Assistant Professor
Job description
About Us.
The Bio complexity Institute of the University of Virginia is seeking innovative and collaborative applicants for a tenure-track faculty position at the rank of assistant professor as part of the Contagion Science Program. This unique and novel research program is a prestigious strategic research initiative funded by the University through its Prominence-to-Preeminence STEM Targeted Initiatives Fund . The Biocomplexity Institute serves as the program’s organizing unit with a broad and comprehensive partnership of the University of Virginia Schools of Engineering and Applied Science (SEAS), Data Science (SDS), Medicine ( SOM ), and the College of Arts & Sciences ( A&S ). This initiative is designed to foster pan-university leadership and excellence in contagion science research and education.
For more information about the Contagion Science program and the Biocomplexity Institute please visit: https://contagion-science.virginia.edu and https://biocomplexity.virginia.edu .
The Role.
The new Contagion Science team member will contribute to the creation and promulgation of a research roadmap that leverages new and existing theoretical frameworks, concepts, and research ideas to address the interconnected nature of contagious phenomena, observed in computer sciences and related fields .
As a part of the Biocomplexity Institute , the faculty member will have a unique opportunity to explore the application of multidisciplinary data sciences , network systems modeling, computer science and engineering, machine learning or graph modeling and mining , interfacing with biological and health sciences, as well as social, behavioral, and economic sciences. Complementing individual research activity, incumbents will advance cross-disciplinary educational and training opportunities for diverse audiences, fostering an interest in and an increased understanding of mechanisms and characteristics underlying concepts of contagion.
This position will be made as a joint appointment between the Biocomplexity Institute, which will serve as the administrative home, and one of the participating schools or departments in the Contagion Science Program , which will serve as the tenure home. Potential appointments may be made in a variety of depar t ments, including but not limited to:
Systems and Information Engineering (SEAS)
Electrical and Computer Engineering (SEAS)
Computer Science (SEAS)
Mathematics (A&S)
Data Science (SDS)
Requirements.
A Ph.D. in a relevant computational field is required by the start date of the appointment. A commitment to teaching excellence is essential, as is evidence of an explicit commitment to diversity and of advancing understanding and outcomes for underrepresented groups. Successful candidates must have an emerging research portfolio in a computational field display and display a general interest in cross-cutting transdisciplinary research areas of relevance . Successful candidates will be expected to engage in funded research, teach at the undergraduate and graduate levels, and perform service for the institution and professional organizations.
Applicants with a respect for diversity and a passion for making a positive impact on the world in a collaborative environment are strongly encouraged to apply.
To Apply.
Please apply through Workday. Internal applicants must apply through their UVA Workday profile by searching ‘Find Jobs.’ Complete an application online with the following:
A cover letter conveying how the applicant’s research interest s interrelate to Contagion Science ; please also identify which disciplinary areas o r departments you would be intere s ted in holding an appointment in addition to BI
Curriculum vitae
Statement of teaching philosophy
Statement of research interest
Contact information for three references
Upload all materials into the resume submission field, multiple documents can be submitted into this one field. Alternatively, merge all documents into one PDF for submission. Applications that do not contain all required documents will not receive full consideration.
R eview of completed applications will continue until the positions are filled.
Benefits.
Location : The University of Virginia is annually ranked as one of the premier public institutions in the United States. The University is located in Charlottesville, VA a picturesque and vibrant small city perennially ranked as one of the best places to live in the U.S .
Flexible Workplace: BI offers a flexible hybrid workplace, providing a balance of in-person and remote work for each employee. Due to the collaborative nature of our work, team members are expected to be present and attend team meetings and other critical functions in person.
Time Off : In addition to 11-15 paid holidays depending on the calendar year, the flexible University Leave program offers employees 22- 30 days per year depending on years of service. UVA employees also receive the additional benefit of 16 hours of paid leave per year for public service to contribute to the community .
Parental Leave & Care : The Paid Parental Leave policy offers eight weeks of paid leave to employees who have been employed by UVA for 12 consecutive months. UVA also offers access to a backup care program for child and eldercare .
Pay: UVA provides market-based compensation that recognizes competitive starting pay, merit increases, promotional opportunities, rewards, and recognition.
Recognition : Our culture encourages care and recognition for one another. We aim to measure, improve, reward, and celebrate individuals and team performance.
Health: Our health plan options are designed to support a healthy lifestyle for you and your family. Multiple choices allow you to assess your medical needs and choose the best plan while achieving a balance of low premiums and maximum flexibility for health, vision, and dental.
Wellness: UVA cares about your good health. Our programs encompass tools to help you emotionally, physically, and financially.
Career Development: Our culture of lifelong learning promotes an education benefits program that provides tuition toward your next degree, academic certificate program, or relevant professional development expenses. We will support you in your current role and foster development throughout your lifelong career.
Retirement : Choose from excellent options as we partner to invest in your future. VRS offers a defined benefit + defined contribution plan, with UVA matching up to 3.5% for the Hybrid plan. Or choose ORP, a defined contribution plan based on tax-deferred accumulations. You contribute 5%, UVA contributes 8.9%
All roles within the institute are restricted positions and are dependent upon project need, availability of funding, and performance. This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require walking some distance to attend meetings and programs. The University will perform background checks on all new hires prior to employment. This position also requires an Education Verification (FSAKA) .
For questions about the the application process, please contact Daniel Strong, Senior Recruiter at das6zb@virginia.edu
COVID Vaccination Requirement and Guidelines
Please visit the UVA COVID-19 Job Requirements and Guidelines webpage prior to applying for current information regarding vaccination requirements and guidelines 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.
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