Job Title: Post-Doctoral Associate Job ID: 305416 Location: University of Minnesota, Twin Cities
Deadline: Until filled Requirements: Candidates must have completed a Ph.D. degree by start date and should be able to demonstrate experience in network analysis and stochastic models of infectious disease transmission. Proficiency in programming with R is required and strong organizational, quantitative analysis, and writing skills are necessary. Desired qualifications include excellent oral/written communication; leadership and interpersonal skills; previous experience with network models; and demonstrated ability to work in teams. Candidates with a background in cattle disease, statistics, management of large data sets, and applied mathematics or a related field will be given preference. Duties: 1) Primary projects on which the candidate will be engaged include the use of network-based transmission models to predict risks and explore surveillance/control strategies for livestock diseases of cattle, including foot-and-mouth disease, bovine tuberculosis, and para-tuberculosis, though other opportunities may emerge based on candidate interests. 2) Conduct research and provide technical assistance to the PIs, students, and trainees on surveillance, data analysis, and other miscellaneous problems related to cattle disease epidemiology, modeling, and network analysis. 3) Collect and organize data for research activities. 4) Collaborate with the PIs in the generation and testing of research hypotheses and data analysis, writing of papers, grants, and reports, and preparation of presentations and lectures. 5) Attend, participate, or present at laboratory meetings, seminars, graduate and undergraduate lectures, and conferences as needed. 6) Perform miscellaneous office duties as assigned by the PIs including, but not limited to, ordering supplies and help the PIs in the organization and coordination of meetings and projects. 7) Maintain frequent communication with other faculty and collaborators, including, if required traveling to international destinations to meet with collaborators and collect data. How To Apply Review of applications will begin immediately and continue until the position is filled. Applications should include: (1) a cover letter describing research interests and fit with this position, and a possible start date, (2) a curriculum vitae, and (3) and three letters of reference. To apply: Go to employment.umn.edu and search for job number 305416. Please contact Andres Perez (ape...@umn.edu) or Scott Wells (wells...@umn.edu) for further details. Diversity The University recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the academic mission. The University is committed to attracting and retaining employees with varying identities and backgrounds. The University of Minnesota provides equal access to and opportunity in its programs, facilities, and employment without regard to race, color, creed, religion, national origin, gender, age, marital status, disability, public assistance status, veteran status, sexual orientation, gender identity, or gender expression. To learn more about diversity at the U: http://diversity.umn.edu. To request an accommodation during the application process, please e-mail emp...@umn.edu or call (612) 624-UOHR (8647). Background Check Information Any offer of employment is contingent upon the successful completion of a background check. Our presumption is that prospective employees are eligible to work here. Criminal convictions do not automatically disqualify finalists from employment.