The Knowledge Engineering Services department is focused on developing technologies for efficiently acquiring, representing, retrieving, and delivering knowledge to individuals and organizations. We are creating new products and offerings based on advanced text analytics, machine learning, the Watson/Jeopardy! technology, and data mining techniques for delivering personalized education, for creating automated self-help systems for technical problem resolution and to improve the efficiency of IT services delivery. Candidates applying for this department should be proficient in one or more of the following areas: statistical data modelling, machine learning, text analytics, natural language processing, information extraction, information retrieval, data mining, etc.
We are currently looking to hire outstanding researchers in our group. Responsibilities of a researcher include conducting basic and applied research on a wide array of text and speech analytics projects. Resaerchers are expected to maintain strong academic credentials through publications, external collaborations, and service to the research community as well as contribute to IBM business units via well-motivated applied research.
Qualifications for Research Scientist :
PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, or related fields
Strong academic record with publications in top conferences and journals
Research experience in, and strong familiarity with KES focus areas (listed above; industrial research internships a plus.
Demonstrated ability to formulate and solve abstract problems derived from real-world applications.
Strong communication skills and ability to collaborate effectively in a team.
Excellent programming skills.
Candidates interested in learning more about the KES group and/or the interview process are invited to write to us. email: firstname.lastname@example.org
0 to 10 years of desired work experience required
IBM is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
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