Power Management Methodologies for IoT Edge Devices

Primary supervisor

Additional information

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Other projects with the same supervisor

Funding

  • Competition Funded Project (European/UK Students Only)
This research project is one of a number of projects at this institution. It is in competition for funding with one or more of these projects. Usually the project which receives the best applicant will be awarded the funding. The funding is available to citizens of a number of European countries (including the UK). In most cases this will include all EU nationals. However full funding may not be available to all applicants and you should read the full department and project details for further information.

Project description

Internet of Things (IoT) applications interact with the physical world through a multitude of sensors and actuators. These sensors and actuators require appropriate power supply which is different from the power supply used in microcontrollers (MCU) and processor architectures. In addition, to accommodate the vastly different data rates required by the disparate IoT applications and the limited energy budget as many of the IoT devices rely on batteries, the processing circuits, aiming the IoT domain, are designed to support many operating points, thereby requiring a wide range of voltage supply [1]. State-of-the-art power management circuits (PMIC) already support few tens of power supplies [2] and this demand can further increase as more sensors and actuators augment consumer electronics and more broadly IoT devices.
This situation brings new challenges to the problem of power management which this project aims to tackle. Thus, the objective is to propose novel components and design methodologies for the future PMIC where the efficiency of the DC-DC conversion and regulation circuits is maintained (or improved) while all of the components of the PMIC are integrated on-chip [3], [4], [5]. In addition, the new PMIC should consider emerging packaging technologies, such as the interposers [6] that offer an enhanced platform for reducing the form factor of the IoT devices as interposers enable the dense integration of sensors, MCUs, and PMIC in the same package.
The student will develop knowledge in circuits relating to voltage conversion and regulation and/or in power management algorithms and techniques for a large variety of workloads and system operating points. That is the project will emphasize either the circuit or system level design of PMIC or both, depending on the skills of the interested candidates. The student will gain expertise in the design of PMIC, a critical component in the markets of consumer electronics (including tablets and smartphones), IoT edge devices (MCU and IoT processors), and automotive (Advanced Driver-Assistance Systems (ADAS)).

Person specification

Essential

Applicants will be required to evidence the following skills and qualifications.

  • Good written and oral communication skills, able to promote ideas by logical argument and capable of presenting the results of a project in a clear and effective manner
  • A degree (or equivalent experience) in Computer Science, Electronic Engineering, Maths, Physics, Data science or a similar relevant science or engineering or technical subject.
  • Awareness of emerging trends and developments in relevant technologies, gained through project work as part of a relevant degree, extra-curricular project work or employment experience
  • Self-motivated, with the drive and initiative to carry out projects according to plan, and the ability to quickly adapt in a fast-changing environment
  • Strong programming skills, with confidence and independence in programming complex systems
  • Ability to rapidly acquire new skills and to work with new technologies with little documentation or support
  • An informed knowledge of and passion for IoT technologies

Desirable

Applicants will be required to evidence the following skills and qualifications.

  • Ability to work as part of a multi-disciplinary team
  • Previous academic or industry experience in Natural Language Processing or Human-Computer Interaction.
  • Sound time and resource management skills and be able to lead, motivate and direct support staff and contractors contributing to the project
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