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Umístění: Domov / Technika / Assistant/Associate Professor in Data Science / Artificial Intelligence

Assistant/Associate Professor in Data Science / Artificial Intelligence

techserving |
2428

The beautiful and culturally progressive State of Qatar is home to the world-class post-secondary institution, College of the North Atlantic-Qatar (CNA-Q).Internationally recognized as a comprehensive technical college, CNA-Q is committed to high quality, student-centered education.This commitment is reflected through state-of-the-art facilities, accessible and responsive technology programs and strong partnerships with industry. CNA-Q will soon be transformed into a National University.

With more than 600 staff and over 5,000 students, CNA-Q is one of Qatar’s largest post-secondary institutions offering over 50 different level program (Diploma, Bachelor, and Master’s), through student-centred learning. By providing training in a range of technical areas including Engineering Technology, Health Sciences, Industrial Trades, Business Studies and Computing & Information Technology, CNA-Q brings the State closer to the goals of Qatar National Vision 2030.

The School of Computing and Information Technology (SCIT) invites applications for positions at the level of Assistant / Associate Professor in Data Science and Artificial Intelligence.The School offers several trendy programs such Bachelor of Applied Science in Data Science and AI (AI & Data Analytics, AI & IoT), Bachelor of Applied Science in Data & Cyber Security (Ethical Hacking, Cyber Defense, Industrial Control Systems Security, Cyber Security Policy and Governance), Bachelor of Applied Science in Information Systems (Software Development, Mobile & Web Development, and Database Design & Administration), and Bachelor of Applied Science in Information Technology (Computer Systems, Network Systems, and Cloud Computing & Big Data).

Duties & Responsibilities:

The primary role of the faculty members at the School of Computing and IT is to promote high-quality innovative teaching, applied research, and services. Besides, he/she should collaborate with the Head of Department, School's Dean, and the colleagues to achieve the department's and School's mission, mentor junior colleagues, and teaching assistants, and support the department and the School with several administrative and academic services.

Reporting to the Department Chair, 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, IoT Software and System, and IoT Intelligence and Automation, but candidates with strong expertise in other areas of 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 employees are expected to contribute to professional and community life within the College and beyond.

Required Qualifications:

For Assistant Professor

A PhD degree in Data Science and Artificial Intelligence or closely related field. Three years teaching experience in a higher-education environment, along with three years of employment experience as a practitioner/professional within a relevant discipline is preferred. Candidates should also be recognized in the following criteria:

For Associate Professor

A PhD degree in Data Science and Artificial Intelligence or closely related field. A minimum of 5 years teaching experience in a higher-education environment is required. Also, 5 years of Industrial experience as a practitioner/professional within a relevant discipline is preferred. Candidates should also be recognized in the following criteria:

Preferred Qualifications:

Other Required Skills:

How to Apply:

Applications should be submitted via our online application portal.

You must meet all essential qualifications in order to be appointed to the position. Other qualifications may be a deciding factor in choosing the person to be appointed. Some essential and other qualifications will be assessed through your application, which may include (but need not be limited to) curricula vitae, cover letters, references, teaching dossiers, and sample publications. It is your responsibility to provide appropriate examples that illustrate how you meet each qualification. Failing to do so could result in your application being rejected.

We thank all those who apply. Only those selected for further consideration will be contacted.