Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
- SciLifeLab
- Ghent University
- Utrecht University
- Fraunhofer-Gesellschaft
- Chalmers University of Technology
- DAAD
- Nature Careers
- University of Southern Denmark
- University of Utah
- ETH Zurich
- Erasmus University Rotterdam
- Monash University
- NTNU - Norwegian University of Science and Technology
- Technical University of Denmark
- Technical University of Munich
- University of Copenhagen
- 6 more »
- « less
-
Field
-
computational mechanics of composite materials, and should be enthusiastic to work in a collaborative project between industry and academia.Vacancy 3: PhD (4 years) or postdoc (3 years) on mechanical modelling
-
computational simulations and data analysis from our collaborative experimentalists. The members of the group provide a balanced mixture of postdocs, PhD students, and undergraduate students. We conduct curiosity
-
engineering challenges. Currently, three postdocs and about 15 PhD students are working within our main research areas: Lightweight materials and structures, multi-phase and metallic materials, Process modeling
-
events , working with schoolteachers or children Membership of the MacDiarmid Emerging Scientists Association (MESA ), run by students and postdocs, which organises additional activities. Each scholarship
-
of models in existing simulation software conducting numerical studies, also on HPC systems Further specific tasks can be tailored to the attitude and interests of the PhD students/postdocs. Requirements
-
PhD student(s) will join a vibrant team of postdocs, academics, and up to four PhD students working collaboratively across modelling, qualitative fieldwork, and optimisation techniques. PhD Research
-
Materials Science are found in the areas of: Human-Technology Interaction Form and Function Modeling and Simulation Product Development Material Production and in the interaction between these areas
-
:100% of the full-time weekly hours Tasks: The PhD student will be responsible for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs
-
drier with global warming. However, particularly in the vulnerable subtropical and mid-latitude regions, the state-of-the-art climate models produce simulations that differ not only in the magnitude, but
-
for the modeling and simulation of 3D reconfigurable architectures e.g. based on emerging technologies (e.g. RFETs, memristive devices), and the evaluation with e.g. machine learning and image processing benchmarks