Two summer internship positions are available for Masters or Ph.D. students in the areas of machine learning and data mining.
Position in Palo Alto, CA The overall goal of the internship is to identify patients with the highest risk for hospitalizations. The main task will be to improve the robustness of a statistical model to missing features and qualitative inputs. Knowledge and Skills: Machine learning, data mining, pattern recognition. Previous experience with handling missing response data in the analysis of experiments a plus. To Apply: Email a cover letter (please indicate the dates that you will be available) and your CV to 64935-cs-1...@boschresearch.hrmdirect.com<mailto:64935-cs-1...@boschresearch.hrmdirect.com> Position in Pittsburgh, PA The goal of this internship is to develop a web-based visualization tool to improve traceability of changes to software, statistical models, and associated performance metrics. Responsibilities will include a wide array of tasks, including specification, design, implementation, testing, and deployment of a prototype. Knowledge and Skills: Proven expertise in the area of relational databases, especially with MySQL. Strong programming experience in PHP and Python. Familiarity with basic algorithms for supervised machine learning, cross-validation, boot-strapping, and performance metrics is desired. To Apply: Email a cover letter (please indicate the dates that you will be available) and your CV to 64936-cs-1...@boschresearch.hrmdirect.com<mailto:64936-cs-1...@boschresearch.hrmdirect.com> About Bosch Research and Technology Center, North America Intellectual Inspiration, Entrepreneurial Freedom, Global Opportunities. It's all yours with a career at Bosch. "Made by Bosch" stands for the first-class quality of a global player. The Bosch Research and Technology Center, with labs in Palo Alto, CA, Pittsburgh, PA, and Cambridge, MA focuses on innovative research and development for the next generation of Bosch products. The data mining team is developing advanced statistical and machine learning methods for application to patient health and electronic medical records. We are looking for highly qualified, motivated, and innovative individuals to join our team. We invite you to participate in Innovation for Life! Internships are expected to be at least 10-12 weeks long during the summer months. Previous internships in our group have led to successful publications and/or patents.
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