A Data Science Professor's key roles involve teaching, research, curriculum development, mentoring, and collaboration. They also contribute to academic leadership, faculty development, and service within the university. Here's a more detailed breakdown of the key roles: 1. Teaching: • Undergraduate and Graduate Courses: Teaching courses in data science, IT, and related ields. • Developing New Courses: Creating and updating existing course materials. • Innovative Teaching Methodologies: Using advanced teaching strategies, including experiential learning and technology integration. 2. Research: • Conducting Research: Conducting cutting-edge research in data science and related areas. • Publishing Findings: Publishing research in top-tier conferences and journals. • Seeking Funding: Obtaining external funding through grants and research proposals. 3. Curriculum Development: • Academic Leadership: Contributing to the development and reinement of academic programs. • Curriculum Design: Designing and delivering courses using cutting-edge teaching strategies. • Curriculum Review: Reviewing and updating existing curricula. 4. Mentoring and Advising: • Student Mentorship: Mentoring and advising students on academic and research projects. • Faculty Development: Providing mentorship and guidance to junior faculty.

No. of Positions: 03 An Assistant Professor in Computer Science (CSE) has multifaceted responsibilities encompassing teaching, research, and service. They are primarily responsible for instructing undergraduate and graduate courses, developing curriculum materials, and mentoring students in their academic and research endeavors. Additionally, they are expected to conduct original research, publish findings in reputable journals, and contribute to the department and university through committee work and other service activities. Detailed Breakdown: Teaching: Instructing Courses: Delivering lectures, conducting lab sessions, and leading discussions on various CSE topics. Curriculum Development: Creating and updating course materials, including syllabi, assignments, and exams. Student Engagement: Encouraging active participation, providing feedback, and fostering a positive learning environment. Assessment: Evaluating student performance through exams, assignments, and projects. Mentoring and Advising: Providing guidance to students on their academic paths and research projects. Research: Conducting Research: Engaging in original research in their area of expertise, contributing to the advancement of knowledge. Publishing: Presenting research findings at conferences and publishing in peer-reviewed journals. Grant Writing: Seeking external funding to support research projects. Service: Departmental Involvement: Participating in departmental meetings, committees, and other activities. University Service: Contributing to university-wide initiatives and representing the university at conferences. Community Outreach: Engaging with the community through outreach programs and collaborations.