SOFTWARE ENGINEERING PROFESSOR

Description

Job Summary: We are seeking a qualified and motivated instructor to deliver Software Engineering courses focused on AI and Machine Learning, preparing students for the technology industry. Key Highlights: 1. Deliver Software Engineering courses focused on AI and Machine Learning 2. Develop innovative pedagogical content and supervise projects 3. Stay updated with trends and advancements in AI and technologies We are looking for a highly qualified and motivated instructor to teach Software Engineering courses. The professional will train students and professionals who wish to deepen their knowledge in Artificial Intelligence and Machine Learning, preparing\-them to face the challenges of the rapidly evolving technology market. **Responsibilities:** Plan, prepare, and deliver theoretical and practical lectures on artificial neural networks, deep learning, advanced architectures, and their applications. Develop innovative pedagogical content, including reading materials, case studies, hands\-on exercises, and laboratory projects. Supervise students in academic projects, applied research, and capstone projects, encouraging innovation and critical thinking. Evaluate student performance, providing detailed feedback and promoting continuous improvement. Collaborate with other faculty members and research teams on interdisciplinary projects. Stay updated with trends and advancements in AI, deep learning, computer vision, NLP, and other emerging technologies. **Requirements:** Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, or related fields; postgraduate qualification or equivalent experience in AI is highly desirable. Proven experience in developing and implementing neural networks (MLP, CNN, RNN, LSTM, Transformers, GANs, etc.). Proficiency in programming languages such as Python and deep learning frameworks (TensorFlow, PyTorch, Keras). Ability to clearly and effectively convey complex concepts. Excellent communication, organizational, and academic mentoring skills. **Preferred Qualifications:** Experience in academic research, scientific publications, or participation in AI conferences. Experience in hybrid or online teaching using active learning methodologies. Knowledge of applied NLP, computer vision, robotics, or autonomous systems projects. Participation in innovation projects, startups, or technology industry applications in AI.