Assistant / Associate Professor - Data Science and Artificial Intelligence

Overview

University of Doha for Science and Technology (UDST) invites applications for the position of Assistant / Associate Professor in Data Science and Artificial Intelligence. Exceptional candidates at the rank of Full Professor would also be considered. UDST was established by Emiri Decision No13 of 2022 and is the first national university in Qatar specializing in applied, technical, and professional education. UDST offers over 70 bachelor’s and master’s degree programs, diplomas, and certificates across five colleges : College of Business, College of Computing and Information Technology, College of Engineering and Technology, College of Health Sciences, and College of General Education. The university emphasizes student-centered learning and has state-of-the-art facilities. Our faculty are committed to delivering pedagogically sound experiences that prepare graduates to contribute to a knowledge-based economy and to Qatar’s National Vision 2030. Eligible employees enjoy competitive compensation and benefits in accordance with UDST policies, including : Generous academic annual leave Tax-free salary Fully furnished upmarket accommodation (utilities included) Annual flights for spouse and up to 3 children (up to 18 years old) Children’s education allowance Relocation / Shipping allowance Professional development opportunities International health insurance In-house immigration services for residency processes Full access to recreational facilities Research and professional development support Responsibilities

The College of Computing and Information Technology (CCIT) invites applications for the position of Assistant / Associate Professor in Data Science and Artificial Intelligence. The successful candidate will develop, deliver, and evaluate a broad range of courses within Data Science and AI. Areas of interest may include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, IoT Software and Systems, and IoT Intelligence and Automation; candidates with strong expertise in other related areas will also be considered. Other duties include evaluating student progress, managing learning resources, liaising with industry and other educational institutions, participating in industry advisory committees, and coordinating projects within the program area. Faculty members will maintain course portfolio documents for accreditation and engage in instructional development. All faculty are expected to contribute to professional and community life within the university and beyond. Education and Experience Requirements

Faculty members will be placed at the appropriate rank based on education and experience. The broad criteria are provided below. Education PhD and a Master’s degree in Data Science and Artificial Intelligence or closely related field from an internationally recognized university with an undergraduate degree from an accredited university. For Assistant Professor

Experience

A minimum of 3 years teaching experience in post-secondary, adult training, or industry training environments, with preferably 3 years as a practitioner / professional in the relevant discipline. An active research agenda with publications in top-tier journals and conference proceedings. Demonstrated leadership in engaging with the profession and industry. Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence. Diploma in Education (e.g., Post-secondary Education, Adult Education, Vocational Education) is preferred. 6+ years of professional experience in the field. Experience in leadership and innovation in technology-based projects. For Associate Professor

Experience

A minimum of 8 years teaching experience in post-secondary, adult training, or industry training environments, with preferably 3 years as a practitioner / professional in the field. Distinguished research record and international reputation with publications in top-tier journals. Excellent record of supervising research students. Demonstrated leadership engaging with the profession and industry. Preferred Qualifications

Professional Certification in Data Science and Artificial Intelligence. Diploma in Education (e.g., Post-secondary Education, Adult Education, Vocational Education) is preferred. 10+ years of professional experience in the field. Teaching experience in post-secondary, adult, or industry training environments. Experience in leadership and innovation in technology-based projects. Other Required Skills

Thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and IoT applications. Commitment to applied and experiential learning as a pedagogy. Ability to design, develop, deliver, and evaluate authentic learning experiences using modern tools. Digital literacy and fluency with technology systems and digital tools to support research and learning. Ability to create technology-enriched learning environments and foster active student participation. Commitment to ongoing professional development and lifelong learning. Strong oral and written communication skills. Collaborative and collegial spirit with the ability to establish rapport with learners, colleagues, sponsor-employers, and the community. Ability to initiate applied research projects. How