The Cooperative Institute for Great Lakes Research (CIGLR) at the University of Michigan is seeking a highly motivated candidate for a Postdoctoral Fellow position. This position will develop and use cutting-edge novel methods in metagenomics and metabarcoding, such as CRISPR Cas9 to investigate uncharacterized prey-predator interactions in the lower food web in the Great Lakes. This research will also investigate the role of prey-predator interactions in the dynamics of cyanobacterial harmful algal blooms. The successful candidate will participate in sampling trips in the Great lakes, data collection, data analysis, and writing manuscripts. The postdoc will work closely with a group of scientists at the University of Michigan and the NOAA Great Lakes Environmental Research Lab in Ann Arbor, MI.
Qualified candidates will hold a Doctoral degree in microbiology, molecular ecology, and biological oceanography. Degree must be conferred by the start date of the position.
Fluent with molecular biology techniques (e.g., DNA, RNA extractions, PCR, qPCR) and high-throughput sequencing using platforms such as Illumina.
Experience in integrating and analyzing large scale data (omics and biogeochemical data).
Computational skills important for this position are: familiarity with the command line environment, Unix, Bash, etc, and tools and knowledge of bioinformatics tools such as DADA2, Qiime, metaSPAdes, or Metabat2.
Experience using R and/or Python to analyze targeted gene amplicon sequencing data and metagenomics data from microbiomes.
Demonstrated record of publishing papers on the use of metagenomic or metabarcoding techniques.
Knowledge of the lower food web in aquatic environments.
Highly motivated and independent, with the ability to work in a dynamic team environment.
Exceptional organizational skills, strong communication skills.