Gandaki University's MIT-AI Program Seeks Subject Experts
Gandaki University has announced an exciting opportunity for experts in the field of Information Technology and Artificial Intelligence. The university is currently preparing a roster of subject experts for its Masters of Information Technology-Artificial Intelligence (MIT-AI) program. This initiative is aimed at enhancing the academic and practical aspects of the program by involving specialists in various roles.
Opportunities for Experts in Diverse AI Fields
The university is inviting applications from individuals with a master's degree or higher in relevant subjects. The roles include:
- Teaching and course agreement
- Curriculum development
- Preparation and revision of question papers
- Answer sheet testing
- Other academic and administrative tasks
Wide Range of Subjects Open for Expert Participation
Experts are needed for a variety of subjects within the MIT-AI program, such as:
- Core AI Subjects: Including Deep Learning, Natural Language Processing, and Artificial Intelligence.
- Specialized Topics: Such as AI in E-Governance, AI and Health, and AI for Rural Development.
- Emerging Technologies: Covering areas like Quantum Computing, Geometric Deep Learning, and IoT (Smart Computing).
- Interdisciplinary Areas: Including AI and Climate Change, AI and Agriculture, and AI in Material Science.
Application Process and Deadline
Interested candidates should submit their academic qualification certificates and personal details to the Dean's Office of Gandaki University by Saturday, January 13, 2024. Submissions can also be sent via email to [email protected].
Subject Areas Invited for Roster:
- Python Programming with Data Science
- Statistical Machine Learning
- Artificial Intelligence
- Discrete Optimization
- Research Methodology
- Deep Learning
- Algorithms for Graph and Networks
- Ethics of AI
- Natural Language Processing
- Computer Vision
- Business Analytics and IT Strategies
- Research Project
- Dissertation
- Genetics Science
- Big Data Analytics
- Human Computer Interaction
- Predictive Modeling Elective II
- Fuzzy System
- AI in E–Governance
- Geometric Deep Learning
- Quantum Computing
- Human Brain Deductive Reasoning
- IoT (Smart Computing)
- AI and Information Security
- Intelligent Information Retrieval
- Robotics Design
- Recommendation System
- Social Media Mining
- AI for RS/GIS
- Generative AI
- AI and Agriculture
- AI and Tourism
- AI and Rural Development
- AI and Health
- AI and Climate Change
- AI and Society
- AI and Material Science
Notice Published Date: Thursday, 28 December 2023
