PhD Studentship in Internet of Things (IoT)
Computer Science,Computer Science,Software Engineering,Information Systems,Artificial Intelligence,Engineering and Technology,Electrical and Electronic Engineering
Short info about job
Hours: Full Time
Type / Role: PhD
Phone: +44-1249 3232696
Fax: +44-1347 1302124
E-mail: N\A
Site: N\A
Detail information about job PhD Studentship in Internet of Things (IoT). Terms and conditions vacancy
Invisible Systems
Closing Date: This position is open until filled, early submissions are encouraged.
Stipend: A studentship is for 36 months with a £15,000 per annum stipend for UK/EU students due to funding availability.
Topic
A fully funded 3 year PhD Studentship is available to work on Data-driven techniques for Adaptive Large-scale Internet of Thing (IoT) systems. IoT systems are formed by workflows orchestrated by heterogeneous sensor and application types, and are positioned to become key technologies for catalysing strategic industries for the creation of autonomous vehicles, smart homes, and healthcare. The ability to conduct IoT system orchestration at scale is still within its infancy, and faces numerous research barriers in performance, scalability, energy-efficiency, and dependability.
The aim of this project is to investigate methods for data-driven adaptation of IoT systems, and explore how to achieve automatic and intelligent re-orchestration of IoT systems in response to system behaviour.
Requirements
Candidates should have a 1st class degree (or equivalent) in computer science or a closely related discipline with an interest in distributed systems, machine learning or networking. Good programming skills is an essential requirement. Experience in system orchestration, sensor networking, and IoT systems is an advantage, although not required.
This project will require a hands-on approach and the expectation is that a self-motivated candidate with excellent interpersonal skills will perform internationally leading research work and produce top quality publications. This doctoral research project will be supervised by Lancaster University and Invisible Systems and is part funded by the European Regional Development Fund.”
Application details
To apply for this opportunity please apply by email to [email protected] with the subject “Data-driven IoT Systems” and include:
- A CV (2 pages maximum)
- Cover letter
- Research proposal (2-page maximum)
- University grade transcripts
Lancaster University
Lancaster University is ranked among the top ten universities in the UK. We have invested over £450m into our campus in the last ten years, including our new Engineering building, the refurbishment of the Library, Physics and Chemistry facilities and a £20m sports centre and facilities, with a further £135m investment planned.
The School of Computing and Communications ranked 12th amongst the computer science departments in the UK (REF 2014), and delivers programmes in the disciplines of computer science, communication systems, data science and cyber security. Our ethos is to combine research excellence with practical, experimental approaches to equip you with the knowledge and skills to achieve your career aspirations.
Contact Us
For informal enquires applicants should contact Dr Peter Garraghan.
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