Assistant Professor

Position: Assistant Professor (Master of Computer Applications) School / Institute: MIT College of Management Experience: Minimum of 2-3 years of teaching experience for MCA courses Reporting to: Head of Department / Principal Location: MIT ADT University, Vishwaraj Baug, Loni Kalbhor, Pune, Maharashtra – 41220 About the Company MIT College of Management (MITCOM) is seeking a highly competent and research-focused Assistant Professor for the Master of Computer Applications (MCA) program. The candidate will be responsible for teaching core Computer Applications and specialized subjects, contributing to the development of the IT curriculum, and mentoring students to meet the demands of the modern software and IT industry, in strict accordance with the latest AICTE norms. About the Role The Assistant Professor will engage in academic duties, research, and institutional development activities while ensuring adherence to AICTE guidelines. Responsibilities Academic & Teaching Duties Conduct lectures, practical lab sessions, and tutorials for MCA students in both core and specialized subjects, such as Data Science, Cloud Computing, Database Management Systems (DBMS), Software Engineering, Data Structures, Algorithms, Computer Networks, and Programming Languages (e.g., Python, Java). Develop and update course syllabi, laboratory manuals, and teaching methodologies in line with AICTE guidelines and industry requirements. Set and evaluate question papers, assignments, and practical examinations, ensuring fair and rigorous assessment. Mentor and guide students on their academic progress, project work, and industry internships. Research and Innovation Engage in high-quality research, resulting in publications in SCI/UGC-CARE/AICTE approved refereed journals. Guide MCA student dissertations and final year projects. Seek and execute research and consultancy projects with industry partners. Present research findings at national and international conferences. Institutional & Professional Development Actively participate in administrative and institutional development activities, including admissions, examinations, curriculum review, and NBA/NAAC accreditation processes. Liaise with the IT industry to arrange guest lectures, expert talks, and industrial training for students. Mandatory requirement to undergo AICTE-prescribed Faculty Development Programs (FDPs), including MOOCs in SWAYAM, preferably within the first year of service. Qualifications The minimum qualifications for the direct recruitment of an Assistant Professor for the MCA program must strictly adhere to the latest AICTE norms: Essential Qualifications (Any one of the three combinations below) Option 1 (Engineering Stream) B.E. / B.Tech. / B.S. in a relevant branch (e.g., CSE, IT, ECE) M.E. / M.Tech. / M.S. or Integrated M.Tech. in a relevant branch. Minimum of 2-3 years of teaching experience for MCA courses Option 2 (B.Tech + MCA) B.E. / B.Tech. / B.S. in a relevant branch (e.g., CSE, IT, ECE) MCA (Master of Computer Applications). Minimum of 2-3 years of teaching experience for MCA courses Option 3 (Traditional Stream) Graduation of three years’ duration (e.g., BCA, B.Sc. IT, B.Sc. Comp. Sc.) with Mathematics as a compulsory subject. MCA (Master of Computer Applications). Minimum of 2-3 years of teaching experience for MCA courses Note: First Class or equivalent is mandatory in at least one of the qualifying degrees (Bachelor's or Master's). If a class/division is not awarded, a minimum of 60% marks in aggregate shall be considered equivalent to First Class. Highly Desirable Criteria Ph.D. Degree in Computer Applications, Computer Science, or an allied/relevant technical discipline. Candidates with Ph.D. acquired after the Bachelor’s degree from an Institution of National Importance with a valid GATE/GPAT/CEED score shall be eligible. NET/SET qualification in Computer Science or IT (as per UGC norms) is advantageous. Preferred Skills Demonstrated expertise in Software Development Life Cycle (SDLC) and modern DevOps practices. Hands-on proficiency in current technologies such as Cloud Platforms (AWS/Azure/GCP), Big Data Tools (Hadoop/Spark), or specialized Data Science Libraries (TensorFlow/PyTorch). Strong analytical, logical reasoning, and programming skills. Effective communication and pedagogical skills for teaching complex technical subjects. Pay range and compensation package Details regarding the pay range or salary or compensation will be provided during the interview process. Equal Opportunity Statement We are committed to diversity and inclusivity in our hiring practices and encourage applications from all qualified individuals.