Associate Professor of Machine Learning in BML Munjal University Gurgaon - Faculty360.com
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Associate Professor of Machine Learning in BML Munjal University Gurgaon
  • Posted 01 Sep 2018
  • Role Associate Professor
  • Job Type Full Time
  • Experience 12 - 15 years

Job Description:

  • A combined experience of teaching, research and institution building
  • Passionate commitment to discipline and the ability to transfer this enthusiasm to one's students
  • Set a personal example to ones students through ones belief in ethics and values demonstrated through their regular practice
  • A keen sense of enquiry to result in innovation with a view to create an impact
  • A teacher-researcher or vice-versa with a 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
  • Process driven
  • Collaborative approach towards learning, teaching, research and functioning

Basic Details:

  • Area of Specialization: Computer Science Engineering
  • Functional Area: Teaching Faculty
  • Salary: Remuneration will not be a constraint for exceptional candidates

Education & Experience Requirements

Education Requirements

Degree Course Minimum Marks required
Ph.D Computer Science Engineering -
  • Ph.D. in relevant discipline is mandatory.
  • Must be from a reputed institution in India or abroad.
  • Post Ph.D. experience of 12 - 15 years.

Application Process

Interested candidates can apply now using Apply button and we will contact you if your resume get shortlisted.

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