Assistant Professor-Data Science/AIML

ABOUT JOB

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

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

A 1. )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 ones position as a leading researcher, including publication, external funding and the pursuit of other relevant indicators of standing in the field.

A 2. ) 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

A 3.) 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)

B) 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.