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Postdoctoral Position in Phase Field Modeling of Oxide Film Growth

Submitted by AnterEl-Azab on

The Materials Theory Group at the School of Materials Engineering of Purdue University has a postdoctoral opening in the area of phase field modeling of oxide film growth. The postdoc will use the phase field approach to investigate the growth of metal oxide films in an oxidizing environment, emphasizing the film grain morphology, composition, and stress distribution. The ideal candidate will have a strong background in phase field modeling with elastic effects and excellent computational skills. For inquiry, please email Professor Anter El-Azab (aelazab [at] purdue.edu). This position is part of a collaborative project with a materials research and software development company, and it will be available as early as April 1, 2021. The position will remain open until filled. Interested candidates can send a curriculum vita with list of publications, about half a page statement of research interests, and the names and contact information of at least two references. The Materials Theory Group performs theoretical and computational research in the areas of dislocation dynamics and mesoscale plasticity, radiation effects in materials, phase field method and applications to microstructure evolution in materials, phonon and electron thermal transport in crystalline solids, and computational methods for materials science and mechanics.
EEO/AA Policy:
Purdue University is an EOE/AA employer. All qualified individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.
Department Website https://engineering.purdue.edu/MSE

Postdoctoral Position in Phase Field Modeling of Oxide Film Growth

Submitted by AnterEl-Azab on

The Materials Theory Group at the School of Materials Engineering of Purdue University has a postdoctoral opening in the area of phase field modeling of oxide film growth. The postdoc will use the phase field approach to investigate the growth of metal oxide films in an oxidizing environment, emphasizing the film grain morphology, composition, and stress distribution. The ideal candidate will have a strong background in phase field modeling with elastic effects and excellent computational skills. For inquiry, please email Professor Anter El-Azab (aelazab [at] purdue.edu). This position is part of a collaborative project with a materials research and software development company, and it will be available as early as April 1, 2021. The position will remain open until filled. Interested candidates can send a curriculum vita with list of publications, about half a page statement of research interests, and the names and contact information of at least two references. The Materials Theory Group performs theoretical and computational research in the areas of dislocation dynamics and mesoscale plasticity, radiation effects in materials, phase field method and applications to microstructure evolution in materials, phonon and electron thermal transport in crystalline solids, and computational methods for materials science and mechanics.
EEO/AA Policy:
Purdue University is an EOE/AA employer. All qualified individuals, including minorities, women, individuals with disabilities, and veterans are encouraged to apply.
Department Website https://engineering.purdue.edu/MSE

Opening at MIT Department of Mechanical Engineering on Biomedical Device Development

Submitted by Sahab Babaee on

The Traverso Laboratory is seeking a PhD-level mechanical/biomedical engineer to join the team focused on the development of novel gastrointestinal devices for treatment of major diseases. This includes technologies such as drug delivery systems, smart pills and stents, soft actuators, and ingestible electronics. The ideal candidate will have extensive experience designing and analyzing mechanical systems and materials for biological application. The major responsibilities will include the preparation of detailed design, design testing, and prototype fabrication.

PhD Scholarships in Computational Mechanics and Machine Learning, School of Civil and Environmental Engineering, UNSW Sydney, Australia

Submitted by vahab65 on

Professor Nasser Khalili's research group at the School of Civil and Environmental Engineering, UNSW Sydney, Australia (https://www.engineering.unsw.edu.au/civil-engineering/staff/nasser-khal…), is looking for several PhD students on the following topics:

 

1) Computational Mechanics of Multiphase Porous Materials

2) Geo-structure Health Monitoring and Predictive Maintenance

3) Computational Fracture Mechanics

Postdoc in Mechanics/Tribology of Triboelectric Nanogenerators at University of Glasgow

Submitted by Daniel Mulvihill on

Specifically, the post requires expert knowledge in experimental and/or computational mechanics of materials and/or tribology. The position is part of a large international EPSRC-SFI funded project aimed at developing next generation textile triboelectric nanogenerators (or T-TENGs) for powering of wearable electronics.  This position will focus on the mechanics and tribology of T-TENGs and will involve both modelling and experimental work.

10 days left for "Instabilities in structural membranes" Marie Curie PhD position @ University of Trento (Italy)

Submitted by Francesco Dal Corso on
1 PhD position (36 months) within the EID-ITN Marie Curie project LIGHTEN, funded by European Union, is available at the University of Trento (Italy).
The student will be supervised by my colleague Diego Misseroni and myself (Francesco Dal Corso), and two engineers at the English company Tensys (where the student will spend 18 months).
 
If you are interested, please read the below description and the attached announcement before to apply.

Postdoc Position at University of Connecticut

Submitted by Ying Li on

University of Connecticut has an immediate opening for a postdoctoral researcher.  The research project, sponsored by AFRL, concerns uncertainty quantification of manufacturing processes.  Required qualifications include good command of finite element analysis and related programming capability.  Preferred skills include knowledge on meta-modeling and understanding of machine learning.  Please contact Professor Jiong Tang (jiong.tang [at] uconn.edu (jiong[do