Research Associate-Artificial Intelligence and Statistical Genetics
Department of Animal Science
Employment type: Full-Time
Application Deadline: July 31, 2019
Public Job Postings at MSU: http://www.careers.msu.edu/cw/en-us/job/501644/research-associatefixed-term
Job no: 582359
Work type: Faculty/Academic Staff
Major Administrative Unit / College: College Of Agriculture And Nat Resources
Department: Animal Science Department Anr 10002063
Salary: 47484.00-51000.00 Salary Commensurate with Experience
Location: East Lansing
Categories: Full Time (90-100%), Fixed Term Academic Staff, Information Technology, Research/Scientific, Non-Union
The successful candidate is expected to independently develop AI methodology applied to genomic prediction and further knowledge in this research area, including novel methods for genomic prediction and genomic analysis.
The specific duties of this position include:
Develop and test new methods for genomic prediction, primarily using Artificial Intelligence methodology.
Develop methods to make use of biological knowledge for genomic prediction.
Develop and apply methods and software for effective use of sequence data in genomic prediction.
Report on results in peer reviewed journal papers.
Write grant proposals in the area.
Assist with some undergraduate and graduate teaching, provide assistance with supervision of graduate students
This position is initially for one year, renewable annually based on performance, for up to three years with a possibility of an extension conditional on availability of funding.
Appropriate qualifications and research training relevant to the duties, including completion of a PhD degree artificial intelligence, statistical genetics, bioinformatics or animal genetics.
Experience with Artificial Intelligence methods and parallel programming techniques.
Strong coding skills with high-performance libraries.
Experience in computer programming, particularly C++ and R. Programming for mobile platforms and GPUs is a plus.
A strong record of research achievement and publication, relative to opportunity.
Ability to communicate research outcomes and research ideas.
Some work experience in the relevant field of study.
Some experience in working with public databases (NCBI, EMBL…).
The ability to take initiatives and independently develop research proposals.
Conceptual understanding of quantitative genetics and its role in animal breeding programs.
Salary is competitive and based on career stage, medical benefits are offered in the salary package. Travel and training opportunities will be provided to the successful candidate.
Doctorate -Artificial Intelligence, bioinformatics, statistical genetics, animal genetics or a related area.
Applicants must have completed a PhD degree in Artificial Intelligence, bioinformatics, statistical genetics, animal genetics or a related area. They should demonstrate high research productivity, proficiency in computer programming, particularly C++ and R, a thorough knowledge of Artificial Intelligence, massively parallel programming paradigms and the use of high-performance libraries in HPC environments.
Applicants should possess excellent skills in analytical and creative thinking. Specific and relevant experience in the research area is highly desirable, particularly genomic prediction.
Required Application Materials
Cover letter explaining background, career plans, and description of relevant experience
Most recent CV
Contact information for three referees
Questions about the position should be directed to Prof. Cedric Gondro (firstname.lastname@example.org), Department of Animal Science, MSU or Prof Wolfgang Banzhaf (email@example.com), Department of Computer Science and Engineering, MSU.
Review of Applications Begins On
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