Overview:University of Doha for Science and Technology (UDST) was officially established by the Emiri Decision No13 of 2022, and it is the first national university specializing in academic applied, technical, and professional education in the State of Qatar. UDST has over 70 bachelor's and master's degree programs, diplomas, and certificates. The university houses 5 colleges: The College of Business, the College of Computing and Information Technology, the College of Engineering and Technology, the College of Health Sciences, and the College of General Education, in addition to specialized training centers for individuals and companies. UDST is recognized for its student-centered learning and state-of-the-art facilities. Its world-renowned faculty and researchers work on developing the students’ skills and help raise well-equipped graduates who proudly serve different sectors of the economy and contribute to achieving human, social, and economic development goals nationally and internationally.
With more than 700 staff and over 8,000 students, UDST is the destination of choice for 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 that incorporate innovative learning technologies. Our aim is to enhance students’ skills and help develop talented graduates who can effectively contribute to a knowledge-based economy and make Qatar’s National Vision 2030 a reality.

• Generous academic annual leave
• Tax free salary
• Fully furnished upmarket accommodation (inclusive of utilities: water & electricity)
• Annual flights for spouse and 3 children (up to 18 years old)
• Children’s education allowance
• Relocation/Shipping allowance
• Professional development opportunities
• International health insurance
• In-house immigration services (to help you through the residency process)
• Full access to our recreational facilities
• Research and professional development support

The College of Computing and Information Technology (CCIT) 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.
Responsibilities: Your Commitment
The primary role of the faculty members at the College of Computing and IT is to promote high-quality applied learning, innovative research, and service. Besides, he/she should collaborate with the college management and the rest of faculty to achieve the college's mission, deliver academic programs, pursue research, and engage in several administrative and academic services.
Reporting to the Department Head, the successful candidate will be responsible for the development, delivery and evaluation of a broad range of courses within Data Science and Artificial Intelligence. Particular areas of interest include Machine Learning, Deep Learning, Visualization and Intelligent Interaction, Industrial and Business Analytics, Io T Software and Systems, and Io T Intelligence and Automation, but candidates with strong expertise in other areas related to Data Science and Artificial Intelligence will also be considered. Other duties include evaluation of student progress and management of resources of the learning environment. The successful candidate will liaise with industry and other educational institutions; participate in industry advisory committees and coordinate, manage and control projects within the specified program area. Faculty members will keep course portfolio documents required for accreditation processes and engage in instructional development/improvement plans. All faculty are expected to contribute to professional and community life within the university and beyond.
Qualifications: Education and Experience Requirements
Faculty members will be placed in the appropriate rank based on their education and experience (academic and/or industry). The broad criteria are provided below.
Education
Ph D and a Master's degrees 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 a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
• An active research agenda evidenced by high-quality publications in top tier journals and conference proceedings.
• Demonstrated leadership in building engagement and partnership 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, and Vocational Education) is preferred.
• 6+ years of employment experience as a practitioner/professional within the relevant discipline.
• Experience in leadership and innovation in technology-based projects.

For Associate Professor
Experience

• A minimum of 8 years teaching experience in a post-secondary, adult training or industry training environment, along with preferably 3 years of employment experience as a practitioner/professional within the relevant discipline.
• A distinguished research record and international reputation evidenced by high quality publications in mainly top tier journals.
• Excellent record of supervising research students.
• Demonstrated leadership in building engagement and partnership 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, and Vocational Education) is preferred.
• 10+ years of employment experience as a practitioner/professional within the relevant discipline.
• Teaching experience in post-secondary, adult training, or industry training environment.
• Experience in leadership and innovation in technology-based projects.

Other Required Skills:

• A thorough knowledge and work experience in Machine Learning, Deep Learning, Natural Language Processing, Statistical Learning and Modeling, and Io T applications. Candidates with strong expertise in other areas of Data Science and Artificial Intelligence will be considered as well.
• Commitment to applied and experiential learning as a pedagogy and a key feature of UDST’s mandate.
• Ability to design, develop, deliver, and evaluate authentic learning experiences and assessments. These should incorporate contemporary tools and resources to maximize content learning in context, and to develop the knowledge, skills, competences and attitudes identified in program outcomes.
• Digital literacy and demonstrated fluency in technology systems, and an ability to model and facilitate use of current and emerging digital tools to support research and learning.
• Demonstrated ability to develop technology-enriched learning environments that enable students to be active participants in their own learning.
• Commitment to the effectiveness, vitality, and self-renewal of the teaching profession through self-driven continuous professional development and life-long learning.
• Effective oral and written communication skills.
• Collaborative and collegial spirit and a demonstrated ability to establish rapport with learners, colleagues, sponsor-employers, and members of the community.
• Ability to initiate applied research projects.

How to Apply
Applicants must meet all essential qualifications in order to be shortlisted for the position; other qualifications may be a deciding factor in the selection. Qualifications and experience will be assessed through your application, which may include but not be limited to curricula vitae, mock lectures, motivation letter, references, teaching dossiers and sample publications. It is the applicant’s responsibility to provide appropriate examples that illustrate how s/he meets each requirement. Failing to do so could result in the application being rejected. We thank all applicants for applying for the role; only those selected for further consideration will be contacted.