Part-Time Lecturer Information Retrieval Online

Part-Time Lecturer Information Retrieval Online

About Northeastern:
Founded in 1898, Northeastern is a global research university and the recognized leader in experience-driven lifelong learning. Our world-renowned experiential approach empowers our students, faculty, alumni, and partners to create impact far beyond the confines of discipline, degree, and campus.

Our locations—in Boston; Charlotte, North Carolina; London; Portland, Maine; San Francisco; Seattle; Silicon Valley; Toronto; Vancouver; and the Massachusetts communities of Burlington and Nahant—are nodes in our growing global university system. Through this network, we expand opportunities for flexible, student-centered learning and collaborative, solutions-focused research.

Northeastern's comprehensive array of undergraduate and graduate programs— in a variety of on-campus and online formats—lead to degrees through the doctorate in nine colleges and schools. Among these, we offer more than 195 multi-discipline majors and degrees designed to prepare students for purposeful lives and careers.

About the Opportunity:
The Khoury College of Computer Sciences invites applications for the position of Part-Time online development and teaching faculty. We are looking to begin course development during the Spring/Summer of 2022. Salary is competitive and additional teaching opportunities are available. For more information about the college, please https://www.khoury.northeastern.edu/

Responsibilities:
Primary responsibilities will be developing/teaching an online course in the area of information retrieval.

Qualifications:
Master's degree with industry experience required; Ph.D. in computer science or related fields preferred.

Salary Grade:
PT FAC

Additional Information:
The course provides an introduction to information retrieval systems and different approaches to information retrieval. Topics covered include evaluation of information retrieval systems; retrieval, language, and indexing models; file organization; compression; relevance feedback; clustering; distributed retrieval and metasearch; probabilistic approaches to information retrieval; web retrieval; filtering and recommendation systems; cross-language IR; multimedia IR; and machine learning for information retrieval.

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.



To apply, visit https://careers.pageuppeople.com/879/cw/en-us/job/501988

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