job
Ph.D. position in Topology optimization of frame structures under dynamic loads
Artificial Intelligence Center at the Faculty of Electrical Engineering, Czech Technical University in Prague invites applications for Ph.D. candidates interested in cross-disciplinary research between structural dynamics and mathematical optimization.
Post-Doc/PhD Position *Closed*
This ad is now closed.
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I am looking for a post-doct or PhD student to work on multi-scale defect effects on polycrystalline graphite. The study heavily involves transmission electron microscopy, x-ray CT and modeling. The ideal candidate will have strong background in TEM and experimental mechanics. Please, no need to apply if you dont have these qualifications.
Aman Haque, Professor of Mechanical Engineering, Penn State University
One fully-funded PhD position in computational polymer science
One fully-funded Ph.D. position is now available immediately in the area of computational polymer science in the group of Dr. Jihong Ma (https://sites.google.com/umn.edu/jihong-ma-group/home?authuser=0) at the University of Vermont.
PhD Intern position at Reality Labs (Facebook/Meta)
A great Intern opportunity for a Ph.D. candidate in Computational Rheology to work on advanced AR/VR technologies. The focus of the internship will be on computational modeling and testing of polymer films for a variety of novel/challenging AR and VR applications. We work in a highly collaborative, cross-functional environment, and on a wide variety of applications and materials.
Details and application here: https://www.facebookcareers.com/jobs/400932188103475/
PhD scholarship in multi-physics modeling of 3D printing process for sustainable composite structures at Technical University of Denmark, Department of Wind Energy. Deadline: Jan. 9, 2022
Are you interested in contributing to the development of new manufacturing processes for sustainable composite structures?
If so, the Department of Wind Energy at Technical University of Denmark, Division of Materials and Components invites applicants for a PhD position in the area of multi-physics modeling of 3D printing process for fiber-reinforced polymer composite structures.
To read more abot the PhD position and apply for it visit the following link and use the "Apply online" button. (Deadline Jan. 9, 2022)
PhD Positions at NJIT
We have Ph.D. positions in the Department of Mechanical and Industrial Engineering at the New Jersey Institute of Technology (NJIT) with a primary focus on the mechanobiology of cells and tissues. We are looking for candidates with a background in solid and fluid mechanics to work in a collaborative environment. Our research develops integrated computational and experimental tools to understand and harness the role of mechanics in physiological processes such as wound healing, and pathological processes such as fibrocontractile diseases and tumor progression.
Multiple PhD openings in Atomistic and Multiscale Computational Mechanics at the University of Alabama
Multiple fully funded PhD positions are available as early as Fall, 2022 in Dr. Ning Zhang’s research group at the University of Alabama (Tuscaloosa). The research work will focus on the mechanical and thermal properties of structural and multifunctional materials.
The research topics include:
(1) Polymer composites;
(2) Medium/High entropy alloys;
(3) Biomaterials;
(4) Machine learning.
Postdoc and PhD openings in flexible electronics and smart materials/structures at the University of Connecticut
Multiple postdoc and Ph.D. positions are available in Wang Research lab (https://www.wangresearchlab.com) in the Department of Materials Science and Engineering and the Institute of Materials Science at the University of Connecticut.
Postdoc positions
Qualifications:
· Ph.D. degree in Engineering Mechanics, Electrical or Mechanical Engineering, Material Science, or a closely related area.
Postdoc opening at the Department of Engineering, University of Cambridge
We are looking for an outstanding postdoc for research on statistical finite elements and Bayesian inference in structural/solid mechanics with applications to digital twins.
Candidates should have a strong background in at least two of the following:
- Computational Solid/Structural Mechanics
- Bayesian Inference and Probabilistic Machine Learning
- Uncertainty Quantification
- Constitutive modelling
Additional experience and skills required include: