Assistant/ Associate Professor-Data Science

University of Doha for Science & Technology

Responsibilities

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

PhD 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 IoT
  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.