[visionlist] Postdoctoral position in the Human Sensing Laboratory at Carnegie Mellon University

Fernando De la Torre ftorre at cs.cmu.edu
Sat Jul 3 10:34:40 GMT 2010


 Human-observer based methods for measuring human motion are labor intensive
qualitative, and difficult to standardize across laboratories, clinical
settings, and over time. Moreover, many conditions that affect normal human
movements are currently diagnosed during short visits to the clinician.
Advances in wearable and wireless sensor networks have opened up new
opportunities in health care systems.  We are looking for a postdoc to
develop novel machine learning algorithms able to perform medical diagnosis,
temporal segmentation and activity recognition from accelerometer data. To
qualify for the position, it is mandatory to have research experience in
time series analysis. A proven record of publications in top machine
learning conferences and journals is required. This will initially be a one
year position with the possibility of an extension pending funding.

To apply: Applications should be sent by email to jkh at cs.cmu.edu and
ftorre at cs.cmu.edu . It should include a CV, a brief statement of research
interests, the expected date of availability and the name for 3 references.
Applications should be sent as soon as possible and preferably before July
20th, 2010,   but later applications may be considered until the position is
filled.

 

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