Professor of Practice in Data - Louisiana, United States - Tulane University

Description

Professor of Practice in Data

Location:
Uptown Campus, Tulane University, New Orleans, LA
Open Date:
Oct 1, 2023
Description:

The Connolly Alexander Institute for Data Science (CAIDS) seeks to hire a Professor of Practice in Data, who will teach multi-disciplinary courses in data literacy, presentation, management, or analysis. CAIDS is a new Institute at Tulane University that promotes, teaches, and supports data literacy and data science, for students, faculty, and with the broader community. CAIDS programming will include courses, workshops, grants, academic programming, and events on data literacy, analysis, or management. For more information on CAIDS, see

This position has a teaching load of two courses per semester (i.e., a 2/2), which is the same teaching load as most tenure-track faculty at Tulane University. The PoP would be expected to teach DATA 1010 "Introduction to Data". This course seeks to be accessible to students of all backgrounds and abilities and will teach them fundamental skills in data literacy, analysis, and presentation. The Professor of Practice will also develop and teach one or two multi-disciplinary courses in data analysis, presentation, or management in their areas of interest or expertise. We are particularly interested in courses on AI, which could include e.g., an introductory course on how to use AI tools or a course on AI and society.

In addition to teaching, the Professors of Practice will develop and facilitate a few co-curricular experiences each semester, such as workshops or events (e.g., "Data Week", Hack-a-Thon) for students, faculty, or community partners. The Professor of Practice will also have a role in helping direct and manage the focus and trajectory of CAIDS as active and key partners. Conducting research is not a requirement for the Professor of Practice position, but data-related research or scholarship on teaching and learning can take the place of some service work, especially for junior faculty who are trying to publish research stemming from their dissertation.

Qualifications:

Required Education and Experience

A Ph.D. in a field of study that relates to data* and teaching experience as an instructor or teaching experience in a data-focused course; OR

A Master's degree in a field of study that relates to data,* with at least five (5) years of combined experience teaching in higher or secondary education and/or working in industry or government in a data literacy, data analysis, or data management position.
Preference will be given to those with backgrounds in AI, business, computer science, STEM, GIS, and public health.

*Related fields are those that conduct data analysis or management, which includes, but is not limited to, statistics (preferably applied), quantitative social sciences (e.g., economics, sociology, political science, psychology, public or business administration, empirical legal studies), geography and related fields that use GIS (geographic information systems), computer science, public health or medicine, humanities with a data focus (e.g., digital humanities), education with a data focus, and numerous STEM fields. Those with a background in qualitative research methodology will also be considered so long as they are able to teach basic quantitative methods in addition to qualitative methods.

Required Knowledge, Skills, Abilities/Competencies Typically needed to Perform This Job Successfully:

1. Demonstrated ability to teach in post-secondary institutions.
2. Ability to initiate and manage programming and initiatives, often with minimal supervision.
3. Ability to develop creative and practical higher education co-curricular programming such as workshops, Hack-a-Thons, and service-learning opportunities.
4. Proficiency with some statistical software, statistical data analysis, or data management software or tools, such as, but not limited to, R, GIS, or Python.
5. Ability and desire for continuous improvement and learning management best practices or learning about data literacy, data management, or data analysis.
6. Demonstrated ability to interact well with diverse groups of people, including students of different backgrounds (broadly defined), university leadership, staff, and faculty.
7. Excellent written and oral communication skills.
   Preferred Qualifications
   
   1. Applicants with experience in AI will be given preferential consideration.
   2. Applicants with experience in GIS, especially those with experience teaching GIS to beginners.
   3. Experience teaching a post-secondary course as an instructor.
   4. Teaching experience at the post-secondary level in data-focused courses.
   5. Teaching training, such as courses or workshops on teaching.
   6. Experience in running post-secondary co-curricular programming such as workshops and events.
   7. Ability to develop industry or community relationships that lead to service-learning opportunities or community partnerships.
   8. A focus on engaging diverse populations (broadly defined) in data literacy.
      Application Instructions:
      
      Candidates must submit an application via Interfolio to be considered for the position. Applications will be reviewed as received. Those submitted by December 19, 2022 will receive full consideration.
      
      REQUIRED APPLICATION MATERIALS:
      
   9. Cover letter
   10. Current C.V.
   11. Teaching statement/philosophy
   12. Diversity/EDI statement
   13. Contact information for 3 references
       The cover letter and/or teaching statement should address the candidate's interest and experience in teaching introductory and intermediate courses on data literacy, data analysis, or data management. Additional documents may be requested at a later date.
       
       For more information about the position, please contact us at
       
       Equal Employment Opportunity Statement:
       
       Tulane University is located in New Orleans - a city with tremendous history of diverse cultures, community, and languages. Tulane University is committed to creating a community and culture that foster a sense of belonging for all. We are a recognized employer and educator valuing AA/EEO, Protected Veterans, and Individuals with Disabilities. We encourage all qualified candidates to apply. We are intentionally seeking candidates who are committed to fostering equity, diversity, and inclusion in support of Tulane's Strategy for Tomorrow.
       
       Tulane University is responsible for providing reasonable accommodations to individuals with disabilities throughout the applicant screening process. If you need assistance in completing this application or during any phase of the interview process, please contact the Office of Human Resources & Institutional Equity by phone at or email