Postdoctoral Fellow - College of Engineering - Department of Chemical Engineering

Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the curious to deliver work that matters, your journey starts here!

Since its inception in 1905, the Carnegie Mellon Department of Chemical Engineering has been on the leading edge of research and innovation in chemical engineering. Today, this is more true than ever. With research thrusts across fields such as health and medicine, biofuels, air quality and more, CMU chemical engineering students are paving the way to healthier, cleaner, more efficient future for all.

The Laird research group at Carnegie Mellon University’s Department of Chemical Engineering is seeking a highly motivated and talented Postdoctoral Researcher to support data analysis, application development, and research objectives.

Core Responsibilities:

• Advancing capabilities in optimization-based conceptual design for new process development and improved process understanding.
• Development of open-source tools for training and optimization of machine learning surrogates.
• Interacting with multiple faculty members within the department, as well as industrial and federal project sponsors.
• Other duties as assigned.

Adaptability, excellence, and passion are vital qualities within Carnegie Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who shares our values and who will support the mission of the university through their work.

You should demonstrate:

• Strong verbal and written communication skills
• Strong creativity
• Ability to work in a collaborative research environment

Qualifications:

• Doctorate degree in Chemical Engineering or related field required.
• 1-3 years of experience in process systems engineering and/or bioprocess modeling
• A combination of education and relevant experience from which comparable knowledge is demonstrated may be considered.