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We have 50 electric vehicles PhD Projects, Programmes & Scholarships

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electric vehicles PhD Projects, Programmes & Scholarships

We have 50 electric vehicles PhD Projects, Programmes & Scholarships

Continuous Manufacture of Materials for Energy Storage

Manufacturing high performance batteries is a key requirement to address the pressing challenges of climate change. Battery technology is critical in enabling electric vehicles and storing renewable energy. Read more

Electrochemo-mechanics modeling and characterization

We are actively recruiting FULLY-FUNDED 2-3 Ph.D. students for electrochemo-mechanics modeling of lithium-ion batteries. The length scale spans from atomic, molecular, and continuum levels (covering energy materials, electrode, cell, module, pack and electric vehicles). Read more

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

4-year EPSRC funded studentships (fees and stipend) are available for eligible applicants. This 4-year programme is delivered by the EPSRC Centre for Doctoral Training in Connected Electronic and Photonic Systems (CEPS CDT), a joint centre between UCL and University of Cambridge. Read more

Masters & PhD in Connected Electronic and Photonic Systems at UCL and Cambridge

4-year EPSRC funded studentships (fees and stipend) are available for eligible applicants. This 4-year programme is delivered by the EPSRC Centre for Doctoral Training in Connected Electronic and Photonic Systems (CEPS CDT), a joint centre between UCL and University of Cambridge. Read more

Hybrid Technologies for Battery Thermal Management Using Smart Materials

Electric vehicles (EVs) are powered by lithium-ion batteries (LIBs) with many advantages such as high specific energy, long cycle life, wide range of operating temperature, and low self-discharge rates. Read more

Advanced digital signal processing for condition monitoring for rotative electrical machines

The production of electric energy from wind technology has experience great advances in the later years. It is estimated that the potential of wind energy in the world is between 20.000 x 106 and 50.000 x 106 MWh/year, whereas the energy consumption is about 15.000 x 106 MWh/year. Read more

Causal Machine Learning in Aerospace PhD

This PhD project will investigate the recent field of study of Causal Machine Learning, which aims to modify and augment Machine Learning by using Causal Analysis techniques as a way to solve its limitations. Read more

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