Research Assistant/ Associate Professor Artificial Intelligence Research Center

Title: Research Assistant/Associate/Professor in Artificial Intelligence Research Center JOB DESCRIPTION The Deanship of Research and Graduate Studies at Ajman University invites applications for a full-time research faculty position (Research Assistant/Associate/Professor) in the Artificial Intelligence Research Center (AIRC) for Spring 2026/2027 . The successful candidate will conduct cutting-edge research in AI, contribute to teaching, secure external funding, and actively engage with academic, industry, and community stakeholders to advance the university’s strategic goals. Key Responsibilities Research & Publications Conduct innovative research in Artificial Intelligence, including but not limited to: Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Robotics, AI Ethics, and Explainable AI. Publish in high-impact, Scopus-indexed Q1/Q2 journals and top-tier AI conferences (e.g., NeurIPS, ICML, CVPR, ACL). Present research findings at national and international conferences and symposia. Teaching & Supervision Deliver courses and workshops in AI-related disciplines (e.g., algorithms, data science, AI ethics, intelligent systems). Mentor and supervise graduate/undergraduate students in AI research projects, theses, and capstone initiatives. Grants & Funding Develop and submit competitive grant proposals to secure external funding from governmental, industrial, and international agencies (e.g., UAE AI initiatives, Horizon Europe, NSF). Manage funded projects and ensure alignment with institutional and grant requirements. Service & Engagement Organize workshops, seminars, and conferences to promote AI innovation and knowledge exchange. Foster collaborations with industry partners (e.g., tech firms, healthcare, smart cities), government entities, and global academic networks. Enhance the visibility of Ajman University and the AIRC through public engagement, media outreach, and thought leadership. Required Qualifications & Experience A Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a closely related field from a globally recognized institution. Strong publication record in high-impact AI journals/conferences, with a demonstrated h-index and citation impact. Proven experience in teaching AI-related courses and supervising student research at undergraduate/postgraduate levels. Prior success in securing and managing external research grants is highly desirable. Skills & Competencies Expertise in programming languages (Python, R, Java) and AI frameworks (TensorFlow, PyTorch, Keras). Proficiency in big data tools (Hadoop, Spark), cloud platforms (AWS, Azure), and AI deployment practices (MLOps). Familiarity with ethical AI principles, regulatory standards, and interdisciplinary applications (e.g., healthcare, sustainability). Excellent communication skills in English (Arabic is an advantage). Leadership abilities to drive collaborative, cross-disciplinary projects. Application Process Interested candidates must submit: A cover letter detailing alignment with the role. A comprehensive CV including research, teaching, and grant experience. A publication list highlighting Q1/Q2 journals and top AI conference papers. Contact information for three professional references. Notes Only shortlisted candidates will be contacted for interviews. Applications lacking required documents will not be considered

Ph.D. in Computer Science, Artificial Intelligence, Data Science, or a closely related field from a globally recognized institution. Strong publication record in high-impact AI journals/conferences, with a demonstrated h-index and citation impact. Proven experience in teaching AI-related courses and supervising student research at undergraduate/postgraduate levels. Prior success in securing and managing external research grants is highly desirable.

Research & Publications: Conduct innovative AI research (Machine Learning, Deep Learning, NLP, CV, Robotics, AI Ethics, Explainable AI); publish in high-impact, Scopus-indexed journals and top-tier AI conferences; present findings at national/international venues. Teaching & Supervision: Deliver courses/workshops in AI-related disciplines; mentor/supervise graduate and undergraduate students in AI research projects. Grants & Funding: Develop and submit grant proposals to secure external funding; manage funded projects. Service & Engagement: Organize workshops/seminars/conferences; foster collaborations with industry, government, and global academic networks; engage with media and public outreach.