University of Doha for Science and Technology (UDST) is the first national applied University in the State of Qatar, offering applied bachelor’s and master’s degrees in addition to certificates and diplomas in various fields. UDST has over 50 programs in the fields of Engineering Technology and Industrial Trades, Business Management, Computing and Information Technology, Health Sciences, Continuing and Professional Education and more.

With more than 600 staff and over 7,000 students, UDST is the destination for top-notch applied and experiential learning. The University is recognized for its student-centered learning and state-of-the-art facilities. Our faculty are committed to delivering pedagogically-sound learning experiences with the incorporation of innovative technological interventions, to further enhance students’ skills and help develop talented graduates that can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

The University of Doha for Science and Technology (UDST) invites applications for a Post-Doctoral Fellow position as part of our pioneering research project "Enhancing Programming Course Outcomes through Gamification and AI-driven Personalized Learning: An Innovative Approach in Qatar's Educational Landscape". This role focuses on revolutionizing programming education by fusing advanced gamification and Artificial Intelligence (AI) technologies to foster engaging, effective, and personalized learning experiences.

Key Responsibilities

• Research and Development: - Lead the literature review on AI-driven personalized learning and gamification in programming education. - Develop a comprehensive framework integrating gamification and AI-driven personalized learning in programming education. - Design and develop the AI-driven personalized learning system. - Develop and tune AI models using appropriate learning algorithms.
• Project Implementation: - Conduct pilot testing in real-world programming education settings. - Analyze user feedback for system improvements. - Evaluate the system's effectiveness through data analysis and user feedback.
• Collaboration and Teamwork: - Work with a multidisciplinary research team. - Supervise and guide undergraduate students and research assistants. - Collaborate in research synthesis, publication, and dissemination.
• Dissemination: - Present findings at national and international conferences. - Publish in high-impact journals. - Engage in workshops and lectures for broader outreach.

Qualifications

- PhD in Computer Science, Educational Technology, AI, or related fields. - Experience in AI, machine learning, and gamification. - Strong publication record. - Proficiency in relevant programming languages and frameworks. - Excellent analytical and research skills. - Effective communication and teamwork abilities.

Application Procedure

Applications must be in English and sent electronically as PDF files. Each file's maximum size is 10 MB. 1. CV: (File name: CV, Surname, Ref. number) - Complete list of publications. - Previous research experiences. - Two references for letters of reference/recommendation. 2. Cover Letter: (File name: Personal letter, Family name, Ref. number) 1-3 pages including: - Self-introduction. - Summary of previous research and main results. - Discussion of qualifications, experience, and skills relevant to the job. - Description of future goals and research focus.