Deep Learning and Knowledge Management

The Department of Mechanical & Aerospace Engineering at the University of Strathclyde (Glasgow, UK) is looking for a motivated student to be enrolled in their PhD program.

Project Aims and Objective

The proposed research is aimed at developing a database of knowledge and lessons learned from the design of space systems by making use of modern techniques such as Natural Language Processing and Deep Learning. To build these kind of knowledge databases a very lengthy process of interviews and manual collection and organisation of data is required. The proposed research project aims to automatically infer this knowledge from existing datasets of components and/or mission studies reports as well as freely available online resources.

The project is a first step towards the development of a Design Engineering Assistant (DEA). The DEA, will provide support to the engineer for quick assessment studies, and running in the background will provide real-time feedback to the actions taken by the spacecraft designer. The intelligent agent is not intended to replace the human in the design process but rather to enhance his perception of the problem and possible solutions through the quickly evaluations of different alternatives.

The enrolled student will have the opportunity to collaborate on a complimentary project with another PhD candidate at the European Space Agency.

Qualifications

Master degree in computer science, applied mathematics or aerospace/electronics and electrical engineering

Experience

Experience in the field of machine learning, deep learning and database management is desirable

Starting date

October/November 2017

Student eligibility

UK and EU students.

Contact

Annalisa Riccardi (name.surname@strath.ac.uk)