• Teach the principles of artificial intelligence including machine learning algorithms, neural networks, natural language processing, and computer vision.
• Supervise students in implementing AI models and data science projects using Python, TensorFlow, and other relevant tools.
• Conduct research on predictive modeling, deep learning, reinforcement learning, and big data analytics.
• Train students in data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
• Develop teaching materials on ethical AI, explainability, and responsible AI practices.
• Guide students in the application of AI and data science to solve real-world problems.
• Collaborate with industry partners on AI-driven innovation and data analytics consulting.
• Setting, moderating, invigilating and marking examinations.

REQUIREMENTS: PARTTIME LECTURER

• Applicants should hold a PhD or a master's degree qualification in a relevant field from a recognized academic institution; and possess vast teaching or industry experience at undergraduate/postgraduate levels.
• Applicants must have served as a Lecturer or equivalent industry experience in a university or institution recognized by the Senate of JOOUST.
• Demonstrate potential for university teaching and/or research;
• At least two (2) years teaching experience in a university.
• Master's holders registered for PhD may be considered
• Be registered with the relevant professional body as required by the field of specialization.

TERMS AND CONDITIONS OF SERVICE

The successful candidates will be offered a competitive remuneration package in accordance with the existing Terms and Conditions of Service.

• Teach the principles of artificial intelligence including machine learning algorithms, neural networks, natural language processing, and computer vision.
• Supervise students in implementing AI models and data science projects using Python, TensorFlow, and other relevant tools.
• Conduct research on predictive modeling, deep learning, reinforcement learning, and big data analytics.
• Train students in data preprocessing, feature engineering, model evaluation, and hyperparameter tuning.
• Develop teaching materials on ethical AI, explainability, and responsible AI practices.
• Guide students in the application of AI and data science to solve real-world problems.
• Collaborate with industry partners on AI-driven innovation and data analytics consulting.
• Setting, moderating, invigilating and marking examinations.

• Python
• TensorFlow
• Machine Learning
• Neural Networks
• Natural Language Processing
• Computer Vision
• Predictive Modeling
• Deep Learning
• Reinforcement Learning
• Big Data Analytics
• Data Preprocessing
• Feature Engineering
• Model Evaluation
• Hyperparameter Tuning
• Ethical AI
• Explainability
• Responsible AI Practices

• PhD or a master's degree qualification in a relevant field from a recognized academic institution.
• Vast teaching or industry experience at undergraduate/postgraduate levels.
• Served as a Lecturer or equivalent industry experience in a university or institution recognized by the Senate of JOOUST.
• Demonstrated potential for university teaching and/or research.
• At least two (2) years teaching experience in a university.
• Master's holders registered for PhD may be considered.
• Registered with the relevant professional body as required by the field of specialization.