Open Ph.D. Position at UQLID Lab, Northern Arizona University, United States
(Supervisor: Dr. Shubhayan De)
(Northern Arizona University, United States)
The Uncertainty Quantification, Learning, Inference, and Design (UQLID) Lab at Northern Arizona University’s Department of Mechanical Engineering is excited to announce an immediate opening for a fully funded Ph.D. position. This position offers a monthly stipend and support for conference and workshop travel. If you have a Bachelor’s or Master’s Degree in Mechanical, Civil, Aerospace Engineering, or Engineering Mechanics, and expertise in scientific machine learning, multi-fidelity methods, computational mechanics, and uncertainty quantification, we invite you to apply for this exciting opportunity.
Position: Ph.D. Student
Eligibility/Qualification:
Candidates should meet the following criteria:
- Educational Background: Bachelor’s or Master’s Degree in Mechanical, Civil, Aerospace Engineering, or Engineering Mechanics.
- Expertise: Experience in one or more of the following topics: scientific machine learning (SciML), multi-fidelity methods, computational mechanics, and uncertainty quantification.
- Communication Skills: Strong verbal and written communication skills.
Job Description:
As a Ph.D. student in the UQLID Lab, you will:
- Conduct research in the field of Multi-fidelity Methods for Scientific Machine Learning (SciML).
- Collaborate with a dynamic research team to advance the understanding of SciML.
- Contribute to cutting-edge research in computational mechanics and uncertainty quantification.
- Present research findings at conferences and workshops.
- Pursue a Ph.D. degree in Mechanical Engineering at Northern Arizona University.
How to Apply:
Interested candidates are encouraged to email Dr. Subhayan De at Subhayan.De@nau.edu with the following documents attached:
- Current CV: Detailing your academic background and research experience.
- Cover Letter: Expressing your interest in the position and relevant qualifications.
Application Deadline: 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.
Advance Your Career with UQLID Lab! Apply Now to Contribute to Innovative Research in Scientific Machine Learning.
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