User Modeling and Machine Learning Position at Palo Alto Research Center (PARC)
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oliver brdiczka
May 15, 2012, 2:05:25 PM5/15/12
to Machine Learning News
PARC is looking for a research scientist in User Modeling and Machine
Learning. Recent Ph.D. graduates and well-established scientists are
encouraged to apply. We specialize in researching, designing, and
prototyping systems that apply machine learning techniques,
statistical modeling, and signal processing to real-world problems in
domains like advertising, healthcare, public safety, employee
benefits, IT outsourcing, financial services, and consumer
electronics. We work closely with psychologists, ethnographers, user
experience designers, and developers to create novel solutions that
lead to patents, academic publications, and commercial prototypes,
products, services.
The ideal candidate should have experience in solving problems by
inventing and applying state-of-the-art user modeling and machine
learning technologies, including supervised/non-supervised learning,
data analytics, signal processing, large scale inference, and related
fields. The candidate will work with internal and external
collaborators and is expected to take on challenges in reasoning and
analyzing large volumes of data.
Responsibilities:
* Formulate problems and develop solutions using machine learning and
statistical modeling methods
* Design, develop, and deliver innovative approaches, methods, and
algorithms, as needed
* Apply state-of-the-art data mining and statistical modeling methods
to large volumes of data
* Writing government and client proposals
* Design and lead the development of software prototypes
Requirements:
* Ph.D. in Computer Science, Electrical Engineering, or related disciplines
* Demonstrated expertise in machine learning, data mining, or
probabilistic inference
* Demonstrated implementation skills of putting theory to practice
* Experience with mobile platforms (iOS, android development) is a plus
* Experience with large scale data analysis platforms such as Hadoop is a plus
More details can be found here:
http://www.parc.com/job/253/user-modeling-and-machine-learning.html
Learning. Recent Ph.D. graduates and well-established scientists are
encouraged to apply. We specialize in researching, designing, and
prototyping systems that apply machine learning techniques,
statistical modeling, and signal processing to real-world problems in
domains like advertising, healthcare, public safety, employee
benefits, IT outsourcing, financial services, and consumer
electronics. We work closely with psychologists, ethnographers, user
experience designers, and developers to create novel solutions that
lead to patents, academic publications, and commercial prototypes,
products, services.
The ideal candidate should have experience in solving problems by
inventing and applying state-of-the-art user modeling and machine
learning technologies, including supervised/non-supervised learning,
data analytics, signal processing, large scale inference, and related
fields. The candidate will work with internal and external
collaborators and is expected to take on challenges in reasoning and
analyzing large volumes of data.
Responsibilities:
* Formulate problems and develop solutions using machine learning and
statistical modeling methods
* Design, develop, and deliver innovative approaches, methods, and
algorithms, as needed
* Apply state-of-the-art data mining and statistical modeling methods
to large volumes of data
* Writing government and client proposals
* Design and lead the development of software prototypes
Requirements:
* Ph.D. in Computer Science, Electrical Engineering, or related disciplines
* Demonstrated expertise in machine learning, data mining, or
probabilistic inference
* Demonstrated implementation skills of putting theory to practice
* Experience with mobile platforms (iOS, android development) is a plus
* Experience with large scale data analysis platforms such as Hadoop is a plus
More details can be found here:
http://www.parc.com/job/253/user-modeling-and-machine-learning.html
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