Timings:
Education:
- MSc. in Computer Science, AI, Machine Learning, or a closely related field
Technical Skills:
- Expert knowledge of AI, ML, and DL concepts and algorithms
- Proficiency in programming languages like Python and R
- Experience with major AI/ML frameworks (e.g., TensorFlow, PyTorch, Keras)
- Familiarity with big data technologies (e.g., Hadoop, Spark)
Research Experience:
- Strong publication record in peer-reviewed journals and conferences
- Experience in managing research projects
- Demonstrated ability to conduct independent research
Teaching Experience:
- Previous experience teaching AI/ML/DL courses at university level
- Ability to develop and update curriculum for rapidly evolving fields
Industry Collaboration:
- Experience or willingness to participate in industry-academia collaborations
- Understanding of practical applications of AI/ML in various sectors
Soft Skills:
- Excellent communication skills for teaching and presenting research
- Ability to mentor graduate students and junior researchers
- Collaborative mindset for interdisciplinary research projects
Additional Requirements:
- Commitment to staying current with latest advancements in AI/ML/DL
- Willingness to contribute to departmental activities and committees