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Job ID: 262823

Full-Time Tenure Track Faculty Member
Carnegie Mellon University

The Department of Biomedical Engineering at Carnegie Mellon University (CMU) invites applications for full-time tenure-track faculty positions. The Department offers an interdisciplinary research and education program housed within a top-ranked College of Engineering. Innovation, interdisciplinary collaboration, and problem solving reflect the spirit of Carnegie Mellon. We look forward to you joining us to make an impact on the future of medicine through interdisciplinary engineering innovation. Our faculty members benefit from a strong university-wide collaborative culture, generous research support, modest teaching loads, outstanding students, and comprehensive benefits. Initiated in the 1960’s, Biomedical Engineering at CMU has a rich history of research, innovation, and clinical application. There are exceptional opportunities for interdisciplinary collaborations with other engineering departments; departments outside of engineering such as computer

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The Department of Civil & Environmental Engineering at Stanford University invites applications for a tenure-track faculty position at the junior level (Assistant Professor). We seek applicants in support of the department’s vision of creating solutions for cities, communities, and nature to thrive, with a particular focus on the frontier of natural hazard and risk engineering (https://cee.stanford.edu/research-impact). While we give highest priority to the originality, quality, and potential impact of the candidate’s work, we are especially interested in applicants whose research addresses hazard characterization, risk assessment, and/or mitigation strategies for climate-influenced risks, such as flooding, drought, wildfires, landslides, storms, and urban heat, among others. Please visit our website for more information about the CEE Department at http://cee.stanford.edu/.

Applicants must have completed, or be completing, a Ph.D. in the engineering field in which they apply their work, or a closely related one. Evidence of the ability to

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Ground Software & Systems Manager – Mission Operations (0346U), Space Sciences Laboratory – 81263

About Berkeley

At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student body, and commitment to equity and social justice. Since our founding in 1868, we have driven innovation, creating global intellectual, economic and social value.

At the University of California, Berkeley, we are dedicated to fostering a community where everyone feels welcome and can thrive. Our culture of openness, freedom and belonging make it a special place for students, faculty and staff.

As a world-leading institution, Berkeley is known for its academic and research excellence, public mission, diverse student

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SPX Distinguished Scholar/Professor and Director of BATT CAVE
UNC Charlotte

The William States Lee College of Engineering at UNC Charlotte is currently seeking candidates for the SPX Distinguished Scholar/Professor and Director of BATT CAVE, with an expected start date July 1, 2026. A distinguished scholar/professor is an honorary position for tenured faculty who are recognized as a national or international leader in their field and a scholar who has demonstrated a high level of productivity. BATT CAVE is the North Carolina Battery Complexity, Autonomous Vehicle and Electrification Research Center. The BATT CAVE focuses on the advancement of battery technology and autonomous vehicles. Battery research aims to enable new battery technology, design new materials, and develop mechanistic modeling to enhance battery performance and address safety concerns. Autonomous vehicle research focuses on modeling, estimation, control, and autonomy for vehicles and battery systems, including AI-based human-machine autonomous vehicle

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