Postdoctoral Associate

Close All Job Summary CU Boulder's Computational Multiscale & Multiphysics Laboratory is seeking a Postdoctoral Researcher to advance research in surrogate modeling using state-of-the-art machine learning techniques. The primary objective of this position is to develop predictive and optimization models for the compressive strength of concrete based on mix design parameters, with a special emphasis on low-carbon optimization. Concrete strength is influenced by complex, nonlinear relationships among components such as cement, water, fine and coarse aggregates, and chemical admixtures. Furthermore, the environmental impact of concrete is closely linked to the carbon footprint of these materials, particularly cement. This research aims to address these challenges by leveraging innovative computational tools. The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities. Who We Are The fields of civil, environmental and architectural engineering offer careers in planning, design, construction and management of the built environment as well as in the interaction between the built and natural environment. The Department of Civil, Environmental and Architectural Engineering's mission is the education of undergraduate and graduate students to become leaders in the professional practice of engineering, contributing to technological advances that benefit humankind while enhancing the earth's physical and biological resources. The Department of Civil, Environmental and Architectural Engineering fosters an environment of inclusivity and celebrates the increasing diversity of our student body. We are committed to fostering inclusive excellence and have adopted priorities to guide our values and practices. What Your Key Responsibilities Will Be The successful candidate will develop in-house computational machine learning software in Python (or C) with Git repository. It is also required that writing peer-reviewed journal articles and communicate results at conferences, along with interact with technical staff within the research team. What We Can Offer The annual salary associated with this position is $65,000 per year. Benefits The University of Colorado offers excellent benefits, including medical, dental, retirement, paid time off, tuition benefit and ECO Pass. The University of Colorado Boulder is one of the largest employers in Boulder County and offers an inspiring higher education environment. Learn more about the University of Colorado Boulder. Be Statements Be curious. Be game-changing. Be Boulder. What We Require PhD in civil engineering or a related field. Strong programming skills. What You Will Need Strong verbal and written communication skills. Fundamental knowledge on computational mechanics and machine learning methods. Keen interest in interdisciplinary collaboration to solve real-world problems. What We Would Like You to Have The ideal candidate will have research experience in the following areas: Collaborative software development using Python (or C) with Git repositories. Computational mechanics applied to boundary value problems. Fundamental knowledges on machine learning techniques and architectures. Special Instructions To apply, please submit the following materials: Current Resume/CV Cover Letter (Optional) Transcripts/Proof of PhD: If you are selected as the finalist, your degree will be verified by the CU Boulder Campus Human Resources department using an approved online vendor. If your degree was obtained outside of the United States, please submit an English-translated version (if applicable) as an Optional attachment. During the application process, you will be asked to provide the name and contact information for one reference, from whom we will request a letter of recommendation immediately following the submission of your complete application. Please apply by December 19, 2024 for full consideration. Note: Application materials will not be accepted via email. For consideration, applications must be submitted through CU Boulder Jobs. In compliance with the Colorado Job Application Fairness Act, in any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information. Posting Contact Information Posting Contact Name: Boulder Campus Human Resources Posting Contact Email: Recruitingcolorado.edu