Part-Time Lecturer Information Retrieval Online

Location
Massachusetts, United States
Salary
Salary Not specified
Posted
Apr 01, 2021
Employment Level
Non-Tenured Track
Employment Type
Part Time


Part-Time Lecturer Information Retrieval Online

About Northeastern:
Founded in 1898, Northeastern is a global research university and a world leader in experiential learning. The same commitment to connecting with the world drives our use-inspired research enterprise. The university offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools. Our campuses in Charlotte, N.C., San Francisco, Seattle, and Toronto are regional platforms for undergraduate and graduate learning and collaborative research. Northeastern pursues advanced research in security and materials at the Innovation Campus in Burlington, Massachusetts, and in coastal sustainability at the Marine Science Center in Nahant, Massachusetts.

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 2021. Salary is competitive and additional teaching opportunities are available. For more information about the college, please visit 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 required; Ph.D. in Computer Science or related fields preferred. Previous teaching experience. Industry experience in the subject area is required. Course development or authoring experience is strongly preferred.


Preferred Qualifications:


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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