Doctoral Studentship: Internet of Things (IoT) – Smart Grid Systems (Pretoria)

Doctoral Studentship: Internet of Things (IoT) – Smart Grid Systems


About the job:

The CSIR has two Doctoral Studentship opportunities in the Emerging Digital Technologies for Fourth Industrial Revolution (EDT4IR) Research Centre, within the Next Generation Enterprises and Institutions Cluster. The Doctoral student needs to conduct original research in Internet of Things (IoT) for Smart Grid Systems. This opportunity is based in Pretoria.

For more information about the Group and the Cluster, please visit, https://www.csir.co.za/advanced-internet-things and https://www.csir.co.za/nextgen-enterprises-and-institutions


Research areas:

Possible research areas include (but not limited to):

  • DC micro-grids;

  • Transactive energy;

  • Machine learning/Deep learning and Fog/Edge computing;

  • Smart Grid network security;

  • Digital Twin;

  • Modelling and characterization of Smart Grid systems;

  • Next generation communication systems for Smart Grid networks.


Key responsibilities:

  • Preparing research a proposal to be approved by both the CSIR and the university;

  • Preparing a written literature overview of the current state-of-the-art relevant to the research topic;

  • Performing original research to solve the open research problem that the student identified in his/her proposal;

  • Producing sufficient quantity and quality of peer-reviewed publications based on this research topic;

  • Compiling the Doctoral thesis and defending the work successfully;

  • Contribute to extra activities that may be outside the scope of the doctoral research as per the needs of the research group. The amount of such work shall be limited to 20% of the total time.


Qualifications, skills and experience:

  • A Master’s degree in computer/electronic engineering, computer science or related fields;

  • The ability to generate research questions and hypotheses: Review, critique and synthesize a body of research, identify significant gaps in knowledge, methods and study subjects to develop research questions and testable hypotheses;

  • Effectively communicate issues, research findings and implications of research verbally and in writing to appropriate professional and public audiences;

  • Enthusiastic and self-motivated individual who takes ownership, initiative, and with a willingness to learn;

  • The ability to work well under pressure both as part of a team and independently;

  • Good programming skills in related software, preferably Python/C++/MATLAB;

  • Good knowledge of Smart Grid systems and other enabling technologies, particularly Internet of Things and Artificial Intelligence;

  • A good peer-reviewed publication record will be advantageous.


Applicants must attach the following documents:

  • An abstract of research statement/philosophy (maximum two pages) that highlights the problem statement, research questions, research objectives and expected outputs/outcomes/impact of the research;

  • Certified copies of the applicant’s latest academic results or transcript;

  • Certified copies of tertiary qualifications;

  • Curriculum vitae;

  • If applicable, proof of registration from the university or a confirmation letter from the university supervisor that she/he is willing to be involved in the candidate supervision.


Closing date: 25 May 2022



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