We are seeking a highly qualified and experienced passionate teachers of Professor/ Associate Professor/ Assistant Professor level in department of Computer Science Engineering, Information Technology and Computer Applications with specialization in artificial intelligence, machine learning, data science, cloud computing, full stack development, web technology, cyber security, mobile development and game technology. The candidate will be responsible for delivering high-quality education, conducting innovative research, mentoring students, and contributing to academic and institutional development. Key Responsibilities: To prepare the lecture plans and to communicate it to the students. To teach by employing useful methods and approaches that facilitates students learning and to complete the Program syllabus on time. To co-ordinate with other faculty members in preparation of tutorial assignments and tutorial work. To motivate the students through various activities to utilize the tutorial facility. To identify the learning difficulties of students and help them to overcome the same. To participate with other faculty and staff to select and set up practical & hands on practice sessions for students. To help select a project and to serve as an instructor, guiding the identification, design, and completion of appropriate research work. To set up the question papers for internal & external examinations. To evaluate of examination answers sheets and to submit the marks on time. To work closely and regularly with students to identify interests, skills, needs, employment barriers and available resources and to respond to all student questions and requests regarding placement support. To provide in house training(s) to the students for placement preparedness, and strive hard to achieve the maximum possible placements for the students. To organize, participate and encourage participation of students in Seminars, conferences, Annual fests, functions, Sports, games and Academic extracurricular activities. To continuously work towards getting relevant higher academic qualification(s). To continuously get engaged in personal research, publication of research papers and books. To play role of a friend, philosopher, and guide for students. Qualifications & Experience: Education: A Doctoral/ Master's degree in Computer Science & Engineering, Information Technology, Computer Applications or a related field from a recognized university. Preferred Skills & Expertise: Knowledge of modern pedagogical techniques and e-learning tools. Strong networking skills with industry and academia.,
Employement Category:
Employement Type: Full time Industry: Education / Training Role Category: Not Specified Functional Area: Not Specified Role/Responsibilies: Professor in Computer Science &