Postdoctoral associate in animal population health and/or machine learning
Department of Veterinary Population Medicine
University of Minnesota
The VanderWaal lab is seeking one-two post-docs focused on animal population
health (livestock and/or
wildlife) and or/machine learning
One post-doc is sought to develop and validate models for predicting the spread
of livestock pathogens
at the landscape level using spatial analysis and machine learning techniques
and data on between-farm
animal movements and disease incidence. Candidates should be able to
demonstrate experience in
machine learning and spatial analysis/GIS.
A second post-doc is sought to develop approaches to monitor aggregated
veterinary diagnostic data
over time, including implementing systems to detect anomalies in the data that
may indicate emerging
health concerns in livestock/wildlife populations. Data sources include
working with clinical data from
wildlife rehabilitation centers (~14,000 cases per year) or diagnostic data on
livestock pathogens.
Position: This position/s will be an annually renewable, non-tenure
track, 100% time appointment with
focus on analytic epidemiology and machine learning.
Location: Veterinary Population Medicine Department, College of
Veterinary Medicine
University of Minnesota
Requirements:
For both positions, candidates must have completed a Ph.D. degree by
start date. Proficiency in
programming with R or other programming language 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
machine learning
approaches; and demonstrated ability to work in teams. Candidates with a
background in epidemiology,
veterinary medicine, statistics, management of large datasets, and network
analysis will have
preference.
Duties:
1) Conduct research and provide technical assistance to the PI, students,
and trainees on data
analysis, and other miscellaneous problems related to epidemiology and/or data
analytics.
2) Collect and organize data for research activities. Collaborate with the
PI in the generation and
testing of research hypotheses and data analysis, writing of papers, grants,
and reports, and
preparation of presentations and lectures.
3) Participate in laboratory meetings, seminars, graduate and
undergraduate lectures, and
conferences as needed.
4) Perform miscellaneous duties as assigned by the PI including, but not
limited to, ordering supplies
and organization and coordination of meetings and projects.
5) Maintain frequent communication with other faculty and collaborators,
including potential travel to
meet with collaborators and collect data.
Salary: Commensurate with experience and qualifications.
Start Date: When filled.
Application: Apply online at: employment.umn.edu, job number 320146
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 names of three references.
Please contact Dr. Kim
VanderWaal ([email protected]) for further details.
The University of Minnesota is an equal opportunity educator and employer.
