Assistant​/Associate Professor​/Professor– Computer Science & Engineering; CSE

Assistant / Associate Professor / Professor– Computer Science & Engineering (CSE)

Brainware University | Barasat, Kolkata, West Bengal | On-site

Join Brainware University:
Advancing Excellence in Computer Science & Engineering Education Brainware University invites applications from accomplished academicians and researchers for the position of  Assistant / Associate Professor / Professor  in th e Department of Computer Science & Engineering (CSE).  We are seeking highly motivated professionals with a strong academic background, research credentials, and a passion for nurturing future technology leaders.

Location :
Barasat, Kolkata, West Bengal, India
Experience

Required:

8–10 years (for Associate Professor and Professor positions)

About Brainware University:

- Brainware University is committed to academic excellence, innovation, and impactful research. With modern infrastructure, industry-oriented programs, and a vibrant academic ecosystem, the University provides an ideal environment for faculty members to contribute to teaching, research, and institutional development.

Position Overview:

- The selected candidate will play a key role in delivering high-quality education, mentoring students, conducting advanced research, and contributing to the academic and strategic growth of the Department of Computer Science & Engineering.

Key Responsibilities:

- Deliver undergraduate and postgraduate courses in Computer Science & Engineering
Develop and implement innovative teaching methodologies to enhance student learning outcomes.
Guide and mentor students in academic projects, research activities, and career development.
Conduct high-quality research and publish in reputed peer-reviewed journals and conferences.
Secure research grants and collaborate on interdisciplinary research initiatives.
Participate in curriculum development, accreditation processes, and academic administration.
Foster industry-academia collaborations and contribute to departmental growth.
Stay abreast of emerging technologies and incorporate relevant advancements into teaching and research.

Eligibility Criteria:

- Assistant Professor:
PhD in Computer Science & Engineering or allied discipline – Mandatory
M.Tech in Computer Science / Information Technology with minimum 60% marks – Mandatory
Minimum  1–2 years of teaching / academic experience
Strong interest in  teaching, research, publications, and student mentoring
Good knowledge of  AI, Machine Learning, Data Science, Deep Learning, Python, and current technology trends
Excellent  communication, presentation, and academic coordination skills

Associate Professor / Professor:
Ph.D. in Computer Science & Engineering or a closely related discipline from a recognised university.
M.Tech. in Computer Science & Engineering / Information Technology with a minimum of 60% marks.
Minimum  8–10 years of relevant teaching, research, and academic administrative experience in higher education institutions.
Demonstrated record of quality research publications in reputed journals and conferences.
Experience in academic leadership roles such as  Department Head, Programme Coordinator, Dean, or equivalent will be preferred.
Strong communication, leadership, and interpersonal skills.
Commitment to academic excellence, innovation, diversity, and inclusive education.

Compensation & Benefits:
Competitive salary commensurate with qualifications and experience.
Attractive benefits package as per University norms.
Opportunities for research, consultancy, and professional development.
Collaborative and intellectually stimulating academic environment.
Access to modern teaching and research facilities.

Application Process:

Interested candidates are requested to send their   updated Curriculum Vitae (CV) along with a cover letter to  /   or call on  /.

Brainware University is an equal opportunity employer and encourages applications from qualified individuals dedicated to excellence in teaching, research, and academic

leadership.
Join us in shaping the future of Computer Science & Engineering education and research.