Assistant Professor Data Science

3 weeks ago


Noida, India GL Bajaj Institute of Technology and Management Full time

GL Bajaj (Institute of Technology & Mgmt.) – A Glimpse


  • Passionate education provider in multi disciplines at undergraduate and postgraduate level (B.Tech, MBA, MCA)
  • Vibrant Learning Ecosystem on the campus, has inspired and brilliant students.
  • GL Bajaj Group was incepted in year 1997, carrying a winning legacy of 12 institutions running diverse higher education programs.
  • GL Bajaj Group, has +14,000 students, +800 faculty members, 12 institutions, and 6 campuses with +300 acres of land.
  • NAAC A+ accredited, 4 stars from Ministry of Education, NIRF rank holder, Research & Incubation center, Entrepreneurship development and top quality placement for students
  • Vision to give globally competent & socially sensitive professionals to the society.
  • Highly inquisitive students who take risks, experiment, and put novel ideas into action.
  • Sharpens the Technical as well as Life Skills of students – Developing young leaders.
  • Have world class collaborative LEARNING infrastructure for teaching & learning practices.
  • Hiring Distinguished faculty members from the Institutes of repute. We nurture versatile INTRAPRENEURs.
  • Our core belief is in nurturing Diverse, inclusive, equity knowledge gems
  • Hi – Tech Campus has a beautiful, serene environment & students enjoy learning.
  • Believes in relentless change and desire to improve.


We are looking for passionate researchers/out of box thinkers/academicians who have a go-getter attitude, have fire to innovate, works with technology driven progressive mindset and execute the concept of sustainability in each task (paperless) in learning process delivery.


We are offering to the right candidate an excellent compensation package along with the tools and the environment to foster intellect and new ideas.


If you want to CONTRIBUTE meaningful to the society at large, join us & Find your SPARK.


ABOUT JOB


Designation: Associate Professor for subject specialization CSE (Data Science, Deep Learning, Database ).

Job Purpose & Role: To teach, research and serve the institution for academic, institutional & student’s growth & development.


A)Knowledge

  • To develop and teach undergraduate and graduate courses in Machine Learning, Statistics, Data Mining, Big Data, Deep Learning, Natural Language Processing (NLP), Computer Vision or related areas.
  • Proven experience in teaching undergraduate and/or graduate courses in Data Science or related areas, with a commitment to innovative pedagogical approaches.
  • Have an ability to stay abreast on the latest emerging trends and technologies in Data Science such as Generative AI, Quantum Computing, Big Data on the Cloud.
  • To stay abreast of developments in the field of Data Science through continuous learning, attending conferences, and networking with peers.
  • To make best use of technology in teaching learning methodology.
  • Proven experience of excellent delivery of the subject for the students by active or activity based learning, real-life problem solving approaches in content delivery and achieve the best results/awards/positions in the university.
  • To fulfill responsibility concerning students in respect of instruction, progress, and examination.
  • To meaningfully engage students in class, seminars, workshops, conferences, events, applied subject knowledge projects.
  • To conduct cutting-edge research in CSE, publish findings in reputable journals and conferences, and pursue external funding to support research activities.
  • To supervise and mentor graduate students, providing guidance and support in their research endeavours
  • To collaborate with industry partners to apply Data Science techniques to real-world problems and foster technology transfer.
  • To have an ability to secure external research funding and lead research projects independently or collaboratively.
  • Proven experience in working with interdisciplinary research teams or collaborating across departments.
  • To facilitate in connecting industry with academia for providing hands on experience leading to skill development of students.
  • To prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc.
  • To ensure discipline and welfare of the students.
  • To ensure Quality (NBA, ISO, NAAC, NIRF) and innovative education to students by continuous monitoring of subject, books, and journals, teaching aids, Laboratory facilities and ensure understanding of education regulatory bodies like UGC / AICTE
  • To do quality research, have good academic record and books/research paper publications/IPR/patents record.
  • To continue to develop one’s position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field.


B) Functional Skills

  • Academician/Researcher/Strategy Thinker
  • of Nurturing & engaging Students constructively
  • interpersonal & content delivery skills.
  • to engage students constructively.
  • Academic domain knowledge – National (UGC/NBA/NAAC/NIRF/AICTE etc.)/International
  • Competency of Institution Building


C) Attributes

  • Dynamic, energetic, team player, thrives among strong colleagues.
  • Ability to work in fast paced evolving environment.
  • Be willing and able to exercise judgment and take risks.
  • Accept criticism and constructive feedback, while being extremely adaptable and flexible.
  • Reflection of an impeccable persona in walk-talk while dealing with academia
  • High spiritual quotient (Social quotient -SQ, Intelligence quotient - IQ, Emotional Quotient - EQ)


D) Qualification & Years of Experience as per AICTE/ UGC norms:

  1. B.tech & M.Tech – IT/CSE from Top tier Institutes & reputed universities like IITs, NITs, IIITs, IISc. Etc. and throughout first class
  • 0-4 years of experience in teaching/ research
  • PhD or PhD (Pursuing) Data Science , machine learning, or a related field. candidates from Top Institutes will be preferred
  • Industry Experience is desirable
  • PhD publications and guiding PhD students is desirable.
  • Industry and Global Experience is desirable.


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