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College of Veterinary Medicine

Employment Opportunities

Post-Doctoral Research Associate

The Center for Outcomes Research and Epidemiology in the College of Veterinary Medicine, Kansas State University, is seeking applicants for a full-time Post-Doctoral Research Associate position. The successful candidate would be fully engaged in the diverse outcomes-based research and training programs of the Center (http://www.vet.k-state.edu/core).  

We seek candidates with documented skills and expertise in analysis of data from disease spread and outbreak response model scenarios, and the ability to analyze results by methods such as multi-criteria decision analysis (MCDA) and game theoretic methods.  We seek to evaluate the trade-offs of different disease response decisions and to identify optimal disease response strategies.  The funded project will focus on identifying optimal solutions to management of a potential Foot and Mouth disease introduction to the United States to improve preparedness and mitigate impacts. Publication of high quality research in referred journals is expected.

A quantitative PhD in epidemiology, animal science, biostatistics, decision theory, or a related field is required.  Excellent oral and written communication skills, and a collaborative philosophy will be emphasized. 

Preferred qualifications are a DVM, experience with large-scale livestock population data for animal health and economic decision making, and knowledge and applied expertise in experimental, observational, and synthesis research methods. 

Interest and experience teaching or delivering technical training and continuing education to professionals would be an asset.  This position may provide the opportunity to contribute to grant writing and other mechanisms of developing research funding for the interested candidate.  While the primary duties will focus on the project described in this announcement, multiple diverse, and robust, research opportunities are available at the Center for Outcomes Research and Epidemiology to provide the candidate broad exposure. Current methodological focus areas of the group include risk assessment, Bayesian methods, network modeling, structural equation modeling, meta-analysis, mixed effects linear models, infectious disease modeling, real-time surveillance, and the development of practical decision tools. This full-time unclassified position provides University benefits and allows excellent salary support reflecting qualifications and experience. 

Kansas State University is the western anchor for the Kansas City Animal Health Corridor, which is home for over 200 animal health and nutrition company headquarters and whose leadership controls over one-third of the world's animal health business.  K-State's newest campus in Olathe was built in part to enhance and develop public-private partnerships in the region and to capitalize on the University's reputation as a leader in the field of animal health and food safety/security.  Nestled in the heart of the scenic Flint Hills, Manhattan Kansas is a thriving center for trade, education, government, health care, and entertainment.  The Manhattan area features an excellent university, respected army post, fine arts, the beauty of nature, exciting sports teams, and a wide range of other attractions. After a rigorous selection process, Manhattan Kansas was selected as the location for the National Bio and Agro-defense Facility, or NBAF. The $1.25 billion facility is the U.S. Department of Homeland Security's foremost animal disease research facility, currently under construction on Kansas State University's Manhattan campus. The strategic location of this facility places NBAF near important veterinary, agricultural and biosecurity research and expertise. 

To apply, please submit an application along with a cover letter, resume and contact information for three professional references at http://careers.k-state.edu/cw/en-us/job/507521/fellow-post-doc-diagnostic-medicinepathobiology  

Kansas State University is an Equal Opportunity Employer of individuals with disabilities and protected veterans and actively seeks diversity among its employees. Equal Employment Opportunity is the Law. Screening of applications begins immediately and will continue until the position is filled.  

In connection with your application for employment, Kansas State University may procure a Background Screen on you as part of the process of considering your candidacy as an employee.

PhD opportunity in bacteriophage and antimicrobial resistance modeling at Kansas State University

A PhD studentship is available at the Department of Diagnostic Medicine/Pathobiology, College of Veterinary Medicine, Kansas State University. The ideal candidate will have a doctor of veterinary medicine, a doctor of medicine, or an equivalent degree; training in research via a MSc degree; and quantitative skills confirmed by either formal education or research publications. Applicants who have not completed a MSc should either demonstrate extensive research experience during their undergraduate career, or have completed an MPH or acquired employment‐based experience in public health, epidemiology, or biostatistics.

The main quality sought in the applicant is the ability to apply quantitative thinking to biological questions, in terms of both conceptualizing and executing such investigations. The focus area for the PhD research can be bacteriophage therapy development and studying interactions between bacteriophages and antimicrobial drugs, including mathematical modeling of the pharmacodynamics. This focus area is in collaboration with the U.S. Navy. Alternatively, the PhD research focus area can be analysis of bacterial antimicrobial resistance distribution in populations and sample size estimation for such studies. In either of the two cases, the candidate will perform both laboratory‐based research and statistical or mathematical modeling and simulation based research. The student will be supported to complete the K‐State Graduate Certificate in Applied Statistics, if they chose so. The student will be supported for attending scientific conferences, and offered additional networking and experience opportunities via concurrent projects in the host group, e.g., to assist in activities of the U.S. National Antimicrobial Resistance Monitoring System.

To apply, please send a maximum of a two‐page Research Statement with two ideas of quantitatively minded investigations into one of the two focus areas outlined above, Curriculum Vitae, transcripts of all prior degrees (e.g., veterinary, BSc, MSc, MPH), and a list of four references to: nowakows@vet.kstate.edu. Applications that do not include the research statement or are otherwise incomplete will not be considered. The candidate must also meet the requirements for admission to the PhD in Pathobiology program: https://www.vet.kstate.edu/education/dmp/graduate/programs/pathobiology.html. Detailed inquiries about possible research projects or program of studies can be directed to Dr. Victoriya Volkova, vv88@vet.k‐state.edu.

The host group is co‐located with the Institute of Computational Comparative Medicine (http://iccm.kstate.edu/) and the Nanotechnology Innovation Center of Kansas State (http://nicks.ksu.edu/). The host group is a member of the Center for Outcomes Research and Epidemiology (https://www.vet.kstate.edu/research/core/). This provides a wide variety of equipment for investigations using methods of pharmacology, microbiology, nanotechnology, and high performance computing. Expertise in these disciplines, as well as in epidemiology, infectious disease modeling, biostatistics, metagenomics, bioinformatics, molecular simulation, population pharmacokinetics, and physiologically based pharmacokinetic modeling is available to support the applicant’s research development. Further, expertise in virology, bacteriophage therapy development, microbiology, experimental pathology, immunology, emerging and foreign animal infectious diseases, preventive medicine, food safety, and economic analysis of disease control is available through the Department, ICCM, CORE, or active collaborations. Facilities for laboratory, animal, and simulation based research are available. The
position is open until filled.