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Software Engineering PhD Projects, Programs & Scholarships in Edinburgh

We have 17 Software Engineering PhD Projects, Programs & Scholarships in Edinburgh

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Showing 1 to 10 of 17
  Signal Processing and Machine Learning for microendoscopy sensing for in vivo pharmacology
  Dr J Hopgood, Dr KD Dhaliwal
Application Deadline: 21 October 2019

Funding Type

PhD Type

As part of a recently awarded EPSRC grant, in partnership with GSK, we are seeking an engineering student with strong signal processing, image processing or machine learning qualifications and skills to develop algorithms to improve the quality of data received from an imaging and sensing system called Kronoscan.
  Object Detection and Tracking Using High-Speed 3D Image Sensors
  Dr I Gyongy
Application Deadline: 29 June 2020

Funding Type

PhD Type

3D image capture by existing LIDAR and Time-of-Flight (ToF) sensors is typically limited to relatively low frame rates due to bottleneck issues in the data readout and/or the necessity for optical scanning to cover a sufficiently large field of view.
  Multiscale modelling of shale gas flows
  Dr M Borg, Dr L Gibelli
Application Deadline: 30 September 2019

Funding Type

PhD Type

The University of Edinburgh is seeking an excellent student to award a prestigious PhD scholarship to investigate the behaviour of methane gas inside porous rock media.
  I/O and storage for extreme scale multi-physics multi-scale simulations of aero engines
  Dr M Weiland
Application Deadline: 31 October 2019

Funding Type

PhD Type

Engineering simulations, in particular multi-physics and multi-scale whole engine simulations, such as those targeted by the ASiMoV Prosperity Partnership…
  Doctor or Engineering (EngD): Electro-optic devices for extreme LIDAR in highly dynamic environments
  Prof D Reid
Application Deadline: 30 January 2020

Funding Type

PhD Type

Project Description. LIDAR / LADAR has become widespread in recent years, and uses pulse lasers to make time of flight measurements in order to build up a digital model of a scene.
  Human-Robot Interaction (HRI) in Construction
  Dr F Bosche, Dr S Smith
Application Deadline: 31 December 2019

Funding Type

PhD Type

Modern visualisation technologies like Virtual Reality (VR) / Augmented Reality (AR) / Mixed Reality (MR), along with Building Information Modelling (BIM), AI and Robotics are collectively revolutionising the Architectural, Engineering and Construction (AEC) industry.
  New numerical integration approaches for finite element simulations
  Dr S Papanicolopulos
Application Deadline: 21 December 2019

Funding Type

PhD Type

Numerical integration of area and volume integrals (also known as cubature) is a fundamental, but often overlooked, component of many computational techniques in continuum mechanics.
  A unified approach based on semantic models and continuous deep learning to sensor data uncertainty and inconsistency in smart systems - Project ID SOC0025
  Prof X Liu, Dr Z Jaroucheh
Applications accepted all year round

Funding Type

PhD Type

Smart IoT (Internet Of Things) based Applications, such as smart city/building/home and smart factory, are characterized as sensor-driven technology, which has the tendency of producing huge volume of data with increasing velocity.
  A new approach to engineering secure microservices-based applications with blockchain and distributed ledger technologies - Project ID SOC0005
  Dr Z Jaroucheh
Applications accepted all year round

Funding Type

PhD Type

Applications are invited for a self-funded PhD studentship within the School of Computing. The studentship is expected to start on 01 October 2019 but applications are considered year round.
  An AI-driven approach to proactive Internet Of Things (IoT) based systems - Project ID SOC0008
  Prof X Liu
Applications accepted all year round

Funding Type

PhD Type

The Internet of Things (IoT) refers to the ever-growing network of physical objects such as smart devices, vehicles, buildings and other items embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to interact autonomously and intelligently.
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