SayPro Doctoral Studentship Internshipet of Things (IoT)

Research areas: Possible research areas include (but not limited to): • Materials and device simulation; • Materials synthesis; • Materials and device characterization; • Micro and Nano device fabrication and testing; • Sensor device instrumentation; • Bio and chemical sensors systems; • Medical microsystems; • Artificial Intelligence for IoT. Key responsibilities: • Prepare research proposal to be approved by both the CSIR and the university; • Prepare 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 the student identified in his/her proposal; • Produce sufficient quantity and quality of peer-reviewed publications based on this 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 physics, electronic physics, materials or electronic engineering; • Good knowledge and experience in both computational and experimental physics; • Adequate knowledge of semiconductor and device physics; • Expertise in hands-on running of materials characterisation, either electron microscopy (SEM, TEM), X-ray instruments (XRD, XRF), or optical instruments (UV-Vis, FTIR, PL etcetera.); • Knowledge of any Computer Aided Design (CAD) software is desirable; • Experience in the use of semiconductor fabrication instruments (e-beam or photo lithography, for example) will be advantageous; • The ability to generate research questions and hypotheses: Review, critique and synthesize a body of research, identify significant gaps in knowledge, identify appropriate 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.