Data Science
1 hour ago
**JAIN (Deemed-to-be University)**
Ranked among the top universities in India and considered a cerebral destination for students across the world and Bangalore in particular, for its illustrious history of developing talent, JAIN (Deemed-to-be University) is a hub for learning in every sense of the word.
What makes JAIN (Deemed-to-be University) different is its outlook towards life, its values and beliefs. Its ever-evolving and open-minded system and quest for continued success and resilience, has made it one of the top universities in India.
**School Of Sciences (SOS )**
School of Sciences is an exclusive hub for undergraduate, postgraduate, and research studies, which in addition to the department of Physics, houses the departments of Biochemistry, Biotechnology, Microbiology, Data Analytics & Mathematical Sciences, CS& IT and Psychology. With state-of-the-art infrastructure, the institution offers excellent academic studies and a research ambience. The wide range of programmes strives for excellence in intellectual inquiry, academic freedom and integrity, and ethical practice in academic endeavours.
**Job Overview**:
**1. Assistant Professor Department of Data Science & Analytics.**
**Key Responsibilities**:
- Academic teaching at U G / P G level Program
- Placements and industry connect, Student counselling, institutional admissions and administration
- Evaluation of test papers, prepare exercises, lessons and lab experiments for the students.
- Develop and implement innovative, instructional methods and professional logistics to improvise student performance
- Participate in curriculum development activities, serve on graduate
committees, and supervise laboratories, independent study activities and
off-campus learning such as workshops /seminars and internships.
- Serve and support functional activities of departmental committees, assess, review
and evaluate student activities and progress.
**Qualifications**:
- Ph.D. in Computer Science / Data science
- B.Sc. / B C A, M.Sc. / M C A in Computer science-CS& IT
Schedule:
- Day shift
**Experience**:
- total work: 1 year (preferred)
Work Location: In person
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