UC Davis and K-State Postdoc Associate in Data Science and Machine Learning Applied to Bibliometric Analysis

Purpose of the position: The School of Veterinary Medicine at the University of California, Davis, and the Institute of Computational Comparative Medicine at Kansas State University seek applications for a postdoctoral scholar in the area of data science at 100% time. We are looking for a researcher whose interests are in data science in veterinary medicine data and VetGram, and a researcher with a methodological and application focus. The fellow will be requested with the opportunity to pursue the FARAD and 1DATA research in an intellectually vibrant environment with ample mentorship. 

The appointment is performed in both UC Davis and K-State; therefore, the successful applicant is expected to relocate to both research labs. We are looking for independent researchers who will help conduct research in machine learning to extract and clean data from different resources, build, and be an integral part of our FARAD-1DATA program. The incumbent to this position would be responsible for the initial configuration and implementation of an API platform for bibliometric analysis. This is envisioned as a multipurpose platform that will integrate and analyze disparate sources of safe withdrawal intervals of drugs and chemicals in food-producing animals from Food Animal Residue Avoidance Databank (www.FARAD.org) using 1DATA tools (www.1DATA.life) to analyze the data.

Preferred Qualifications and Experience: Applicants must be outstanding, intellectually curious researchers at an early stage of their scholarly career. Applicants should have demonstrated a capacity for independent work and will be expected to engage with researchers and faculty and participate in activities convened by our Initiative. The successful candidate will have earned a doctoral degree in a field such as data science, biomedical sciences, statistics and mathematics, computer science, or engineering. The data science postdoc scholar will provide evidence in terms of teaching or research experience in at least one of the following core areas:

• Research design and data analysis in applied statistics and mathematics
• Data engineering, storage, and retrieval
• Visualizing and communicating data
• Applied machine learning
• Experiments and causal inference
• Large-scale data mining and analysis
• Applied regression and time series analysis
• Deep learning
• Network analysis
• Self-motivation, attention to detail, persistence, diligence, and the ability to work in a distributed team are essential attributes for the individual undertaking this position.
• Familiarity with animal and human data structures would be beneficial.

Application Information: Required application documents include:

• A CV,
• A cover letter,
• A statement of research interests of up to three pages that succinctly describes the applicant’s research. The statement should explain the importance and potential impact of this research,
• Up to three representative papers,
• Names and contact information for three references.

All materials should be submitted as PDF documents.

Deadline: Review of applications will begin on June 30, 2020, and will continue until the position is filled. We will strive to make decisions by July 2020.

Contacts: For questions about this application, please contact latell@ucdavis.edu and jaberi@k-state.edu.

For more information about our initiative, please visit www.1DATA.life and www.FARAD.org. 

Total Rewards: Heath Insurance and Wellness Life Insurance Leave and Holidays Tuition Assistance Retirement Plans Worker's Compensation. For additional information refer to the benefits summary (http://www.k-state.edu/hr/current-employees/benefits/summary.html).

Salary: Starting salaries are typically in the range of $50,000-$55,000 per year and commensurate with qualifications and experience.

The normal duration of the Fellowship is two to three years subject to availability of funding, satisfactory progress, and mutual agreement. Fellows will receive a generous salary as well as an annual allocation for research and travel expenses.

UC Davis and Kansas State University are Equal Opportunity Employers of individuals with disabilities and protected veterans and actively seek diversity among their employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. A background check is required.