Open Ph.D. Position: The UQLID (Uncertainty Quantification, Learning, Inference, and Design) Lab at Northern Arizona University’s Department of Mechanical Engineering has an immediate opening for a Ph.D. student to work on “Multi-fidelity Methods for Scientific Machine Learning (SciML).” This fully funded position includes a monthly stipend and support for conference and workshop travels. We invite individuals with a Bachelor’s or Master’s Degree in Mechanical, Civil, Aerospace Engineering, or Engineering Mechanics, along with expertise in scientific machine learning, multi-fidelity methods, computational mechanics, and uncertainty quantification, to apply for this exciting opportunity. Join our dynamic research team and contribute to cutting-edge research in SciML.
Designation: Ph.D. Student
Research Area: Multi-fidelity Methods for Scientific Machine Learning (SciML)
Location: Northern Arizona University, Flagstaff, Arizona, USA
Eligibility/Qualification:
- Bachelor’s or Master’s Degree in Mechanical, Civil, Aerospace Engineering, or Engineering Mechanics.
- Experience in one or more of the following topics: scientific machine learning (SciML), multi-fidelity methods, computational mechanics, and uncertainty quantification.
- Strong verbal and written communication skills.
Job Description:
Open Ph.D. Position in Multi-fidelity Methods for Scientific Machine Learning (SciML)
As a Ph.D. student in the UQLID Lab, your responsibilities will include:
- Conducting research in the field of Multi-fidelity Methods for Scientific Machine Learning (SciML).
- Collaborating with a dynamic research team to advance the understanding of SciML.
- Contributing to cutting-edge research in computational mechanics and uncertainty quantification.
- Presenting research findings at conferences and workshops.
- Pursuing a Ph.D. degree in Mechanical Engineering at Northern Arizona University.
How to Apply: Interested candidates are encouraged to email Dr. Subhayan De (Subhayan.De@nau.edu) with the following documents attached:
- Current CV.
- Cover letter expressing your interest in the position and relevant qualifications.
Last Date for Apply: Applications will be accepted until the position is filled.
Additional Information: For more information about our lab and the Ph.D. program in Mechanical Engineering at NAU, please visit the following web pages:
Northern Arizona University is an equal opportunity/affirmative action employer. Women, minorities, individuals with disabilities, and protected veterans are encouraged to apply.
Department of Mechanical Engineering Northern Arizona University Flagstaff, Arizona
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