Academic General Faculty (Practice Track) in Data Science (Part-Time)

The School of Data Science at the University of Virginia seeks applicants for part-time Professors of Practice in Data Science to join as Academic General Faculty (Practice Track). The school is assembling a diverse and world-class faculty with broad expertise in data science. We are seeking candidates with extensive real-world and industry experience in one or more domains of data science. Successful candidates are able to integrate their professional experience with the academic mission of the School through a combination of teaching, mentoring, scholarship, and service activities. Candidates should detail their methodologic expertise as it pertains to the domains of data science.

The domains of data science include, but are not limited to,

• Data Ethics, Critical Data Studies & Policy (e.g., representativeness, privacy, ethics of algorithmic construction, interpretability)
  
• Data Design (e.g., visualization, human-computer interaction, communication)
  
• Analytics (e.g., predictive modeling, machine learning, imaging, computer vision, algorithm development, statistical methods)
  
• Data Structures (e.g., data architecture and pipelines, database theory)
  
• Informatics (e.g., graph theory, information systems, bioinformatics)
  
• Data Systems (e.g., high performance computing, continuous integration and deployment (CI/CD) of data science tools, cloud architectures, federated learning, data sharing).
  

Candidates with backgrounds and experiences that are underrepresented in data science are strongly encouraged to apply. A commitment to diversity, equity, and inclusion in data science is essential for all candidates.

The School of Data Science at UVA was established in 2019 with the largest private gift in the institution’s 200-year history. The School seeks to set the standard in data-centered practice to harness the power of data to better humanity through the proper collection, analysis, and dissemination of data in research and teaching.

Practice faculty duties include teaching (in-person and online), advising undergraduate students, and service to the university and the discipline. Practice faculty will have the opportunity to help shape the culture of a new school, develop modern pedagogy and establish new educational programs using experiential and project-based learning courses.

Candidates must have a Master’s or terminal degree in Data Science or a related field (e.g., STEM, social science or humanities degree with a Data Science focus). Equivalent experience can be considered in lieu of a degree. Evidence of excellence in integrating professional experience with educational activities in data science is requested. We especially encourage applications from individuals who are members of underrepresented groups, candidates engaged in educational activities with underserved populations, or candidates who have worked to broaden student access to data science careers.

Candidates must show a demonstrated commitment to, or potential for, excellence in data science education, advancing classroom paradigms for modern environments, and making advancements accessible to students of all backgrounds.

Rank will be commensurate with academic and industry experience. Appointments available on 9-month contracts.

TO APPLY (Practice Track):

Apply online at https://uva.wd1.myworkdayjobs.com/UVAJobs search for requisition R0040797. Internal applicants must apply through their UVA Workday profile. Complete the application, and upload the following Required materials:

• Curriculum Vitae or Resume
  
• Cover Letter that addresses your experience and qualification for this position and your interest in data science.
  
• A teaching statement that describes your teaching and mentoring philosophy and your relevant experience in the data science space. Please be sure to indicate which classes and topics that you would be comfortable teaching or developing. If applicable, please describe your past research endeavors and contributions as well as any future research goals.
  
• A diversity statement that summarizes your knowledge of, experience with, and interest in diversity, equity, and/or inclusion including issues of underrepresentation, ethics, bias, and/or disparity in data science. Please include issues of underrepresentation, ethics, bias, and/or disparity in data science, and draw a direct connection to your research and teaching activities where possible.
  
• Contact information for 3 references (prior to appointment three recommendation letters will be required)
  
• If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses.
  

Note: Application materials MUST be combined into a single file in the order listed above and uploaded to the Resume / CV box.

Review of applicants will begin on 10/27/2022 and the positions will remain open until filled.

For questions about the application process please contact Rhiannon O'Coin, Senior Academic Recruiter, rmo2r@virginia.edu

The selected candidate will be required to complete a background check at time of offer per University Policy.

For more information about UVA and the surrounding area, please visit http://uvacharge.virginia.edu/guide.html .

UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit http://provost.virginia.edu/dual-career .

COVID Vaccination Requirement and Guidelines

Please visitthe UVA COVID-19 Job Requirements and Guidelines webpageprior to applying for current information regarding vaccination requirementsandguidelines for employment at UVA.

The University of Virginia, i ncluding the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician’s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.