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Research Assistant Professor - Mathematical and Computational Epidemiology

Charlottesville

Research Assistant Professor - Mathematical and Computational Epidemiology

  • R0033261
  • Charlottesville, Virginia, United States
  • Faculty
  • The University of Virginia
The Network Systems Science and Advanced Computing (NSSAC) division of the Biocomplexity Institute and Initiative (BII) at the University of Virginia is seeking applications for Research Assistant Professors in fields related to mathematical and computational epidemiology. BII performs world-class informatics research in life sciences, social sciences, and human health by integrating theory, modeling and simulation with computational and experimental science in a transdisciplinary, team science research environment.

NSSAC is pursuing an advanced research and development program for interaction-based modeling, simulation and associated analysis, experimental design, and decision support tools for understanding large biological, information, social, and technological (BIST) systems. Extremely detailed, multi-scale computer simulations allow formal and experimental investigation of these systems. The need for such simulations is derived from questions posed by scientists, policymakers, and planners involved with very large complex systems. Our team is comprised of a diverse group of researchers from various domains including computer science, cognitive science, mathematics, biology, health science, electrical engineering, and economics. For additional information about NSSAC, visit: https://biocomplexity.virginia.edu/nssac

The position will be offered at the rank of assistant research professor and will be located in BII's location in Charlottesville, VA. Position reports to Madhav Marathe, Director of NSSAC and Professor of Computer Science in the School of Engineering and Applied Sciences.

Responsibilities:
• Collaborates with and provides expertise to team science members including students, postdoctoral fellows, faculty, and sponsors;
• Mentors undergraduate, graduate student, and postdoctoral research associates in NSSAC;
• Leads and collaborates in publication of scientific results in peer reviewed journals, professional conferences and other forums;
• Engages in collaborative work with peers both within the group and outside with the aim to achieve division objectives;
• Routinely communicates research progress with supervisor, peers and other appropriate staff;
• Identifies research opportunities; leads and participates in grant writing activities;
• Participates fully in the intellectual life of the division and institute, and in the building of the division's reputation in research and academics.
Required Qualifications and Experience:
• Ph.D. in computer science, biomedical engineering, mathematics, systems engineering or a closely related field;
• Record of scholarly productivity, a demonstrated interest in creative and novel research endeavors, and ability to contribute significantly to highly functioning teams focused on complex real world challenges requiring a multi-disciplinary approach;
• Demonstrated record of scholarship in top-tier journals and an understanding of the external funding roles of Principal Investigator or a senior collaborator;
• Experience in developing peer-reviewable publications and evidence of publications in peer-reviewed journals;
• Explicit commitment to, and accomplishments in, teaching, research, and/or service notable to seniority;
• Experience mentoring undergraduate and graduate students;
• Ability to excel in a highly collaborative team science environment;
• Strong work ethic and ability to work individually as well as within high-performing and diverse team structures.

Preference will be given to candidates that are collaborative in nature across disciplines and would complement or expand the division’s current strengths. 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, complete an application online through Workday and attach the following:
• Current Resume
• Cover Letter
• Contact Information for 3 references
• Three to four representative publications or similar research output products, e.g. software systems, data products etc.

***Please note that you MUST upload multiple documents into the CV/Resume box. Applications that do not contain all of the required documents will not receive full consideration.

*** Process for External Applicants:

Please apply through Workday, and search for 'R0033261'. Process for Internal UVA Applicants: Please apply through your Workday Home page, search “Find Jobs,” and search for ‘R0033261.’

The position will remain open until filled.

For questions regarding the position, please contact Madhav Marathe, Search Committee Chair, at marathe@virginia.edu.

For questions about the application process, please contact Daniel Strong, Senior Recruiter, at das6zb@virginia.edu.

This is a restricted position based upon the continued availability of funding.
The University will perform background checks on all new hires prior to employment. This position will also require an Education Verification (FSAKA).

The University of Virginia is annually ranked as one of the premier public institutions in the United States and is located in Charlottesville, a picturesque and vibrant small city perennially ranked as one of the best places to live in the U.S. More information about town, the school, faculty benefits and other topics can be found at http://uvacharge.virginia.edu/guide.html. UVA assists faculty spouses and partners seeking employment in the Charlottesville area. To learn more please visit https://dualcareer.virginia.edu

MINIMUM REQUIREMENTS

Education: Ph.D. or terminal degree. ABD may be accepted.
Experience: None
Licensure: None

PHYSICAL DEMANDS

This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

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.

 

Each agency within the Commonwealth of Virginia is dedicated to recruiting, supporting, and maintaining a competent and diverse work force. Equal Opportunity Employer

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