Assistant Professor – Computer Science & Engineering / AI & ML / AI & DS

Job Title: Assistant Professor – Computer Science & Engineering / AI & ML / AI & DS

Job Location: JIMS Engineering Management technical Campus , Greater Noida 

Position Type: Full-time / Regular

Key Responsibilities:

1. Teaching & Academic Delivery

* Deliver lectures, tutorials, and practical sessions at undergraduate levels.

* Develop course materials, curriculum, and innovative teaching methods aligned with emerging trends in CSE, AIML & AIDS.

* Mentor students in academic and research projects.

2. Research & Publications

* Undertake high-quality research in specialized areas of Computer Science, AIML, and AI & DS.

* Publish in reputed peer-reviewed journals, conferences, and Scopus/SCI-indexed platforms.

* Guide and supervise student research (UG/PG/Ph.D. where applicable).

3. Academic Administration

* Participate in departmental activities, curriculum design, accreditation (NBA/NAAC) processes, and quality initiatives.

* Assist in organizing workshops, seminars, FDPs, hackathons, and industry-academia collaborations.

4. Professional Development

* Stay updated with technological advancements, tools, and industry practices in AI, ML, and Data Science.

* Engage in continuous learning and contribute to knowledge dissemination through training, consultancy, and funded research projects.

5. Desired Skills & Expertise:

* Strong knowledge in Programming (Python, C++, Java), Data Structures, Algorithms, Databases, Operating Systems, and Computer Networks.

* Expertise in Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Big Data Analytics, and Data Science tools (TensorFlow, PyTorch, R, MATLAB, etc.).

* Ability to use modern pedagogical tools (e-learning platforms, simulation tools, coding labs).

* Excellent communication, mentorship, and teamwork skills.

6. Qualification & Experience:

* Essential:

M.Tech / M.E. in Computer Science & Engineering / AI & ML / Data Science (with First Class).

* Desirable:

Ph.D. in relevant discipline (awarded/pursuing from reputed university).

Research publications in reputed journals/conferences.

GATE/NET qualification preferred.

7. Experience:

Freshers with strong academic credentials may apply.

1–3 years teaching / research / industry experience in relevant field will be an added advantage.