About the Role
GL Bajaj Institute of Technology & Management (GLBITM) seeks an experienced faculty member in Computer Science to join the Department of Computer Science & Engineering.
Responsibilities
- Develop and teach undergraduate and graduate courses in core Computer Science subjects (Python, Data Structures & Algorithms, Operating Systems, Object‑Oriented Programming, Software Engineering, Design & Analysis of Algorithms, Computer Networks, Compiler Design, Deep Learning, Natural Language Processing, Computer Vision, etc.).
- Teach emerging subjects such as Cybersecurity, Big Data Analytics, Internet of Things, Cloud Computing, Blockchain, Augmented & Virtual Reality.
- Stay updated with latest trends and technologies in AI/ML/DS and integrate them into curriculum and teaching methodology.
- Use Python, TensorFlow, PyTorch or similar tools for AI research and teaching.
- Deliver engaging, activity‑based learning, real‑world problem solving and achieve high student performance.
- Conduct cutting‑edge research in AI, Data Science and core Computer Science; publish in reputable journals and conferences.
- Secure external funding and lead research projects independently or collaboratively.
- Supervise and mentor graduate students in research.
- Collaborate with industry partners and facilitate real‑world projects for students.
- Participate in continuing professional development and institutional training programmes.
- Support, mentor and facilitate seminars, workshops, conferences, and other academic events.
Qualifications & Experience
- B.Tech/M.Tech in IT/CSE from a top‑tier institute (IIT, NIT, IIIT, IISc, etc.).
- Minimum 0‑4 years of teaching/research experience; Ph.D. or Ph.D. (Pursuing) from a top institute is preferred.
- Experience in software development and programming languages commonly used in AI research (Python, etc.).
- Experience in conducting research, publishing, and obtaining external funding is desirable.
Attributes & Skills
- Dynamic, energetic, team‑player who thrives in a fast‑paced, evolving environment.
- Excellent communication, presentation, and interpersonal skills.
- Strong analytical, problem‑solving, and instructional design skills.
- Willingness to learn continuously, adopt new procedures and technologies.
- Demonstrated ability to work fairly and maintain confidentiality.
Location & Compensation
Location: Delhi/NCR.
Compensation: Competitive package (details on application). The institution provides the necessary tools and environment to foster research and innovation.
Application Process
Interested candidates should send their CV to careers@glbitm.ac.in. For more information, visit https://www.glbitm.org/career.