The post-doctoral scientist will carry out research in the Shin-Han Shiu lab (shiulab.github.io/) of the Great Lakes Bioenergy Research Center (GLBRC), with the duty to identify the genetic basis of the bioenergy crop switchgrass' traits that are relevant for its productivity in marginal lands. The employee will use machine learning and other related computational biology approaches to carry out this research and works alongside other postdocs as well as undergraduate and graduate students and other scientists within the center. The successful candidate will engage in a research program with a multi-disciplinary team in connecting genotypes with phenotypes, integrating multi-omics data, and applied Artificial Intelligence and machine learning-based approaches to improve switchgrass as a biofuel feedstock.
• Doctorate - Bioinformatics, and/or Plant Science related fields.
• PhD in bioinformatics, computational biology, or plant science related fields
• Experiences with omics analysis pipeline with published works; managing computational biology projects with published works; strong programming background in any language.
• Experiences with artificial intelligence and machine learning; strong organization, collaboration, and interpersonal skills.
Please provide a two-page cover letter describing relevant skills and how you are suitable for the position; current resume/CV; and contact information for three references.
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to complete application, attach cover letter and resume, and provide contact information for your references.