanics, perception and control, and will
compute adaptively with performance guarantees in the presence of

The lab performs research in analytical and computational methods at the
intersection of dynamical systems and control, optimization, estimation
theory, and machine learning, and in the design and integration of novel
mechanisms and embedded systems. Current application areas include the
development of autonomous aerial robots and nano-satellites, and
computational tools for motion optimization and control of multi-body
mechanical systems.

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