Assistant Professor - Computer Science & Engineering (AI & ML)
Job Description
Brainware University, Barasat, West Bengal, India (On-site)
\nWe Are Hiring: Assistant Professor – Computer Science & Engineering (AI & ML)
\nAre you a passionate academician in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or allied emerging technologies ?
\nDo you want to build a career in a research-driven, innovation-focused university that values teaching excellence, publications, funded projects, and AI-enabled learning ?
\nBrainware University invites applications from highly motivated, research-oriented, and student-centric professionals for the position of Assistant Professor – CSE (AI & ML).
\nLocation: Barasat, Kolkata, West Bengal
\nExperience: Minimum 1–2 years
\nEmployment Type: Full-time
\nWork Mode: On-site
\nRole Summary:-
\nAs an Assistant Professor in Computer Science & Engineering (AI & ML) , you will play a key role in:
\n- \n
- Delivering high-quality teaching in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Python, and related domains \n
- Mentoring students in academics, projects, internships, innovation, and research \n
- Contributing to research publications, conferences, patents, funded projects, and academic development \n
- Integrating AI tools, emerging technologies, and industry-relevant practices into the classroom \n
- Supporting a culture of outcome-based education, innovation, and interdisciplinary collaboration \n
Key Responsibilities:-
\n- \n
- Teach undergraduate and postgraduate students in CSE / AI & ML \n
- Handle subjects related to Artificial Intelligence, Machine Learning, Data Science, Python, Deep Learning, Algorithms, and core Computer Science \n
- Guide students in projects, case studies, research work, and practical applications \n
- Publish in reputed journals / conferences and contribute to the research ecosystem \n
- Participate in curriculum development, academic planning, mentoring, and departmental activities \n
- Contribute to NAAC / NBA / academic quality initiatives and institutional growth \n
- Build linkages with industry trends, applied learning, and emerging technologies \n
Essential Qualifications :-
\n- \n
- PhD in Computer Science & Engineering or allied discipline – Mandatory \n
- M.Tech in Computer Science / Information Technology with minimum 55% marks – Mandatory \n
- Minimum 1–2 years of teaching / academic experience \n
- Strong interest in teaching, research, publications, and student mentoring \n
- Good knowledge of AI, Machine Learning, Data Science, Deep Learning, Python, and current technology trends \n
- Excellent communication, presentation, and academic coordination skills \n
Preferred Profile:-
\nCandidates with exposure to one or more of the following will be preferred:
\n- \n
- Artificial Intelligence \n
- Machine Learning \n
- Deep Learning \n
- Data Science \n
- Python Programming \n
- Research Publications \n
- Outcome-Based Education \n
- Academic Administration \n
- Project Guidance \n
- Interdisciplinary Research \n
Why Join Brainware University?
\n- \n
- Research-driven academic environment \n
- Opportunity to work in a progressive and innovation-focused institution \n
- Growth opportunities in teaching, research, publications, and academic leadership \n
- Collaborative faculty culture \n
- Modern academic infrastructure and student engagement ecosystem \n
How to Apply:-
\nSend your updated CV and cover letter to:
\n/
\nSubject Line:
\nApplication for Assistant Professor – CSE (AI & ML).
\nContact:
\n/ /