Dear all,
PARC is hiring! Please find details below.
Thank you,
Oliver Brdiczka
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Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.
We are seeking a research scientist in User Modeling and Machine Learning. Recent Ph.D. graduates and well-established scientists are encouraged to apply. PARC specializes 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 psychological modeling and profiling is a plus
+ Experience with mobile platforms (iOS, android development) is a plus
+ Experience with large scale data analysis platforms such as Hadoop is a plus
The salaries we offer are competitive and will depend upon the candidate's experience. We also offer great benefits and a stimulating and friendly working atmosphere in the heart of Silicon Valley, California.
You can find more information about the focus area here:
To apply, please go to:
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