- Cover Letter
- Curriculum Vitae
- University Teaching Evaluations (optional)
- Three Reference Letters (to be submitted by the reference writers at this site
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| Position ID: | Georgetown-Master of Science in Analytics Program-ADJUNCT [#9331] |
| Position Title: | Adjunct Instructors in Graduate Data Analytics at Georgetown University |
| Position Type: | Non tenure-track faculty |
| Position Location: | Washington, District of Columbia 20057, United States [map] |
| Subject Area: | Data Analytics |
| Appl Deadline: | finished (posted 2017/07/07, finished 2018/07/08, listed until 2018/01/07) |
| Position Description: |
| Adjunct Instructors in Graduate Data Analytics at Georgetown University Position Description The MS Analytics program at Georgetown University is seeking part-time instructors to join our effort. We have opportunities to teach existing courses in collaboration with Georgetown professors, and to develop new curriculum independently. We are particularly interested in candidates with advanced degrees and industry experience in data science with emphasis in statistics and machine learning (including mathematical fundamentals, advanced algorithms, and special topics such as time series analysis, text processing, and computer vision), or emphasis in computer science (particularly cloud computing and software tools for parallel implementations, algorithm design, and database systems and software), and engineering and social application areas. Qualifications Applicants should have a Ph.D. degree in computer science, math or statistics, or a related field with experience in data science and prior university teaching experience. (We will consider applicants with an MS degree and very strong industry and teaching experience.) Applicants must be US citizens or permanent residents.
Submit a cover letter, complete CV, names of 3 references, and copies of university teaching evaluations (PLEASE SUBMIT AS ONE PDF FILE). Please mention AcademicJobsOnline when applying. Georgetown University is an Equal Opportunity, Affirmative Action employer fully dedicated to achieving a diverse faculty and staff. All qualified candidates are encouraged to apply and will receive consideration for employment without regard to race, sex, sexual orientation, age, religion, national origin, marital status, veteran status, disability or other categories protected by law. |
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