The Department of Chemical and Biological Engineering invites applications for faculty positions at the Assistant/Associate level from candidates who use AI in innovative applications within the CBE key areas of biological engineering, biomedical engineering, and materials design. This is part of a cluster hire search for 6 positions being conducted by the Walter Scott, Jr. College of Engineering across all Engineering departments. Example areas of interest include applications of AI in protein engineering and genome engineering for synthetic biology applications, and AI applications that seek to advance theory and modeling of fundamental biological and chemical processes. CBE offers a highly interdisciplinary and collaborative environment, with all research faculty holding courtesy appointments in other departments or cross-departmental programs. More than 50% of current graduate students also come from other departments or programs. Collaborations within the department offer access to unique data sets, equipment and capabilities, including from protein X-ray diffraction, high-throughput biological synthesis in the Biofoundry, automated single-cell and single-molecule imaging, biosensors, microfluidic fabrication and meta-omics. For full details and to apply see https://jobs.colostate.edu/postings/152843 . 

Required Qualifications:

Assistant Professor: PhD (or equivalent degree) in equivalent degree in an engineering discipline or other field relevant to the department(s) of interest by proposed August 15, 2025 start date.   

Associate Professor: PhD (or equivalent degree) in equivalent degree in an engineering discipline or other field relevant to the department(s) of interest by proposed August 15, 2025 start date. 

Currently at the rank of associate professor or at least 4 years of experience at the assistant professor level. 

For each level, required credentials must include: Evidence of scholarly activity in the form of research publications in areas relevant to the position; and commitment to the responsibilities of a faculty member – education, research, and service – as demonstrated in the application. 

Preferred Qualifications:

• Evidence of scholarly achievement commensurate with experience, including high-quality peer-reviewed publications;
• Research experience and interests that are relevant to the topics expressed in the departmental description(s) to which the candidate is applying, and the candidate’s demonstrated expertise in developing foundations of AI or applying AI to engineering problems
• Vision for developing an independent, funded research program over the next 5 years, including the potential for interdisciplinary research collaborations and the research impact on the broader community and society; and
• Plans to effectively engage in educational activities, attract and mentor students from diverse backgrounds and experiences, and engage the broader community.