Brainware University
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Barasat · On-site · Oct 30
501 to 1000 Employees · Calcutta, India
Hiring: Engineering
What employees say
+ On time Salary, good surface
− Too much toxic environment, office politics, heavy work load, employee harassment, rude behavior, all over very very very bad office culture
More reviews on the company profile.
Interview experience · Assistant Professor
It was a one round interview and it was very hassle free and smooth. The interviewers were friendly and made the entire process very comfortable. The acceptance call also came the next day. However due to some unfortunat
Average difficulty · India · 8 reports
More interview insightsJob description
Overview
We Are Hiring: Assistant Professor in Computer Science & Engineering (AI & ML)
Responsibilities
- Teach undergraduate and postgraduate students in CSE / AI & ML
- Handle subjects related to Artificial Intelligence, Machine Learning, Data Science, Python, Deep Learning, Algorithms, and core Computer Science
- Guide students in projects, case studies, research work, and practical applications
- Publish in reputed journals / conferences and contribute to the research ecosystem
- Participate in curriculum development, academic planning, mentoring, and departmental activities
- Contribute to NAAC / NBA / academic quality initiatives and institutional growth
- Build linkages with industry trends, applied learning, and emerging technologies
- PhD in Computer Science & Engineering or allied discipline – Mandatory
- M.Tech in Computer Science / Information Technology with minimum 55% 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
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Data Science
- Python Programming
- Research Publications
- Outcome-Based Education
- Academic Administration
- Project Guidance
- Interdisciplinary Research
- Research-driven academic environment
- Opportunity to work in a progressive and innovation-focused institution
- Growth opportunities in teaching, research, publications, and academic leadership
- Collaborative faculty culture
- Modern academic infrastructure and student engagement ecosystem
Qualifications
- Delivering high-quality teaching in Computer Science, Artificial Intelligence, Machine Learning, Data Science, Deep Learning, Python, and related domains
- Mentoring students in academics, projects, internships, innovation, and research
- Contributing to research publications, conferences, patents, funded projects, and academic development
- Integrating AI tools, emerging technologies, and industry-relevant practices into the classroom
- Supporting a culture of outcome-based education, innovation, and interdisciplinary collaboration
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Job application FAQ
Last updated 4 November 2026
- How do I apply for Assistant Professor in CSE AIML Department at Brainware University?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Brainware University may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Assistant Professor in CSE AIML Department role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Assistant Professor in CSE AIML Department remote or on-site in Barasat, West Bengal?
- This listing is marked on_site with location Barasat, West Bengal. Confirm details on the job description before applying.
- What skills matter for this Assistant Professor in CSE AIML Department role at Brainware University?
- Key skills for this role include skills listed in the job description. Upload a resume to see which requirements you already meet and which are gaps.