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Semiconductors (systems engineering) PhD Projects, Programs & Scholarships

We have 44 Semiconductors (systems engineering) PhD Projects, Programs & Scholarships

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  EPSRC Centre for Doctoral Training in Delivering Quantum Technologies

Funding Type

PhD Type

4-year PhD programme in quantum technology and quantum systems engineering. • Quantum technologies involve control and manipulation of quantum states to achieve results not possible with classical matter, transforming measurement, communication and computation.
  Anti-reflecting and Anti-soiling coatings for solar panel cover glass
  Prof M Walls, Dr P Isherwood
Applications accepted all year round

Funding Type

PhD Type

The provision of clean, sustainable energy is one of the greatest challenges facing modern society and solar photovoltaics (PV) provide the best opportunity for rapidly expanding renewable energy.
  PhD in Engineering: Germanium-Tin Single Photon Detectors for LIDAR and Quantum Key Distribution
  Dr R Millar, Dr V P Georgiev
Application Deadline: 31 January 2020

Funding Type

PhD Type

Project overview. In this fully funded project (3.5 years) you will develop next-generation single photon avalanche diodes (SPAD) detectors for autonomous vehicle LIDAR and Quantum Key distribution applications, in a collaborative project that includes both industry and academia.
  Nanoscale quantum physics and quantum information processing with electrons and atoms in semiconductor quantum dots
  Research Group: Inorganic Semiconductors
  Dr E Chekhovich
Applications accepted all year round

Funding Type

PhD Type

Nanoscale semiconductor structures have attracted considerable attention for potential applications in quantum information processing, energy harvesting, and photonics.
  Development of next generation thin film solar cells
  Prof M Walls, Dr J Bowers
Applications accepted all year round

Funding Type

PhD Type

The provision of clean, sustainable energy is one of the greatest challenges facing modern society and solar photovoltaics (PV) provide the best opportunity for rapidly expanding renewable energy.
  PhD in Engineering: Developing the next generation of gravity sensors for volcanic eruption forecasting
  Dr R Middlemiss
Application Deadline: 28 February 2020

Funding Type

PhD Type

In this project you will develop a new type of gravity sensor that will be used to help forecast volcanic eruptions. You will be involved in the design, fabrication, and field testing (at Mt Etna, Sicily) of this cutting-edge technology.
  Autonomous Implantable Sensors/Actuators on Commercial MEMS and CMOS platforms
  Dr A Mohammadi
Application Deadline: 25 March 2020

Funding Type

PhD Type

Informal enquiries. Dr Ali Mohammadi ([email protected]). Supplying electrical power to the sensor nodes from alternative energy sources is a key enabling factor for future applications of wireless sensor networks such as Internet of Things (IoT).
  Computer Architectures for Probabilistic Robotics/Autonomous Systems Applications
  Dr P Stanley-Marbell
Applications accepted all year round

Funding Type

PhD Type

The Physical Computation Laboratory is seeking a PhD student to work on a project developing new **Computer Architectures for Probabilistic Robotics/Autonomous Systems Applications**.
  Programmable Lab-on-chip Devices in Magnetic MEMS for Medical Diagnostics and Biotechnology
  Dr A Mohammadi
Application Deadline: 25 March 2020

Funding Type

PhD Type

Informal enquiries. Dr Ali Mohammadi ([email protected]). Miniaturisation of sensors and actuators in micro-electromechanical systems (MEMS) has greatly benefitted many modern technologies including smart phones, medical devices and implants, high precision sensors etc.
  EPSRC-SFI Centre for Doctoral Training in Advanced Metallic Systems – Call for Applications for 4-year Funded PhD and EngD Studentships

Funding Type

PhD Type

We are looking for one hundred STEM graduates excited to improve the world via impactful research in new and novel metallic materials for power generation, transport, sustainability and recyclables, in a rapidly evolving digital manufacturing era using advanced computing techniques.
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