ASA Connect

The Georgetown University Graduate Analytics Program invites applications for a full-time non-tenure line position for an assistant teaching professor, starting in the fall of 2019. 

Here is an excerpt of the job posting. A complete job ad with more detail may be found here:  

https://chroniclevitae.com/jobs/0000446308-01

The successful candidate will teach three graduate-level courses per semester (Fall and Spring) and will participate in administrative tasks, such as admissions and advising.

The three-year term for this academic appointment is August 1, 2019 to May 31, 2022.  

The Analytics Program offers a Master of Science Degree in Analytics with a concentration in Data Sciences. With its location in Washington, D.C., Georgetown University provides opportunities to connect with government agencies as well as high-tech industries. The Analytics Program maintains considerable and continuous relationships with local and non-local companies, offers regular seminars and career fairs, and promotes a strong sense of community among faculty and students.

Georgetown attracts some of the very best students in the country and the world. The Georgetown University Graduate Analytics Program provides students with rigorous training in computational, mathematical, and statistical methods to prepare them for careers in data science and analytics.

Qualifications

• Candidates must possess a PhD in Computer Science, Mathematics, Statistics, or a related field, or must have completed all requirements for the PhD degree by August 1, 2019. 
• Candidates must have strong programming skills, especially in R and Python3, and knowledge and experience with data science and analytics, data structures and algorithms, data visualization, massive data, and statistical and machine learning.
• Candidates must possess both teaching experience and a clear interest in working with and advising students.
• Experience with curriculum planning and student advising is preferred.
• Preference may be given to applicants who possess a strong massive data background (Big Data management such as Spark, Hadoop, MapReduce, etc.) as well as a strong background in data visualization.