Some of the research challenges we investigate include: what are the characteristics of an effective service solution? how to measure the quality of a service solution being proposed? how and what can be learned from prior service engagements to improve the quality of future service solutions? How to identify the factors that influence the win outcomes and conduct win prediction analysis? What are the root causes for inefficiencies in a service solution lifecycle management? How to identify similar service solutions? Which service solution sets are candidates for ‘service products’? Etc. We are at the cutting edge of framing problems and defining solutions in the emerging area of Service Science. Answering these questions require multi-disciplinary expertise. Our current projects require expertise in data mining, and statistical machine learning topics. Our team constitutes of people who have expertise in business process management, decision support systems, text analysis, statistical machine learning, simulations and complex software systems engineering. Our team members have won multiple best paper awards from prestigious conferences and journals such as INFORMS and Decision Sciences Journal in the past. We are looking for motivated, self-driven, Ph.D candidates with deep subject matter expertise in data mining, statistical machine learning areas of Computer Science or related fields from top Universities. Multi-disciplinary candidates are also welcome to apply. Interested candidates can send their resumes to: Rama Akkiraju at akkiraju@us.ibm.com by February 28 2013.
Required Qualifications
Bachelor's Degree in Computer Science or related field and working toward Ph.D degree
At least 2 years experience in data mining, statistical machine learning techniques
At least 1 year experience in Statistical tools such as SPSS, R, etc.
At least 2 years experience in Java
English: Fluent
Preferred
Master's Degree in Computer Science or related field and working toward Ph.D degree
Contact: Rama Akkiraju
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Qi He, Ph.D.
Research Staff Member
D3 246, IBM Almaden Research Center
650 Harry Road
San Jose, CA 95120
Phone: (408)-927-1871
Fax: (408)-927-2457
Email: heq@us.ibm.com
Homepage: http://researcher.ibm.com/
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