Assistant/Associate Teaching Faculty

Charlotte, NC

Applications have closed
University of North Carolina at Charlotte logo

University of North Carolina at Charlotte

UNC Charlotte, North Carolina's urban research university, fuels American innovation in everything from resilient and sustainable architecture and environmental systems, epidemiological modeling and sustainable energy, shaping the future of...

Assistant/Associate Teaching Faculty

 

Primary Purpose of Department     

The School of Data Science [SDS] at UNC Charlotte is an interdisciplinary unit that is supported by the Academic Affairs’ Office of the Provost, the College of Computing and Informatics, the Belk College of Business, the College of Health and Human Services, the College of Liberal Arts and Sciences, the William States Lee College of Engineering, as well as other academic units. SDS oversees two graduate programs in Health Informatics and Analytics [HIA] and Data Science and Business Analytics [DSBA] with over 300 students enrolled. A new undergraduate degree was launched in Spring 2021 and has quickly grown to nearly 100 majors. A Ph.D. program is in the planning stage. The vision of the School of Data Science is to become a leader in ethically grounded, interdisciplinary data science and artificial intelligence research and education that serves our diverse local and global community. SDS is highly engaged with industry through our Industry Advisory Board and our annual analytics conferences.

 

Vacancy Open to All Candidates

 

Description of Work           

The University of North Carolina at Charlotte recognizes the differentiation of mission, goals, and objectives inherent in the diversity of disciplines represented by its colleges and departments. Thus, the Job Responsibilities and Essential Functions for Non-Tenure Track Faculty should be interpreted in the context of the related departmental and collegiate teaching goals.

 

Teaching – Faculty responsibilities and essential functions with respect to teaching may include but are not limited to: subject matter competence, course design, course presentation, and grading student work.

 

Essential Duties and Responsibilities              

  • This position will be expected to primarily teach undergraduate and graduate courses in the School of Data Science including studio-based data science courses. These studio courses are taught with two or more instructors and often include one with expertise in computing and statistics and others with expertise in social science. This position also conducts research in their fields of expertise and participates in academic service and interdisciplinary activities.
  • Priority is given to applicants with a focus on data science including data science education, applied AI, data mining, computer vision, ethics of AI, sports analytics, or health informatics. The ideal candidate would demonstrate expertise in cross-disciplinary and data-oriented areas as mentioned above, have a track record of publications, as well as have the ability or potential to procure competitive external funding. This position will create bridges between data science, social sciences, and humanities.
  • The UNC Charlotte School of Data Science offers primarily in-person instruction for its undergraduate and graduate programs. As such, it is expected that all faculty will teach face-to-face and will maintain regular in-person office hours for purposes of student advising and assistance.

 

Minimum Experience/Education    

  • UNC Charlotte gives primary consideration to the earned Master’s and/or terminal degree in the teaching discipline or a related discipline.

 

Preferred Education, Skills and Experience  

  • Ph.D. in a field related to data science.
  • Experience in teaching data science, statistics, and/or computer science; knowledge and experience in statistical and data mining techniques.
  • Experience with querying databases and using statistical computer languages: NoSQL, Python, R, SQL, and other related languages.
  • Experience with course design and course presentation and experience visualizing/presenting data for stakeholders.
  • Experience analyzing data with third-party cloud providers.
  • Ability and willingness to contribute to diversity initiatives of the unit, department, college, and university.
  • Evidence of publication of material related to use of data mining techniques in the professional or service setting; demonstrated commitment to quality teaching at both the undergraduate and graduate levels.

 

Special Notes to Applicants               

The University of North Carolina at Charlotte is currently operating in-person at full capacity, so selected finalists should expect to travel to campus for an in-person interview and to follow University safety and social-distancing guidelines while on campus [go to https://ninernationcares.charlotte.edu/faculty-staff]. Charlotte’s policies related to COVID-19 are informed by the recommendations of experts from the Centers for Disease Control, the American College Health Association, OSHA, and local and state public health officials.

 

https://jobs.charlotte.edu/postings/38644

 

As an EOE/AA employer and an ADVANCE institution that strives to create an academic climate in which the dignity of all individuals is respected and maintained, the University of North Carolina at Charlotte encourages applications from all underrepresented groups. The department and college strongly support student and faculty diversity that includes, but is not limited to, ability/disability, age, culture, ethnicity, gender identity, language, race, religion, sex, sexual orientation, and socio-economic status.

Job perks/benefits: Conferences
Job region: North America
Job country: United States
Job stats:  120  5  1

Explore more AI/ML/Data Science career opportunities

Find open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general, filtered by job title or popular skill, toolset and products used.