Open Rank Professor of Data Science, General Faculty

Key Skills

Cloud computing, Software Development, Data Architecture, Distributed systems

Job Description

The School of Data Science at the University of Virginia seeks applicants for multiple Open Rank Professors of Data Science to join as Academic General Faculty (teaching faculty). The school is assembling a diverse and world-class faculty with broad expertise in data science. We are seeking candidates with a pioneering spirit, who have methodologic expertise or applied experience in one or more domains of data science. Examples include, but are not limited to, Analytics (e.g., prediction modeling, machine learning, imaging, computer vision, algorithm development, statistical methods), Data Structures & Informatics (e.g., data architecture and pipelines, database theory, bioinformatics), Data Systems (e.g., high performance computing, distributed systems, software development, tool deployment, cloud architectures), Data Communication (e.g., visualization, human-computer interaction, interpretation) and Data Policy & Ethics (e.g., representativeness, privacy, ethics of algorithmic construction and deployment). Candidates with diverse backgrounds and broad methodological expertise or industry experience in data science are especially encouraged to apply. A commitment to diversity, equity, and inclusion in data science education and research 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 though the proper collection and use of data, and though the development of novel data methodologies and impactful applications. Faculty duties include research, teaching (in-person and online), mentoring, advising students, and service to the university and the discipline. Faculty will have the opportunity to help shape the culture of a new school, develop modern pedagogy, and grow the discipline of data science in national and international forums.

Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field (e.g., STEM, social science or humanities degree with a Data Science focus) by August 2022 or appointment start date. 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 for Academic General Faculty positions 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- and 12-month contracts.

TO APPLY:

Complete an application online and attach:

• Curriculum Vitae or Resume
• Cover Letter that addresses your experience and qualification for this position and your interest in data science.
• A teaching and research statement that describes your teaching and mentoring philosophy, and your past research endeavors and contributions. Most of this statement should be focused on educational activities and how you see data science education evolving over the next decade. Please explain, where applicable, the impact of your work or career in fostering diversity, equity, and inclusion in teaching and mentoring roles.
• Contact information for 3 references (prior to appointment three recommendation letters will be required)
• If available, reviews & course evaluations from up to 3 past courses/seminars/short-courses.