Company:  Confidential

Job Title: Postdoctoral Fellow in Microbial Genetics or Genomics, UTHealth Houston

Job Number: 83011

Location: Houston, US

Job Description

Interested in unlocking the secrets of bacterial behaviors that affect their antibiotic resistance?

Applications are invited for a postdoctoral researcher position in Souvik Bhattacharyya’s laboratory in the Department of Microbiology and Molecular Genetics at The University of Texas Health Science Center at Houston, TX.

Our lab has exciting projects focused on bacterial behaviors affecting antibiotic resistance. We employ a multidisciplinary approach, integrating genetics, molecular biology, evolution, systems biology, big data, and mathematical modeling to uncover new insights and develop innovative strategies against antimicrobial resistance (AMR). For further details, please [Please click the Apply button for the link or email].

The successful applicant will utilize a state-of-the-art blend of genetic, molecular, and computational methodologies. They will gain experience in understanding bacterial resistance mechanisms and their broader implications for public health.

PI: Souvik Bhattacharyya, PhD

Our Motto: At the Microbial Ethology Lab, where we promote innovative thinking and apply structured mentoring plans to reach our goals. We know you are already motivated; otherwise, how could you have earned your PhD? 

Who Can Apply: Applicants with a strong background in microbial genetics/genomics are especially encouraged to apply. We welcome discussions with individuals from physics, chemistry, or math backgrounds who have some experience in microbiology. Recent Ph.D graduates are especially encouraged to apply.

Application Packet: Please send your CV, cover letter, and a one-page research statement to [Please click the Apply button for the link or email]

Applications Deadline: Aug 31, 2024

Current Projects:

1. Vulnerabilities: We aim to develop new antibiotics and slow down the evolution of AMR by using modern genomic tools to identify vulnerabilities in antibiotic-resistant strains.
2. Bacterial Memory: We recently discovered that bacteria can have a deterministic memory that increases their antibiotic survival. We aim to uncover its molecular mechanism and prevalence across different species.

Application Deadline: 2024-09-30

 

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