Lecturer - Data Analytics/Data Analytics Education

University of Maryland, College Park
Maryland, United States
Competitive Salary
Posted date
Sep 24, 2021

View more

Position Type
Faculty Positions, Education, Other Education, Professional Fields, Library & Information Sciences, Science, Technology & Mathematics, Other Science & Technology
Employment Level
Non-Tenured Track
Employment Type
Full Time

UMD’s iSchool seeks a candidate who will build upon the iSchool’s record of educating information scientists committed to leadership, service, research, and innovative practice and impact in the field. We encourage candidates to demonstrate how their research contributes toward social justice and equity, diversity and inclusion, or ethical access to information.

Founded more than 50 years ago with a specific commitment to advancing social justice, the iSchool enrolls over 1,700 students in five degree programs: Ph.D. in Information Studies, Master of Library and Information Science (MLIS), Master of Information Management (MIM), Master of Science in Human Computer Interaction (HCIM), and Bachelor of Science in Information Science (InfoSci). Faculty members across these programs take advantage of our interdisciplinary environment through their teaching and collaborative research. These programs are offered in the classroom at College Park and Shady Grove campuses, online, and in blended formats.

The College of Information Studies at the University of Maryland, College Park (Maryland’s iSchool), invites applications for a full-time, professional track lecturer, who is highly competent, energetic, collegial, and flexible, to join our exciting environment. The Lecturer will both teach and develop new curricula in the area of data analytics. The successful candidate will teach three courses per semester (fall and spring) while also working on development of new courses, programs, and curricula in this area. Teaching load may be reduced during periods of substantial curriculum development work.  

Some of the existing classes the successful candidate might teach include:

  • Statistics for Information Science
  • Data Sources and Manipulation
  • Introduction to Data Science
  • Advanced Data Science
  • Game, Entertainment, and Media Analytics
  • IoT and Streaming Analytics

Some of the projects the successful candidate will work on include:

  • Development of a new masters-level program in data science 
  • Development of a new course on data science for global health
  • Development of a new course on data science for arts management
  • Development of a new course on data-driven reasoning

The successful candidate will teach at the undergraduate and graduate levels, engage in service to the profession and shared governance within the university, and participate actively in the life of the college.

Minimum Qualifications:

  • Graduate degree in information science, information studies, information systems, data science, data analytics, statistics, mathematics, sociology, business, or a related area
  • Teaching, training, and/or mentoring experience related to data analytics
  • Interest and experience in teaching and mentoring to increase diversity and inclusion in information studies and related fields
  • Excellent written and oral communication skills

Preferred Qualifications

  • PhD in the areas described above
  • Experience teaching data analytics at the university level
  • Experience developing courses and curricula at the university level
  • Experience with higher education student services (advising, enrollment and registration, etc.)
  • Interest and experience in teaching topical areas within data science/analytics that support data-driven racial, gender, social, and economic equity, justice, and inclusion
  • Research or professional experience related to the college’s academic programs

To apply, you will need to provide:

  • A letter of interest that clearly describes your background and expertise in the area, as well as the unique contributions you would make to the iSchool and the University of Maryland
  • A curriculum vitae
  • A list of 3 professional references
  • For each reference, include the person’s title, institution, contact information (including phone number and e-mail address), the capacity in which you know (or have known) them, and how long you have known them
  • A portfolio of the candidate’s past data analytics education, training and/or mentoring activities, appropriate to the applicant's career stage, which includes a statement of teaching philosophy
  • A diversity statement, which describes how the candidate’s values, past experiences, and future plans will contribute to a culture of inclusion and campus diversity

To apply please use the UMD ejobs link: https://ejobs.umd.edu/postings/87888 

Best Consideration Date: October 8, 2021 

Get job alerts

Create a job alert and receive personalised job recommendations straight to your inbox.

Create alert

Similar Jobs