The Johns Hopkins University and the Applied Physics Lab has two openings for the position of Postdoctoral Associate at the intersection of machine learning, computer vision, and large-scale systems. We are seeking highly talented researchers to develop, implement, and evaluate a novel framework for generative probabilistic graphical models, for interpreting video streams of complex, noisy and partially observable environments. The primary research areas for the positions are:

Probabilistic graphical models for computer vision that accommodate model learning with prior knowledge, and support a rich query language

Design and implementation of scalable inference algorithms and declarative languages for machine learning

Bayesian decision theory for sensor planning and mission- sensitive allocation of sensor resources

This position will be with Profs. Rene Vidal (BME), Yanif Ahmad (CS), Andreas Terzis (CS), and Dr. I-Jeng Wang (APL) at JHU. The work will be done in collaboration with Profs. Stuart Russell and Shankar Sastry at UC Berkeley, Prof. Alan Yuille at UCLA, and Dr. Avi Pfeffer at Charles RIver Analytics. The successful candidate should have a Ph.D. in a relevant quantitative field (e.g. Computer Science, Applied Math and Statistics, Electrical Engineering), a strong publication record in machine learning and Bayesian statistics, and strong interests in building software systems for use on real-world data streams. A background in several of MCMC methods, discrete optimization, Graph Cuts, distributed systems and programming languages is also desirable. The appointment will be for one year initially (renewable) starting January 2013 or as soon as possible thereafter.

Applications must be sent by email to Yanif Ahmad yanif@jhu.edu, and must include a brief letter of application, a CV including a list of publications, and names and email addresses of 2-3 referees. Review of applications will begin on December 20th, 2012.

The Vision, Dynamics and Learning Laboratory (http://www.vision.jhu.edu) of The Johns Hopkins University has several research openings for interns, undergraduate students, MS students, PhD students and postdoctoral researchers. We are looking for highly motivated students/researchers, who can work well in a highly collaborative environment and have a strong background in applied mathematics, biomedical engineering, computer science or electrical engineering. Our research spans a wide range of areas in biomedical image analysis, computer vision, machine learning, control theory and robotics. For a list of sample projects for 2012-2013 and for further information, please feel free to contact:

Prof. Rene Vidal
Center for Imaging Science
Johns Hopkins University