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%)- The worker will integrate digital twin technologies and third-party cybersecurity tools to enhance platform realism and threat coverage. The responsibilities include provisioning and managing cloud
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, Edge and Fog Computing SDN/NFV IoT protocols IoT architectures Digital Twin Network Security Smart Applications Device/Edge and Cloud based Machine Learning Position Type Academic Position Type Academic
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and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine learning algorithms. With a passion
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, testing, and deploying software packages for edge, desktop, enterprise, and/or cloud computing platforms. Experience with databases including database and/or API design. Proficiency in high-level object
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software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine
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. Qualifications A PhDin Information Security, Cybersecurity, Computer Science, or a closely related discipline is preferred. Candidates should have relevant industry experience in cybersecurity, ideally in roles
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software development from the analytical and methodological perspective of an engineer. Students build advanced design and engineering skills, enhance their knowledge in cloud computing, and develop machine
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Bachelor’s degree in Computer Science, Information Technology, Business, or related field; technical certifications in relevant areas (e.g., cloud platforms, business analysis, AI/ML, digital solutions
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, Blockchain, Cloud Computing, Software Engineering, as well as Data Architecture & Engineering. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected
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models (LLMs), including prompt engineering, context management, and implementation strategies for enterprise applications. Cloud Computing: Experience deploying and scaling AI systems in cloud