Open Rank Tenure/ Tenure-Track - Data Analytics at Scale
Job location: Charlottesville, VA
Employment Type: Full-time
Posted data: 2020-12-18
The University of Virginia (UVA) seeks applicants for two tenured or tenure-track faculty positions under a “Data Analytics at Scale” cluster hire, in the School of Engineering and Applied Science, the School of Data Science, or with a joint appointment. These positions are expected to commence in August 2021.
Many organizations and research laboratories now collect massive amounts of data. However, most of them are not yet able to extract sufficient meaning and actionable information from their data. For this reason, organizations large and small have turned to cloud-scale computing. This requires a combination of advanced analytics, data driven decision making, and large-scale cloud-computing applied to cutting-edge problems facing a wide range of domains. Data science working “at scale” explores the policy and ethical questions relevant to organizations looking to successfully extract knowledge from massive data sets, at large volumes, with high velocities, and with an appropriate balance between privacy and utility. Effective analysis of organizationally relevant, large-scale data sets in cloud environments to solve real-world problems is an outstanding opportunity for high-impact research and education. In particular, cloud computing has become essential for both cutting edge research and for the operations of organizations both big and small. Extant computing challenges mean research opportunities in cloud systems for data management, including new software mechanisms to better coordinate processing and data-distribution across geographically distributed services, distributed databases and cloud-friendly database semantics, and fundamental advances in data science methods and data visualization for datasets that can only be processed at cloud scales. Data analytics at scale also poses important social and public policy research questions concerning new safety and ethical policies, pursued in close collaboration with technologists, users, and policy experts.
The UVA School of Engineering and Applied Science was founded 1836 as the first engineering school in the south and the fourth university-level engineering school in the nation. With its mission is to make the world a better place by creating and disseminating knowledge and by preparing engineering leaders to solve global challenges, UVA Engineering is a field leader in seizing opportunities to benefit humanity through bold research and world-class education.
The UVA School of Data Science – UVA’s 12th school and the first established since 2007 – will position the University as a global leader in efforts to improve society through teaching and research based on the powerful, emerging field of data science. It builds on a foundation set in place at UVA by the Data Science Institute (DSI), a pan-University institute established in 2013 that grants graduate degrees and has a dual mission in education and research. The School of Data Science is developing new undergraduate, doctoral, and certificate programs, helping to meet soaring demand for qualified data science professionals in a field that plays a key role in the global information-based economy.
Thus, the UVA School of Data Science and School of Engineering and Applied Science are actively seeking strong faculty candidates who will excel in research, teaching and service in one or more of the following areas:
1. Large Scale Algorithms for Data Analytics: Foundational machine learning, statistics, operations research, unstructured data, social and digital media, game theory, mechanism design, and learning theory.
2. Cloud Scale Data Intensive Applications: Infrastructure design, data management and supporting architectures, dynamic resource allocation and scheduling, design of hybrid cloud architectures, hybrid mobile/cloud computing, and collaborative methods for cloud federations.
3. Human Computer Interaction and Social Issues in Cloud Computing: Transparency, interpretability, accountability, privacy, fairness, and safety of machine learning and data analytics. We will be particularly interested in hires doing research in these areas for data at scale, where deficient designs, bad behavior, and poor policies can expose enterprises to serious and possibly catastrophic outcomes.
4. Large Scale Engineering System Design Driven by Data Analytics: Next-generation design and modeling of modern computer engineering systems which use machine-based learning over massive data sets to augment traditional approaches that rely on human experience, first-principles, and physics-based generation of features.
Candidates must have earned or be on track to earn a PhD in Engineering, Computer Science, Data Science, or a closely related field. Candidates must have a record of excellence in research in applications of data science such as those above to problems in appropriate domain(s), as appropriate for the candidate’s rank. A demonstrated commitment to teaching excellence is required. Evidence of an explicit commitment and activities promoting diversity and advancing understanding and outcomes for underrepresented groups is essential. Appointment with tenure requires documented excellence in research and teaching and a proven national reputation. Faculty rank will be dependent on academic qualifications and years of experience.
Appointments in the School of Engineering and Applied Science and/or the School of Data Science, with the potential for joint or courtesy appointments, as appropriate, in various UVA Schools and Departments, are all possibilities. Duties will include conducting primary research, teaching, mentoring and advising students, and service to the school and university. In addition to their home unit(s), the new faculty members are strongly encouraged to foster collaborations with faculty and students in science programs in the UVA College of Arts and Sciences, the School of Medicine, and other UVA Schools.
The “At Scale” hires will have full access to the UVA advanced computing infrastructure, virtual and distributed computing, and AWS/Azure cloud resources. This means these hires will have the infrastructure for success from the time they arrive. More broadly these hires will become part of a distinctive pan-University community focused on computation, data analytics, system design, and data stewardship, anchored jointly between the School of Engineering and Applied Science and the School of Data Science. This community provides the ability to leverage activities in data science across all the schools and this new cluster will both benefit from this community and contribute to it. These hires will also be able to benefit from activities already established in Engineering, such as the Center for Visual and Decision Informatics and the Link Lab.
PROCESS FOR EXTERNAL APPLICANTS: Applications are welcomed and encouraged for consideration in these open UVA SDS positions. Please visit UVA job board https://uva.wd1.myworkdayjobs.com/UVAJobs, “R0020710” complete the application and see below for documents to attach. Please note that multiple documents can be uploaded in the box or you can combine them into one PDF.
PROCESS FOR INTERNAL UVA APPLICANTS: UVA-based internal candidates (doctoral candidates, post-doctoral fellows, etc) are also welcomed to submit their materials. Please apply through your UVA Workday Home page, search “Find Jobs”, and search for “R0020710". Complete an application online and see below for documents to attach.
ALL application materials MUST be submitted in the CV/Resume Box
Complete an application online and attach:
• Full academic CV
• Cover letter
• Contact information for 3 references
• Research statement
• Teaching statement (including a summary of course evaluations where applicable)
• Diversity statement (provide examples of experience and/or describe plans to make meaningful contributions)
*** To receive full consideration applicants should submit all of the above documents ***
Review of applicants will begin Jan 23, 2021 and the positions will remain open until filled.
For questions about this position please contact John Van Horn at email@example.com.
For questions about the application process please contact Rhiannon O’Coin, Senior Recruiter at firstname.lastname@example.org.
The selected candidate will be required to complete a background check at time of offer per University Policy.
The University of Virginia assists UVA faculty spouses and partners seeking employment in the Charlottesville area. To learn more about these services, please see http://provost.virginia.edu/dual-career.
The University of Virginia, including 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.