Postdoctoral Research Associate - Bridges Lab

The Bridges Lab in the Department of Biological Sciences at Carnegie Mellon University is seeking a highly motivated Postdoctoral Scholar to join our interdisciplinary research team. Our lab investigates the dynamic interactions between bacteria and their environments, with a focus on microbial signal transduction, biofilm formation, and spatial organization using cutting-edge experimental and computational approaches. Learn more about our work at https://labs.bio.cmu.edu/bridges/.

We welcome applicants from a broad range of backgrounds. This position is ideal for candidates with a Ph.D. and expertise in one or more of the following areas:

Microbiology - microbial ecology, bacterial genetics, or host-microbe interactions.

Microscopy - advanced imaging techniques, image analysis, or spatial biology.

Computer Science - especially computer vision, machine learning, or bioinformatics applied to biological questions.

Position Details:

As a postdoctoral scholar in the Bridges Lab, you will: Develop and lead research projects aligned with the lab's interests in microbial systems and spatial biology. Work collaboratively with a diverse and multidisciplinary team of experimentalists and computational scientists. Have access to state-of-the-art imaging technologies and computational resources. Contribute to the development of novel analytical tools or experimental techniques. Present research findings at national and international conferences and prepare manuscripts for peer-reviewed publication.

* Ph.D. in Biology, Microbiology, Bioengineering, Computer Science, or a related field.

* Strong record of research productivity and creative problem-solving

* Excellent communication skills and the ability to work independently and collaboratively

* Experience in microscopy, microbial systems, or computational analysis is highly valued

Preferred (but not required):

* Experience with spatial transcriptomics, bacterial community modeling, image segmentation, or machine learning in biological contexts

* Programming skills in Python, MATLAB, or similar languages

* Familiarity with high-dimensional data analysis or large image datasets

The position is available immediately and applications will be reviewed on a rolling basis until the position is filled.

To apply, please provide a cover letter describing your research interests, relevant background, and future goals. In addition, please supply your CV, including publications and contact information for three references.