Postdoc Associate for Statistical Learning and Data Mining of Automated Tracking to Support Sorghum Impact on Pig Behavior and Immune Responses
The 1DATA-PAW initiative seeks applications for a postdoctoral scholar in the area of data science and elements of statistical and machine learning at K-State. We are looking for a researcher who can help design and analyze data obtained from a novel deep learning technology that will use visual, audio, and other sensory data to track the behaviors of pigs in a pen continuously and in test arenas that are used to measure cognition and dominance. In light of this technology, the fellow will be requested to perform a comparative analysis from an adaptive resolution rate based on multiple cameras installed in the pens and arenas designed by Dr. Hulbert for the Sorghum Project. Sorghum fermented products will be used to mitigate stress, inflammatory, and behavioral responses in adult pigs that must have restricted feed intake to maintain a healthy body weight or reduce weight after becoming overweight.
The appointment is performed at K-State Olathe and K-State main campus in Manhattan; therefore, the successful applicant will be expected to travel to these research labs. We are looking for an independent researcher who will help conduct research using advanced statistical/mathematical tools to extract and cleanse data from different resources, build, and be an integral part of our 1DATA-PAW program. The incumbent to these positions would be responsible for the initial configuration and implementation of an API platform for continuous visual tracking of behaviors that will be collected using a camera system for our proprietary machine learning software (to be developed). The system could theoretically identify and count the number of potential contests or conflicts as well as distinguish play-like-behaviors. This is envisioned as a multipurpose platform that will integrate and analyze behaviors including distance, rotation, time spent drinking, near environmental enrichment, sleeping, and time spent in close proximity to pen mates using 1DATA tools (www.1DATA.life).
Why Join Us:
1DATA consortium and Precision Animal Welfare (PAW): The 1DATA-PAW initiative enables the use of large (incomplete or "messy") data that is available, but not in a format that is currently useful for translational research. The framework developed a clearinghouse for the collection and integration of multiple databases to develop the next generation of approaches from experimental and computational perspectives. Dr. Jaberi and Hulbert’s program currently supports 4 postdocs, 8 graduate students, 3 undergraduates/interns and 3 research associates. The team is leading international experts in creating pipelines for conventional and automated novel data curation for comparative data analytics. The team develops intelligent streamlining of a research-based data repository.
Kansas State University offers a comprehensive benefits package that includes health insurance, life insurance, retirement plans, paid time off – vacation, sick, and holidays. To see what benefits are available, please visit: https://www.k-state.edu/hr/benefits
We Support Diversity and Inclusion:
Kansas State University embraces diversity and inclusion. The university actively seeks individuals who foster a collegial environment and cooperative interactions with coworkers, students, and others. The University is dedicated to promoting the Principles of Community.
This position is eligible for a hybrid worksite. Work is performed partially remotely and partially on employer premises or designated assignment locations.
Visit this link for K-State’s guidance and policies on remote work and flexible work arrangements. Remote work agreements are required for all flexible work arrangements and are subject to review.
What You’ll Need to Succeed:
- Outstanding, intellectually curious researcher at an early stage of their scholarly career. A demonstrated capacity for independent work and will be expected to engage with researchers and faculty and participate in activities convened by our Initiative. Doctoral degree in a field such as statistics and mathematics, data science, biomedical sciences, computer science, or engineering. 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
- Applied Statistical learning Experiments and causal inference Applied regression and time series analysis Large-scale data mining and analysis Visualizing and communicating data
- 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 data structures would be beneficial.
Licenses Required: A valid Driver’s License
Applicants must be currently authorized to work in the United States at the time of employment.
How to Apply:
Applicants must submit the following documents in an PDF format:
- 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 professional references.
Application materials must be submitted online to be considered.
For questions regarding the position, please contact Lindsey Hulbert firstname.lastname@example.org and Majid Jaberi at email@example.com.
For questions regarding the recruitment process, please contact Roberta Robinson at firstname.lastname@example.org (913.307.7316).
Screening of Applications Begins: Immediately and continues until the position is filled.
Anticipated Hiring Pay Range:
$50,000 to $60,000 per year.
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.
Equal Employment Opportunity:
Kansas State University is an Equal Opportunity Employer. All applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, gender identity, age, national origin, disability or status as a protected veteran.
Background Screening Statement:
In connection with your application for employment, Kansas State University will procure a Background Screen on you as part of the process of considering your candidacy as an employee.