The Animal Breeding and Genetics group at Michigan State University is seeking a postdoctoral research associate for a 2-year position in the area of animal breeding and statistical/computational genomics to work in collaboration with the Department of Computer Science and Engineering. The successful candidate is expected to independently develop and implement genomic prediction methods that make use of genomic and environmental information. The position is for a period of two years conditional on yearly performance review, with possibility of further appointment subject to funding. Applicants must have completed a PhD in animal breeding and genetics, statistical/computational genomics, or a related area. Candidates must possess in-depth knowledge of genomic prediction models and their applications to animal breeding programs; experience with dairy and beef cattle is a plus. Expertise in big data analytics and programming, particularly R and C/C++ is required; knowledge of Python and Artificial Intelligence methods is desirable. Applicants should possess excellent skills in analytical and creative thinking and a strong background in statistics and computer science. Specific duties of this position include: Develop genomic prediction methods that make use of environmental information, Develop statistical and computational methods for effective implementation of these methods on large scale data sets, Report on results in peer reviewed journal papers, Write grant proposals in the area, Assist with supervision of graduate students and with teaching of graduate courses.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
1. Appropriate qualifications and research training relevant to the duties, including completion of a PhD in statistical/computational genomics or animal genetics.
2. Knowledge of quantitative genetics and its role in animal breeding programs.
3. Experience in computer programming, particularly C++ and R.
4. A strong record of research achievement and publication, relative to opportunity.
5. Ability to communicate research outcomes and research ideas.
6. Ability to take initiative and independently develop research proposals.
Required Application Materials
CV and cover letter
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