PostDoc position at Bosch Research
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Soundararajan Srinivasan
Jul 6, 2010, 1:11:15 AM7/6/10
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Bosch Research and Technology Center, Palo Alto, CA
Bosch is known worldwide for developing and manufacturing the best in automotive technology, power tools, major home appliances, security technology and telehealth technology. The Bosch Group has a strong presence in North America with over 75 locations and more than 25,000 associates. Worldwide, Bosch has 250,000 associates and operates its own facilities for semiconductor manufacturing. Bosch is a global leader in the market for integrated sensors.
Established in 1999, the Bosch Research and Technology Center (RTC) in North America has sites in Palo Alto, CA and Pittsburgh, PA. Our research teams work in the areas of sensor interfaces, integrated circuits, MEMS systems and technology, new powertrain concepts, communication systems for automotive and industrial applications, human-machine-interaction, data mining, software engineering and software intensive multi sensor / multi data source systems.
The data mining group at Bosch Research in Palo Alto, California is looking for a bright Ph.D. graduate to join us as a post-doc researcher for a 1 year contract. We offer competitive annual salary and full medical benefits. The position is available immediately. The candidate must have work permission to work inside US. We can apply for H1B visa later for a continuing post-doc researcher.
Bosch is known worldwide for developing and manufacturing the best in automotive technology, power tools, major home appliances, security technology and telehealth technology. The Bosch Group has a strong presence in North America with over 75 locations and more than 25,000 associates. Worldwide, Bosch has 250,000 associates and operates its own facilities for semiconductor manufacturing. Bosch is a global leader in the market for integrated sensors.
Established in 1999, the Bosch Research and Technology Center (RTC) in North America has sites in Palo Alto, CA and Pittsburgh, PA. Our research teams work in the areas of sensor interfaces, integrated circuits, MEMS systems and technology, new powertrain concepts, communication systems for automotive and industrial applications, human-machine-interaction, data mining, software engineering and software intensive multi sensor / multi data source systems.
The data mining group at Bosch Research in Palo Alto, California is looking for a bright Ph.D. graduate to join us as a post-doc researcher for a 1 year contract. We offer competitive annual salary and full medical benefits. The position is available immediately. The candidate must have work permission to work inside US. We can apply for H1B visa later for a continuing post-doc researcher.
Responsibilities
Develop and apply advanced statistical methodology for analyzing sparse, and high-dimensional healthcare data.
Build on multivariate data-mining/machine-learning theory and methods for automatically inducing patient characteristics and disease progression from their medical records.
Develop and apply scalable and practical inference techniques for real-time analysis of patient health records.
Develop methods for handling incomplete data in clinical studies.
Employ aforementioned methods on large-scale clinical and survey data available at Bosch RTC to discover hidden patterns in patient health records for use in disease management and identify clinical decision rules for use in intention-to-treat epidemiology.
Work with the research group to identify and apply for relevant publicly funded research opportunities.
Publish in leading conferences and journals.
Qualifications
Ph.D. in Computer Science, Statistics, Mathematics, or related fields
Demonstrated expertise in machine learning, data mining, and analysis of experiments
Strong programming experience in C++ (STL)/Java,
Experience with one or more of the following: Matlab/SAS/S-PLUS/R, SQL, and Python/Ruby/Perl.
Working knowledge in high-performance/distributed computing (MPI, MapReduce) is a plus.
Start date: ASAP; no later than Oct. 1, 2010
To Apply:
Email a cover letter and your CV to 45501-...@boschresearch.hrmdirect.com or apply online at www.boschresearch.com
Develop and apply advanced statistical methodology for analyzing sparse, and high-dimensional healthcare data.
Build on multivariate data-mining/machine-learning theory and methods for automatically inducing patient characteristics and disease progression from their medical records.
Develop and apply scalable and practical inference techniques for real-time analysis of patient health records.
Develop methods for handling incomplete data in clinical studies.
Employ aforementioned methods on large-scale clinical and survey data available at Bosch RTC to discover hidden patterns in patient health records for use in disease management and identify clinical decision rules for use in intention-to-treat epidemiology.
Work with the research group to identify and apply for relevant publicly funded research opportunities.
Publish in leading conferences and journals.
Qualifications
Ph.D. in Computer Science, Statistics, Mathematics, or related fields
Demonstrated expertise in machine learning, data mining, and analysis of experiments
Strong programming experience in C++ (STL)/Java,
Experience with one or more of the following: Matlab/SAS/S-PLUS/R, SQL, and Python/Ruby/Perl.
Working knowledge in high-performance/distributed computing (MPI, MapReduce) is a plus.
Start date: ASAP; no later than Oct. 1, 2010
To Apply:
Email a cover letter and your CV to 45501-...@boschresearch.hrmdirect.com or apply online at www.boschresearch.com
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