Academic Advisor - Doctoral Research

Specialization: Artificial Intelligence | Machine Learning | Cybersecurity

At UniAthena, we are redefining the landscape of higher education for the digital age. As a global, digital-first institution, we provide a sophisticated learning platform for senior executives, business owners, and C-suite leaders from over 100 countries. We don't just teach; we bridge the gap between advanced computational theory and real-world business transformation. We are looking for technical scholars who are ready to step out of the lab and into a global mentorship rolehelping the world's most influential leaders turn AI and Cybersecurity challenges into doctoral-level breakthroughs.

We are seeking technically proficient scholars (MTech/PhD) for a full-time remoteacademic role. This position bridges the gap between high-level computational research and global executive strategy. You will mentor a diverse, multinational cohort of C-suite executives and business owners, guiding them through doctoral coursework and applied research. This is an ideal opportunity for a researcher to build a high-profile academic career with a global footprint, all while maintaining a pulse on industry-scale AI and Security challenges from a flexible, remote environment.

• Virtual Technical Facilitation: Lead high-impact, virtual doctoral research on AI, IT, CS, ML, etc. focusing on how these technologies solve high-stakes enterprise problems.
• Remote Research Supervision: Assist senior supervisors in refining candidates research methodologies via digital collaboration platforms, focusing on data-driven models, algorithmic transparency, and digital resilience.
• The Digital Academic Bridge: Serve as the primary technical liaison for a global cohort, ensuring their industry insights are successfully translated into scholarly work through structured virtual mentorship.
• Resource Engineering: Create high-quality digital learning assets, including research templates, course modules, and technical articles tailored for an asynchronous remote learning system.
• Global Scholarly Progression: Drive learner retention across different time zones by providing proactive, critical-friend feedback on technical assignments and dissertation drafts.
• Remote Academic Citizenship: Engage in virtual departmental committees, review research work, organize conferences, develop webinars, and contribute to the publication output.

• Required: MTech/ME in Artificial Intelligence/ Machine Learning/ AI & ML/ Cyber Security/ Information Security/ Data Science/ Computer Science and Engineering (CSE)/ Information Technology (IT)/ Business Analytics/ Software Engineering/ Computational and Data Sciences
• Highly Preferred: PhD (completed or in the final stages) in Artificial Intelligence, Machine Learning, Cybersecurity, or Data Science.
• Domain Depth: Robust knowledge of neural networks, ethical AI, or advanced threat intelligence, with the ability to view these through a management/business lens.

• Teaching/Facilitation: 35 years of experience is preferred, but we highly value candidates with experience as Teaching Assistants or Lecturers.
• Remote Proficiency: Demonstrated ability to use virtual tools to manage engagement and facilitate complex technical discussions.
• Research Output: A strong foundation in academic writing with a track record of (or clear potential for) publishing in high-impact, indexed journals.

• Executive Presence (Virtual): The ability to communicate complex technical concepts to non-technical C-suite leaders with clarity and a professional, neutral accent over video conferencing.
• Global & Growth Mindset: Cultural sensitivity to work with multinational learners and a willingness to master the art of doctoral supervision under senior faculty mentorship.
• Self-Management: As a remote role, the candidate must be highly motivated, organized, and capable of managing global learner cohorts independently.

• Global Network: Mentor top-tier business leaders from around the world without geographical constraints.
• Flexibility: Work from anywhere while contributing to cutting-edge applied research.
• Career Growth: Transition from a technical researcher to a globally recognized academic lead in the executive education space.