Associate Professor - Computer Science & Engineering
Dayananda Sagar University invites applications for the position of Associate Professor in the Department of Computer Science Engineering. The ideal candidate will have over 15+ years of total teaching/research/industry experience with a minimum of 5+ years post-PhD academic experience. The candidate should demonstrate excellence in teaching, research, and leadership, contributing to the university’s academic and research goals.
Position Summary
Job Title: Associate Professor – Computer Science Engineering
Department: Computer Science Engineering, AI & ML, Data Science, Robotics
Dayananda Sagar University is a premier institution committed to academic excellence, innovation, and research. We aim to nurture the next generation of leaders in technology and engineering.
Key Responsibilities
- Deliver high-quality teaching at undergraduate and postgraduate levels in Computer Science Engineering.
- Guide and mentor students for projects, theses, and research activities.
- Lead and contribute to research initiatives, publish in reputed journals, and present at conferences.
- Develop innovative curriculum and course materials in line with industry trends and academic standards.
- Supervise PhD scholars and foster a research-oriented environment within the department.
- Participate in departmental administration, academic committees, and university initiatives.
- Collaborate with industry and academia for consultancy projects, workshops, and seminars.
- Engage in continuous professional development and promote interdisciplinary research.
Qualifications and Experience
- PhD in Computer Science Engineering or related field from a recognized university.
- Minimum 15 years of relevant experience in teaching, research, or industry.
- At least 5 years of experience as an Assistant Professor or Associate Professor post-PhD.
- Strong publication record in reputed international journals and conferences.
- Proven track record in securing research funding and leading projects is preferred.
- Excellent communication, leadership, and interpersonal skills.
- Expertise in one or more areas such as Artificial Intelligence, Data Science, Cybersecurity, Software Engineering, Networking, or related fields is desirable.
Preferred Skills
- Ability to work collaboratively in multidisciplinary teams.
- Experience in curriculum design and accreditation processes.
- Strong network with academic and industry professionals.
- Passion for innovation, research, and student development.
Additional Details
- Date: 16-09-2025
- Seniority level: Mid-Senior level
- Employment type: Full-time
- Job function: Education and Information Technology
- Industries: Education Administration Programs and Higher Education
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