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PhD Positions in Antimicrobial Resistance, One Health, and Environmental Engineering Michigan State University in United States
Degree Level
PhD
Field of study
Computer Science
Funding
1-2 funded Ph.D. positions are available beginning Spring 2027. The post states the projects are funded; no stipend amount or tuition details are provided.
Country
United States
University
Michigan State University

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About this position
The Williams Lab for Molecular Microbial Ecology and Biotechnology in the Department of Civil and Environmental Engineering at Michigan State University is seeking applicants for 1-2 funded PhD positions starting Spring 2027.
Research topics include antimicrobial resistance, One Health, environmental engineering, wastewater treatment, emerging contaminants, pathogen removal, biosolids, treatment technologies for antimicrobial resistance genes, and the extracellular environment.
Ideal applicants should have an M.S. in environmental engineering or a related field, plus strong experience in microbial genomics methods, next-generation and long-read sequencing, bioinformatics, DNA/RNA extraction, RT-qPCR, microbial culture, waste treatment reactors, analytical chemistry methods (HPLC, GC-MS, LC-MS/MS), and data analysis using machine learning.
Applicants should also have prior research and publishing experience, strong communication and interpersonal skills, and a strong interest in science.
To apply, contact Dr. Maggie Williams by email with a cover letter and CV. Use “PhD student application” in the subject line. Review begins immediately.
Funding details
1-2 funded Ph.D. positions are available beginning Spring 2027. The post states the projects are funded; no stipend amount or tuition details are provided.
What's required
Applicants should have an M.S. degree in environmental engineering or a related field. Strong experience is desired in microbial genomics methods including next-generation and long-read sequencing, bioinformatics, DNA/RNA extraction, and RT-qPCR. Experience with microbial culture, waste treatment using diverse reactor configurations and processes, analytical methods such as HPLC, GC-MS, and LC-MS/MS, and data analysis using machine learning is preferred. A record of prior research and publishing activities, excellent communication and interpersonal skills, and a strong passion for science are also expected.
How to apply
Interested candidates should email Dr. Maggie Williams with a cover letter and CV. Include “PhD student application” in the subject line for the quickest response. Review of applications begins immediately.
More information can be found here
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