The postdoctoral fellow will play a key role in advancing next-generation digital twin technology that integrates real-time monitoring, simulation, decision-making, and structural control. Position is 100% funded by a sponsored research grant and is initially for a one-year term. Any renewal is contingent upon funding availability, project outcome and mutual interest. The position involves joint mentorship by Dr. Yanlin Guo at CSU and Dr. Teng Wu at the University at Buffalo.
Monday, 8/10/2026, 11:59pm (MT)
The CEE Department at CSU is recognized both nationally and internationally for its research, education, and service and outreach programs and is ranked in the top 40 CEE programs in the USA . The CEE Department comprises 34 faculty, 7 research scientists/scholars, 15 research associates, and 10 administrative professionals. Our water-related programs are designated a CSU Program of Research and Scholarly Excellence. Additional information about the CEE Department can be found at http://www.engr.colostate.edu/ce/.
Develop digital twin models for single-axis solar tracker arrays, integrating real-time monitoring, simulation, and structural control capabilities.
Implement and field-deploy digital twin platforms, ensuring reliable performance under real-world operating conditions.
Collaborate with the project PI and research partners at the National Laboratory of Rockies, University at Buffalo to plan and execute research activities that meet project milestones and deliverables.
Co-supervise and mentor graduate and undergraduate research assistants involved in the project.
Prepare manuscripts, technical reports, and conference presentations to disseminate research findings.
Pre-employment Background Check – Criminal background check required for all new hires.
Special conditions: The successful candidate must be legally authorized to work in the United States by the proposed start date; the Department will not sponsor a visa for this position.
Ph.D. in a relevant field (e.g., civil/structural engineering or a closely related discipline).
Strong background in structural dynamics, wind engineering, structural control, health monitoring methods, and digital twin modeling.
Experience with machine learning and artificial intelligence methods.
A commendable record of research publications in relevant fields.
For full consideration, please upload a one-page cover letter, CV, and a two-page research statement. Cover letter should state interest and address the required and preferred job qualifications. References will be requested of finalists and will not be contacted without prior notification of candidates.
$58,000 - $60,000
To apply, please upload the following applicant documents. Ensure your materials fully address the required and preferred job qualifications of the position. Please note, applicants may redact information from their application materials that identifies their age, date of birth, or dates of attendance at or graduation from an educational institution.
Cover Letter, Resume/CV, Statement of Teaching/Research Philosophy
Colorado State University is not just a workplace; it’s a thriving community that’s transforming lives and improving the human condition through world-class teaching, research, and service. With a robust benefits package, collaborative atmosphere, and focus on work-life balance, CSU is where you can thrive, grow, and make a lasting impact.
Colorado State University strives to provide a safe study, work, and living environment for its faculty, staff, volunteers and students. To support this environment and comply with applicable laws and regulations, CSU conducts background checks for the finalist before a final offer. The type of background check conducted varies by position and can include, but is not limited to, criminal history, sex offender registry, motor vehicle history, financial history, and/or education verification. Background checks will also be conducted when required by law or contract and when, in the discretion of the University, it is reasonable and prudent to do so.
Colorado State University (CSU) provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
