We are happy to announce several new openings for MERL’s sensing team. As I always like to mention, MERL is a great place to work, and has a great research environment. We are a very diverse lab, with expertise in a large variety of disciplines. Our relatively small size enables very fruitful interaction among us. Even within the computational sensing team, the diversity is evident in these openings.

One of the openings is for a postdoctoral researcher in signal processing, with particular emphasis on signal acquisition and active sensing technologies. We are looking for a person to assist us in a number of very interesting sensing projects, with several publications and patents expected. The posting here:

http://www.merl.com/employment/employment.php#MM21

We also have several, more specific, internship openings in sensing, processing and control, all listed below. Interns are typically involved in one project, guided by one or more researchers. We expect that the work will lead to at least one publication and/or patent for each internship.

http://www.merl.com/internship/openings.php?tags=MM1008&tags=MM1017&tags=MM1010&tags=MM1006

Of course, there are several internship openings in other areas, including speech, vision, control, and machine learning, which you can find here:

http://www.merl.com/internship/openings.php

and postdoc/full-time positions here:

http://www.merl.com/employment/employment.php

Please spread the word and apply!

We have a new internship opening at MERL in the area of sensor fusion. The posting follows:

MM880: Sensor fusion

MERL is looking for a well qualified individual to develop novel technologies for sensor fusion. The ideal candidate will have a solid background in depth sensing, computer vision, and/or image processing. Familiarity with calibrating optical systems is a plus. The work will involve the development and implementation of relevant algorithms in MATLAB, Python, and/or C/C++. The intern will collaborate with MERL researchers, conduct experiments, and prepare manuscripts for academic publications. The duration of the internship is expected to be at least 3 months; dates are flexible. Graduate students at any level of their degree program are encouraged to apply. Follow this link to apply.

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