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Multiple Ph.D. positions open

Submitted by Osama R. Bilal on

The lab of Wave Engineering for eXtreme and Intelligent matTEr (We-Xite) has multiple openings for Ph.D. positions. We are looking for exceptional and highly motivated candidates with background in Engineering, Physics, Materials or Mathematics. The research will have a balance between experimental characterizations (non-destructive evaluation of samples fabricated using additive and subtractive methods), numerical simulations (finite element modeling) and analytical derivations (nonlinear dynamics of spring-mass systems). Interested applicant should send a brief (one paragraph) description of their research interests and their resumes (including educational background, test scores and experience). Please send your emails to we.xite.group [at] gmail.com

Ph.D. Positions in Design Optimization and Fracture Modeling at Drexel University

Submitted by arnajafi on

There are two open Ph.D. positions in the MCMB Lab starting in the Spring term of the academic year 2022-2023, or in the Fall term of the academic year 2023-2024. One of these positions is in design optimization, and another position is in the fracture analysis of engineering/biological composites. Qualified candidates must have:

 

Postdoctoral Positions in the Damage-Healing Modeling of Autonomous Self-healing Concrete Structures

Submitted by arnajafi on

The Multiscale Computational Mechanics and Biomechanics Lab (MCMB Lab) at Drexel University is seeking for two immediate postdoctoral positions to conduct research on modeling fracture and healing phenomena in autonomous self-healing concrete structures. Looking for motivated postdoctoral candidates with great communication skills interested in computational damage/healing analysis to develop computational frameworks.

Essential Functions

Ph.D and Post-doc positions open at Northeastern University, Boston

Submitted by Yaning Li on

Ph.D position is available for Fall 2023 on mechanics of mechanical metamaterials, bio-inspired engineering, and additive manufacturing (3D/4D printing). Candidates with background in mechanics of materials, Finite element analysis, and mechanical experiments are all welcome to apply. Earlier admission (starting from the summer) is also possible. It is a position in the department of Mechanical and Industrial Engineering at Northeastern University, Boston.

Post-doctor positions in wave hydrodynamics

Submitted by Min Luo on

Postdoc positions are available in Dr Min Luo’s group (https://person.zju.edu.cn/en/minluo) at the Ocean College of Zhejiang University, China (ranked #45 in QS Global World Rankings 2022). Those holding a PhD degree in the areas of Computational Fluid Mechanics and Civil/Hydraulic/Ocean Engineering are welcome to apply.

1.    Project description

Postdoc position in machine learning for solid mechanics

Submitted by A.Tabarraei on

We are looking for a highly motivated postdoctoral researcher to join our team in the Department of Mechanical Engineering at the University of North Carolina at Charlotte. The ideal candidate will have a Ph.D. in Mechanical Engineering, Civil Engineering, Aerospace Engineering, Computer Science, or a related field, with expertise in the area of machine learning and (computational) solid mechanics.

Postdoc in mechanics of woven and fiber-based materials at the University of Pittsburgh

Submitted by iasigal on

We are looking for a highly motivated postdoc to join our team to study the mechanics of woven or fiber-based materials. Applicants should have expertise in mechanics of materials with long fibers. These can be artificial, like textiles and fabrics, or natural, like soft tissues including tendon or heat valves.  Experience in multi-scale methods is advantageous.  Experimental or computational are both welcome.

PhD position in Machine Learning and Physical Simulation at Aarhus University, Denmark

Submitted by Alessandro Luc… on

I am looking for a PhD student to join my group - Computational Physics and Machine Learning - at Aarhus University to work on the ERC project ALPS - AI-based Learning for Physical Simulation. The goal of the research is to develop a new generation machine learning and simulation algorithms that are able to automatically build interpretable models of physical systems starting from experimental data. These algorithms will be applied in the contexts of biological systems, human health, fluid dynamics and engineering.