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PT Lecturer Data Management

Below you will find the details for the position including any supplementary documentation and questions you should review before applying for the opening.  To apply for the job, please click the Apply for this Job link.

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Northeastern University Employee Benefits

Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law. Northeastern University is an E-Verify Employer.

Posting Details

Position Information

Position Title PT Lecturer Data Management
Requisition Number PTFR000401
Division/College College of Computer and Information Science
Interdisciplinary Division/College
Location Online
Full-Time/Part-Time Part Time
Benefits Eligible
Posting Date 11/08/2017
Responsibilities

The College of Computer and Information Science invites applications for the position of Part-Time online teaching faculty. Primary responsibilities will be teaching an online course in the area of data analytics- introduction to data management and data mining/machine learning. We are looking for teaching during the spring semester of 2018. Salary is competitive and additional teaching opportunities are available. For more information about the program, please visit http://www.northeastern.edu/datascience/

Qualifications

Candidates must have an MS degree in a related field. PhD and teaching experience strongly preferred.

Additional Information

The course studies how to build large-scale information repositories of different types of information objects so that they can be selected, retrieved, and transformed for analytics and discovery, including statistical analysis. Analyzes how traditional approaches to data storage can be applied alongside modern approaches that use nonrelational data structures. Through case studies, readings on background theory, and hands-on experimentation, offers students an opportunity to learn how to select, plan, and implement storage, search, and retrieval components of large-scale structured and unstructured information repositories. Emphasizes how to assess and recommend efficient and effective large-scale information storage and retrieval components that provide data scientists with properly structured, accurate, and reliable access to information needed for investigation.

For the PT Lecturer position on Data Mining, please refer to REQ# PTFR000400

Documents Needed to Apply

Required Documents
  1. Curriculum Vitae
  2. Cover Letter
Optional Documents
  1. References
  2. Letter of Recommendation 1
  3. Letter of Recommendation 2
  4. Letter of Recommendation 3

Posting Specific Questions

Required fields are indicated with an asterisk (*).