Summary
Riyadh Elm University is seeking an Assistant Professor of Artificial Intelligence for its Computer Science Program in Riyadh, Saudi Arabia. The role combines teaching and student success with building AI and machine learning models, APIs, and data infrastructure, and conducting statistical analysis. Applicants must have a PhD in a related field; teaching experience and experience with curriculum development and assessment are preferred. The position is full-time, with salary commensurate with rank and credentials.
The posting
As published on riyadh.edu.sa. Pulled from the employer's site and shown as they wrote it.
Summary
Company:
Riyadh Elm University
Location:
Riyadh, Saudi Arabia
Department:
COMPUTER SCIENCE PROGRAM
Sub Department:
Artificial Intelligence
Position/Job Title:
Assistant Professor
Gender:
Male / Female
Job Requirment
The University desires applicants with a commitment to the mission; teaching, learning, and student success; integration of learning outcomes assessment into course development and teaching; use of current and emerging technologies to enhance instruction; and integration of global perspectives in instruction.
This is a full-time faculty position. Salary is commensurate with rank and credentials.
JOB POSITION
- Assistant Professor
- Associate Professor
- Professor
JOB DESCRIPTION
- Convert the machine learning models into application program interfaces (APIs) so that other applications can use it
- Build AI models from scratch and help the different components of the organization (such as product managers and stakeholders) understand what results they gain from the model
- Build data ingestion and data transformation infrastructure
- Automate infrastructure that the data science team uses
- Perform statistical analysis and tune the results so that the organization can make better-informed decisions
- Set up and manage AI development and product infrastructure
- Good team player, coordinating with others is a must
Required Qualifications
- Ph.D. in a field related to artificial intelligence
- Data Scientist
- Machine Learning Specialist
Preferred Qualifications
- College and Graduate level teaching experience
- Strong focus on teaching and student success
- Experience with curriculum development and assessment
- Strong oral and written communication skills
- Community college teaching experience
- Experience and/or certification in teaching online and/or hybrid courses
- Experience using technology and learning management systems to effectively facilitate teaching, learning, assessment, and communication
- Experience reviewing assessment data to improve student success
Special Skills:
- Programming Skills in Python, R, Java, and C++ to build and implement models
- Knowledge in Linear Algebra, Probability and Statistics to understand and implement different AI models
- Know about spark and big data technologies
- Understand deep learning algorithms and implement using a frameworks
- Excellent communication and problem-solving skills