Doctoral Studentship: Internet of Things (IoT) Vacancy

Full Time Council for Scientific and Industrial Research (CSIR) in Public Entities
  • Post Date: Jul 27, 2022
  • Apply Before : Aug 16, 2022
  • View(s) 0

Job Details

  • Qualifications Master’s Degree
  • Industry Research, science & technology
  • Reference 311985
  • Centre Pretoria
  • Enquiries
    For more info, please email us at [email protected] Please do not send your application to this mailbox, it is only for inquiries.
  • Where to submit application
  • Notes
    IMPORTANT: Please ensure that all the above required individual documents are combined into a single PDF document before submitting. Closing date: 16 August 2022 PLEASE NOTE THAT FEEDBACK WILL BE GIVEN TO SHORTLISTED CANDIDATES ONLY.

Job Description

About the job: The CSIR has one Doctoral Studentship opportunity 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. Research areas: Candidates must position their proposed topic within one of the five thematic areas listed below. Although certain specific topics of interest are suggested within each thematic area, candidates can propose any other topic of personal interest in any thematic area. Internet of Things (IoT) in smart grids Design and implementation of IoT-based smart grid emulators Development of an effective microgrid implementation framework Implementation of next generation IoT communication systems for smart grids Transactive energy (TE) Electrical stability and economic viability of transactive energy systems. Design and analyses of efficient communication systems for integrating TE in smart grids. TE-based smart grid power system modelling Development of TE controllers for smart grids. Edge intelligence in smart grids Integration of edge intelligence capabilities in IoT-based smart grid systems Implementation of edge intelligence architectures for smart grids DC Nangorids Development of innovative mist computing systems for DC nanogrids Application of machine learning in DC nanogrids Standards, communication protocols, and technologies for DC nanogrids Modelling and characterization of smart grid systems Channel modelling and characterization for smart grid applications Improved data transmission techniques in smart grid networks. Key responsibilities: Prepare a research proposal to be approved by both the CSIR and the university; Prepare a written literature overview of the current state-of-the-art relevant to the research topic; Perform original research to solve the open research problem that will be identified by the student in his/her proposal. Produce sufficient quantity and quality of peer-reviewed publications based on the identified research topic. Compile 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 or electronic engineering, or computer science; 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: A mini proposal of the candidate’s research statement/philosophy (maximum two pages) with the following clear subsections: Title, a brief background, the problem statement, research questions, research objectives and expected outputs/outcomes/impact in any of the thematic research areas mentioned above. 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

Council for Scientific and Industrial Research (CSIR)
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