PhD Studentship: Engineering and Applied Science 1055 views

The Aston Institute of Urban Technology and the Environment (ASTUTE), funded by the School of Engineering and Applied Science at Aston University is inviting applications for a PhD studentship in Deep Learning in Graph Domains for Sensorised Environments.

Duration: 3.5 years

Supervisors: Luis J. Manso, George Vogiatzis

Starting date: October 2019

About the project:

• Classification and prediction of user’s intentions: it can in turn be applied to managing building settings such as lighting conditions or heating systems.
• Activity recognition: it will help understand users’ intentions and feelings, and to detect suspicious and dangerous activities.
• Learning of domain-specific task planning heuristics and useful actions: to enable robots compute plans efficiently in complex settings.

Requirements:

• Applicant should have a first class or upper second class honours degree or equivalent qualification in Computer Science, Electronic Engineering, Mathematics, Physics or similar.
• Preferred skill requirements include knowledge/experience of programming, deep learning, mathematics.

Application:

• Apply online including a research proposal statement and other required documents.