الملخص
تعلن Riyadh Elm University عن شاغر أستاذ مشارك في الذكاء الاصطناعي في الرياض، المملكة العربية السعودية. يتولى شاغل الوظيفة تدريس مقررات الذكاء الاصطناعي وتعلّم الآلة والتعلّم العميق لمرحلة البكالوريوس، وتطوير المناهج والإشراف على أبحاث الطلبة. وتشمل المهام إجراء البحوث، وتعزيز التعاون مع جهات القطاع، وترسيخ الممارسات الأخلاقية في الذكاء الاصطناعي. يُشترط الحصول على الدكتوراه في الذكاء الاصطناعي أو علوم الحاسب أو علم البيانات أو تخصص ذي صلة، مع سجل بحثي قوي في تعلّم الآلة والتعلّم العميق وخبرة في تدريس المرحلة الجامعية.
نص الإعلان
كما نُشر على riyadh.edu.sa. نقلناه من موقع صاحب العمل ونعرضه بنصّه الأصلي.
Summary
Company:
Riyadh Elm University
Location:
Riyadh, Saudi Arabia
Department:
COLLEGE OF TECHNOLOGY AND BUSINESS
Sub Department:
ARTIFICIAL INTELLIGENCE
Position/Job Title:
Associate Professor
Gender:
Male / Female
Job Requirment
Associate Professor in General Artificial Intelligence, with a specialization in Machine Learning (ML) and Deep Learning (DL). The selected candidate will play a key role in shaping the future of AI education and research, contributing significantly to the undergraduate Artificial Intelligence program.
We seek candidates with a strong academic and research background in AI, capable of inspiring undergraduate students, conducting cutting-edge research, and building strong industry partnerships.
Key Responsibilities:
- Design and deliver high-quality undergraduate courses in Artificial Intelligence, Machine Learning, and Deep Learning, ensuring strong conceptual and practical understanding.
- Develop hands-on learning experiences using real-world datasets, open-source AI tools, and frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Mentor and guide students through research projects, final-year capstones, and innovation-based assignments aligned with current industry trends.
- Continuously update curriculum content to reflect the latest advancements in AI and prepare students for evolving roles in technology and research sectors.
- Conduct impactful research in core AI areas and involve undergraduate students in research labs, internships, and publications.
- Build connections with industry to create opportunities for student internships, project collaborations, and career pathways.
- Promote responsible and ethical AI practices by integrating fairness, transparency, and bias mitigation into teaching and project work.
- Support departmental academic activities, such as organizing student workshops, AI competitions, and community outreach programs to enhance student engagement.
Required Qualifications:
- PhD in Artificial Intelligence, Computer Science, Data Science, or a closely related field.
- Strong research record in ML/DL with publications in top-tier AI venues.
- Proven experience in undergraduate teaching and curriculum development.
- Ability to supervise research and lead academic projects.
- Evidence of securing or contributing to research grants.
Preferred Qualifications:
- Experience in interdisciplinary AI applications (e.g., healthcare, robotics, finance, NLP, computer vision).
- Prior collaboration with industry or government on AI projects.
- Demonstrated leadership in academic or research environments.
- Familiarity with ethics, bias mitigation, and fairness in AI systems.