Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Cranfield University
- The University of Manchester
- University of Nottingham
- University of Warwick
- Manchester Metropolitan University
- Northeastern University London
- University of Cambridge;
- University of East Anglia
- University of Exeter;
- University of Newcastle
- University of Nottingham;
- University of Oxford
- University of Plymouth
- University of Sheffield;
- University of Surrey;
- 5 more »
- « less
-
Field
-
detection. Validate sensor performance for sensitivity, selectivity, and reproducibility across biological matrices. The successful candidate will work at the interface of electrochemistry, materials science
-
or mechanical engineering background. Experience of experimental aerodynamics, particle image velocimetry, flow or aerodynamic measurements, compressible flow, CAD would be an advantage. As part of this role you
-
We are recruiting highly motivated and enthusiastic doctoral students in the field of synthesis, characterisation and/or modelling of next generation materials for hydrogen storage and compression
-
will go beyond reformulation by developing a mechanistic understanding of how sodium functions within batter and breadcrumb matrices, rather than relying solely on empirical reformulation. It will
-
experience combined compression, tension, and shear while simultaneously undergoing severe thermal gradients. Yet most current material models and design approaches are based on simplified stress states and
-
of material properties in short-fibre reinforced thermoplastics with different polymer matrices, such as polyamides, polyphenylene sulphide, and isotactic polypropylene. The study will focus on ageing induced
-
manufacturing. Your work will capture compressible gas dynamics, heat transfer, free-surface/melt behaviour, and mass transfer driven by phase change within a GPU-accelerated solver to reduce simulation
-
, compressible flow, aerodynamic analysis and optimisation would be an advantage. Broader experience of engineering computational modelling and optimisation methods would also be and advantage. As part of
-
-hardware co-design of neural architectures, memory hierarchies, and communication systems Model compression and optimization (pruning, quantization, knowledge distillation) for edge deployment FPGA- and ASIC
-
About the Project An exciting PhD project on the effects of heat transfer of transitional compressible boundary layers will be carried out under the UK Hypersonics Doctoral Network, which has been