PhD Studentship: Towards Internet of Robotic Things
Cranfield University - Materials and Manufacturing
|Funding for:||EU Students, International Students, Self-funded Students, UK Students|
|Funding amount:||£9,000 to £18,000|
|Placed on:||13th September 2016|
|Expires:||13th December 2016|
Manufacturing Informatics Centre
Application deadline: Ongoing
Start Date: 6th February 2017
Eligibility: UK, EU, International
Duration of award: 3 years
Dr. Hongmei He – Lecturer in Cyber Security for Manufacturing and Information Intelligence
Professor Ashutosh Tiwari – Head of Manufacturing Informatics Centre
Self-Sponsored fee: £9000/pa for UK/EU students, £18000/pa for overseas students for three years
Internet of Things, Machine Learning and Robotics are high priorities for developers in 2016. The concept of the Internet of Robotic Things (IoRT) (ABI Research) has been raised by integrating the three priorities, where intelligent devices can monitor events, fuse sensor data from a variety of sources, use local and distributed “intelligence” to determine a best course of action, and then act to control or manipulate objects in the physical world, and in some cases while physically moving through that world. It will also examine the many ways IoT technologies and robotic “devices” intersect to provide advanced robotic capabilities, along with novel applications, and by extension, new business, and investment opportunities.
The PhD aims to train the next generation of innovators in the growing field of IoT enabled Robotics and Autonomous Systems (RAS), one of the UK’s Eight Great Technologies for future growth.
This PhD allows the student to explore the latest technical trends and challenges in robotics, and it will enhance the student’s ability to tackle complex intellectual and practical aspects of real robotic techniques, machine learning and IoT technology with advanced sensor technologies.
The student will be based Manufacturing Informatics Centre, which is a part of the Manufacturing and Materials Department at Cranfield University.
Applicants should have a first or upper second class UK honours degree or equivalent in a related discipline, such as robotics /cybernetics /electronic and computer engineering/Computer Science related disciplines. Overseas candidates should have equivalent degree in the disciplines above. It would be better to have MSc degree in relevant areas and industry experience. The ideal candidate should have
1. Good analytical and numerical skills with a well-rounded academic background.
2. Ability to develop machine learning algorithms and/or cloud platform.
3. Ability to develop robotic systems.
4. Ability to analyse and solve problems.
5. Background in programming, such as MatLab, C++, Java and/or Python.
6. A professional and self-motivated work attitude is essential for successful candidates
7. Skills to provide high quality presentations and publish academic papers
8. English capability required by the UK board agency for overseas students
How to apply:
For further information please contact: Dr. Hongmei He, E: firstname.lastname@example.org, T: (0) 1234 75 8206
If you are eligible to apply for the research opportunities, please complete the online application form For further information contact us today: School of Aerospace, Transport and Manufacturing
T: 44 (0)1234 758008
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South East England