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 ([email protected]) or Scott Wells ([email protected])
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
[email protected] 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.
