Nanopore sequencing; Environmental Metagenomics

Tuesday, May 17, 2022
Job Type: 
Job Rank: 
Postdoctoral Fellow
Job Institution: 
Georgia Institute of Technology
Job Description: 

The Environmental Ecosystems Lab ( at Georgia Institute of Technology (Georgia Tech) in the School of Civil and Environmental Engineering is looking to recruit a Postdoctoral Research Fellow to work in the area of nanopore sequencing for targeted and non-targeted characterization of complex microbial communities in the engineered water cycle. The ideal start date is in July/August 2022, but there is some flexibility for the right candidate. The responsibilities of the Postdoctoral Research Associate will involve the design, development, testing, and validation of protocols for targeted and non-targeted characterization of complex microbial communities in the engineered water cycle using nanopore sequencing. The immediate focus of this post-doctoral position would be to leverage the long-read and adaptive sampling capabilities of the nanopore sequencing platform to enhance the genome-centric characterization of microalgal communities used for advanced nutrient removal and recovery. This position will combine wet-lab experiments and computational work to develop microbial characterization assays of interest, followed by field-based testing. The appointment will be for two years and is renewable dependent on performance and availability of grant funds.

This position offers a unique opportunity to work closely with multiple industry partners in including in the wastewater, resource recovery, and bioenergy sectors. Further, the Postdoctoral Research Fellow will have the opportunity to mentor graduate and undergraduate students and also contribute to and benefit from several ongoing research projects in the areas of drinking water microbial ecology, optical sensing, and nitrogen-cycle microbiology.

The candidate should have a Ph.D. degree in a STEM field; preferably Environmental Engineering, Biotechnology or Bioengineering, or Microbiology with a track record of computational/bioinformatics research.

If interested please contact Ameet Pinto (ameet.pinto(at) and/or please apply for job ID: 243476  at