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.

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information.  Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders. Consistent with this commitment, Carnegie Mellon will no longer be requiring or considering applicant diversity statements. If you are interested in this position and have not yet submitted a diversity statement, please do not do so. If you have already submitted a diversity statement, please know that any diversity statements submitted by applicants for this opportunity will not be considered in the hiring decision.

About Carnegie Mellon University

Carnegie Mellon (www.cmu.edu) is a private, internationally ranked research university with programs in areas ranging from science, technology and business, to public policy, the humanities and the arts. More than 12,000 students in the university’s seven schools and colleges benefit from a small student-to-faculty ratio and an education characterized by its focus on creating and implementing solutions for real problems, interdisciplinary collaboration and innovation. A global university, Carnegie Mellon’s main campus in the United States is in Pittsburgh, Pa. It has campuses in California’s Silicon Valley and Qatar, and programs in Africa, Asia, Australia, Europe and Mexico.

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