PHD POSITION FOR IOT - DIGITAL SYSTEMS DEPARTMENT UTH

Home PhD position for IoT - Digital Systems Department UTH

PhD position for IoT - Digital Systems Department UTH

About the Program

The Digital Systems Department (DSD) based at University of Thessaly (UTH) School of Science, is seeking applications for a fully funded PhD program from exceptional Greek/EU/International students with an outstanding academic record, as well as a proven record in research training.

The Digital Systems Department of UTH has realized that industry 4.0 and the Industrial Internet of Things (IIoT) is a rapidly developing area that addresses the proliferation of highly interconnected and ubiquitous embedded devices in environments such as manufacturing, healthcare, and environmental monitoring, improving service quality. This studentship will focus on advancing the understanding of how digitalization transforms industry and future supply chain, investigating the transformation of future supply chain into intelligent future systems by exploring the role of Industry 4.0 and Internet of Things (IoT). Furthermore, the mechanisms of data evaluation, the importance of ethics, the societal value on disruptive digital technologies and the human-machine co-existence model are all research topics to comprehend future industrial economies.

This PhD project will aim to investigate management theories and apply technological advances of dynamic interconnection of massive IIoT devices in a mobile networking environment creating a significant challenge for monitoring, performance, utilization, and security. More specifically it will focus on new aroused issues such as the shifting of the networking infrastructure from the host-centric approach to the dynamic end-to-end approach making the data to be the focal research point. Special case studies will include:

  • New forms of intelligent decision support system methods for industry 4.0 concentrating on the utilization of IIoT for the monitoring and management of environmental studies in quantifying the Net Environmental Impact to support circular strategies.
  • Data learning and cloud-based intelligence from IIoT sensory to monitor and analyze the performance of future inclusive autonomous resource management systems focusing on the security and efficient just-on-time information delivery (critical-type mobile/networked services such as the “Mobility as a Service” (MaaS)).

Application Process and requirements

  • A curriculum vitae;
  • Transcript of records (marks);
  • A research letter discussing a personal vision of the position, with references proposed in the call.
  • Applicants should submit a 1000-word research proposal demonstrating knowledge of existing work in the field, and potential contributions to knowledge. It should also explain the proposed research methods including a tentative plan and timeline of the research.
  • At least, two recommendation letters and a list of references to contact.

Funding Notes

This scholarship is offered on a full-time basis from March 2022 for three years subject to satisfactory progress. It will provide an annual tax-free bursary of €12,000. No tuition fees are imposed.

Application Form

First name *

Last name *

Email *

Mobile *

Nationality *

Country *

Date of birth *

Address *

Postal code *

University *

Department *

Level of studies *

Field of study *

Year Of Studies *

English Language skills, self-assessment according to CEFR https://rm.coe.int/CoERMPublicCommonSearchServices/DisplayDCTMContent?documentId=090000168045bb52 *

Write your motivation letter or link your motivation video here. *
The motivation letter or video should include at least your motivation for taking the course and how you plan to utilize the information you will gain from the course.
Attach File *
* You can upload one zipped file of up to 12 Mb that will contain all required documents for your petition

* Please note that the above mentioned consents are required for participation in the course.