Assistant Professor (School of Computer Science & Applications) - REVA University - Bengaluru, Karnataka
India
almost 3 years ago
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Summary
Qualification
BCA / Bsc., MCA / MSc., and Ph.D.
Specialization in
Image Processing, Block Chain, Cyber Security, Software Engineering, Data Science, Python, R Programing, Artificial Intelligence, Machine Learning, Cloud Computing, Web Development. Animation
Key requirements
Good academic record with at least 60% marks (or an equivalent grade in a seven-point scale wherever grading system is followed) at the Master’s Degree level in a relevant subject.
Good academic record with a Ph.D. Degree in the relevant disciplines.
Curriculum development
Academic administration
Student Mentoring
Knowledge and Skills Required
A keen sense of enquiry to result in innovation with a view to create an impact
A teacher-researcher (or vise-versa) with an openness to attain proficiency in the other area
A willingness to unlearn and re-learn
Faith and commitment to an interdisciplinary approach to learning and teaching
Well networked with respected senior academicians in ones area of interest both in India and abroad
Experience in and/or keenness towards Institution building activities
Excitement about research towards offering composite solutions to the industry
Connecting closely with the industry with a view to swiftly adapt syllabus and/or content and in so doing, making our students job ready and distinctly unique viz-a viz their peers
Create and deliver globally relevant courses with emphasis on experiential learning
Collaborative approach towards learning, teaching, research and functioning.
Be instrumental in challenging the way students think, learn and develop their understanding of academic disciplines.
Develop core curriculum and deliver course material effectively.
Publishing research, attending conferences, and delivering presentations to build a strong research network.
Writing proposals to secure research funding.
Organizing seminars and events to interact with established industry professionals.
Reviewing methods and teaching materials to make recommendations for improvement.
Supervising, advising and mentoring teaching assistants and graduate students.
Guiding and mentoring research scholars.
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