Location: Department Of Technology
Department: Data Science
Job Type: Full Time
Data Science Faculty
Key Responsibilities:
1. Teaching and Instruction:
· Develop and deliver lectures, seminars, and tutorials in their area of expertise.
· Prepare course materials (syllabi, assignments, exams) and manage grading.
· Mentor and guide undergraduate and graduate students, providing academic advice and support.
· Incorporate current research and real-world applications into the curriculum.
· Use a variety of teaching methods, including lectures, discussions, group work, and online learning platforms.
· Service and Administrative Duties:
· Participate in departmental, faculty, and institutional committees, contributing to academic governance.
· Assist with departmental administration, such as curriculum development, accreditation processes, and assessment of student performance.
· Serve as an advisor for student organizations or academic programs.
· Contribute to the university’s mission and strategic goals through service on committees or in special projects.
1. Professional Development:
· Engage in ongoing professional development, including attending conferences, workshops, and training.
· Stay current with developments in their field and incorporate new knowledge into teaching and research.
· Pursue opportunities for interdisciplinary collaboration and expand expertise in related fields.
Qualifications
Educational Requirements: M tech (Computer/Data Science) or equivalent terminal degree in the relevant academic discipline. Some institutions may accept candidates with a strong track record in research and professional experience, particularly in applied fields.
Experience:
· Previous teaching experience or freshers can also apply.
Skills:
· Strong communication and interpersonal skills for effective teaching and collaboration.
· Ability to manage multiple responsibilities and work independently.
· Knowledge of current trends and developments in the field.
· Familiarity with modern teaching technologies .
· Grant-writing and research funding experience may be required, especially for more research-intensive positions.
How to Apply:
Interested candidates should send their resume on hr@divyitsolution.com or can reach directly on 9271112061.