Assistant Professor of Computer Science Engineering

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 centre, 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: Assistant Professor

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

WORK Responsibilities:

LEARNING & TEACHING

• To develop and teach undergraduate and graduate courses in CORE Computer Science & Allied courses.
• Command on Subjects like:
• Programming Fundamentals via language C/C++, JAVA, Python
• Data Structures & Algorithms
• Operating Systems
• Computer Architecture & Organisation
• Object Oriented Programming (OOP)
• Software Engineering
• Design & Analysis of Algorithms
• Computer Networks, Compiler Designs, DevOps
• Artificial Intelligence, Machine Learning
• Deep Learning, Natural Language Processing, Computer Vision, or related areas. etc.
• Proven experience of teaching new age subjects like Cybersecurity, Big Data Analytics, IoT, Cloud Computing, Blockchain Technology, AVR (Augmented & Virtual Reality) with a commitment to innovative pedagogical approaches.
• Have an ability to stay abreast on the latest emerging trends and technologies in AI/AIML/DS such as reinforcement learning, generative models, or ethical AI.
• To stay abreast of developments in the field of AI through continuous learning, attending conferences, and networking with peers.
• Proven e xperience with software development and programming languages commonly used in AI research, such as Python, TensorFlow, PyTorch, or similar tools.
• 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 prepare / maintain lesson plans, lecture notes, model question papers, attendance register, manual etc.
• To ensure discipline and welfare of the students .
• To meaningfully engage students in class, seminars, workshops, conferences , events, applied subject knowledge projects.
• 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

RESEARCH

• To conduct cutting-edge research in AI, Data Science, AIML, Core 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 AI/AIML techniques to real-world problems and foster technology