Jobs

Company Description:
Siemens Corporate Research's state-of-the-art thinking is powerfully linked to the corporate strength of Siemens operating companies. With over 25 years of research experience, we provide innovations and technical solutions that will shape and enhance the future of technology around the world. Siemens is an Equal Opportunity Employer encouraging diversity in the workplace.

Job Description:
The Semantic Analysis Group of Siemens Corporate Research, Princeton, NJ, has an opening for a Research Scientist in the area of semantic modeling and analysis. The ideal candidate will have a background in statistical learning, natural language processing, and ontological knowledge formalism technologies. In particular, candidates with experience in using machine learning techniques for semantic analysis of unstructured data in a range of applications such as data cleaning, clustering, summarization, question/answering and topic detection will be preferred. Familiarity with Semantic Web and knowledge representation are also expected.

In this position, you will be conducting leading-edge research and prototyping for industrial and medical applications.

We will only consider candidates holding a Ph.D. in Computer Science, Electrical Engineering or Applied Math with a strong, proven record in problem solving and research (leading journal and conference publications). The successful candidates will be expected to make significant research and development contributions to departmental projects, to assume an active role in ensuring the success of these projects, and to participate in team efforts. Candidates need to demonstrate strong interpersonal skills, have the ability to translate technology to business problem solving, and be willing to accept challenges and responsibilities.

Siemens Corporate Research is a leading industrial research center that offers a stimulating research environment and a rewarding career. We offer competitive salary and benefits package that reflect our leadership status.

Contact:
Please apply on-line here.