Associate Professor

**Key Responsibilities**
- **Teaching & Instruction**:

- Teach undergraduate and postgraduate courses in **Computer Science Engineering (CSE)**, including specializations in **IT, AI/ML, and Cybersecurity**.
- Develop and deliver course content, assignments, and lab sessions in a manner that integrates the latest technologies and industry best practices.
- Assess student performance, grade assignments, and provide constructive feedback to foster academic growth.
- Mentor students in their academic and career development, particularly in the fields of **AI/ML, Cybersecurity**, and **Data Science**.
- **Research & Innovation**:

- Conduct and publish high-quality, impactful research in **AI/ML, Data Science, Cybersecurity**, and other relevant domains.
- Collaborate with faculty, students, and external organizations on research projects and industry-sponsored initiatives.
- Supervise M.Tech and Ph.D. students in their research and thesis work.
- **Curriculum Development & Academic Leadership**:

- Design and update course syllabi in line with industry needs and emerging trends in technology.
- Participate in the development of academic strategies and departmental goals to maintain high standards of teaching and research.
- Contribute to curriculum development initiatives, integrating new advancements in **AI/ML, Cybersecurity**, and **Software Engineering**.
- **Academic Administration**:

- Actively participate in academic and administrative duties within the department.
- Involved in the accreditation process, departmental committees, and other institutional activities.
- Foster an inclusive and collaborative academic environment that encourages student participation and success.
- **Industry Collaboration & Outreach**:

- Engage with industry partners to establish collaborations, internships, and placement opportunities for students.
- Organize workshops, conferences, webinars, and seminars on **emerging topics in IT, AI/ML, and Cybersecurity**.
- Facilitate partnerships with tech companies and other educational institutions for research and knowledge exchange.

**Qualifications**
- **For Assistant Professor**:

- Master’s degree in **Computer Science Engineering (CSE)**, **Information Technology (IT)**, **Artificial Intelligence & Machine Learning (AI/ML)**, **Cybersecurity**, or a related field. A Ph.D. is preferable.
- Proven expertise and academic credentials in one or more of the following**:AI/ML, Cybersecurity, Data Science, Cloud Computing**, etc.
- Passion for teaching and mentoring students.
- **For Associate Professor / Professor**:

- Ph.D. in **Computer Science Engineering (CSE)**, **IT**, **Artificial Intelligence & Machine Learning (AI/ML)**, **Cybersecurity**, or a related field.
- A strong research portfolio with publications in high-impact journals and conferences.
- Demonstrated academic leadership, including the ability to mentor junior faculty and contribute to the strategic development of the department.

**Skills & Competencies**
- **Technical Expertise**:

- Strong knowledge of programming languages like **Python, Java, C++, R**, and relevant tools for **AI/ML** and **Cybersecurity** (e.g., TensorFlow, Keras, PyTorch, SIEM, ethical hacking tools).
- Experience with current technologies in **Cloud Computing**, **Big Data**, **IoT**, **Blockchain**, and **Network Security**.
- Familiarity with modern teaching tools and platforms (e.g., **Moodle**, **Canvas**, **GitHub**).
- **Research & Collaboration**:

- Excellent track record of research and publication in **AI/ML**, **Data Science**, and **Cybersecurity**.
- Ability to collaborate with faculty, researchers, and industry partners on cutting-edge projects.
- **Communication & Mentorship**:

- Excellent verbal and written communication skills.
- Ability to explain complex concepts in a clear and engaging manner.
- Strong mentoring abilities to guide students in research and academic pursuits.

**Desirable Attributes**
- Industry experience in **AI/ML, Cybersecurity**, or **IT consulting**.
- Active involvement in professional societies and conferences related to **Computer Science**, **AI/ML**, or **Cybersecurity** (e.g., IEEE, ACM, NASSCOM).
- Experience in interdisciplinary research and integration of emerging technologies.

**Benefits**
- Competitive salary package based on qualifications and experience.
- Opportunities for research, professional development, and international collaboration.
- Access to state-of-the-art laboratories and computing facilities.
- A dynamic and collegial work environment with opportunities for growth.

Pay: ₹25,905.01 - ₹124,613.04 per month

Work Location: In person