Academic Associates in Operations Management and Information Systems

Academic Associate at ISB

As an Academic Associate, you'll have the unique opportunity to work alongside world-renowned resident and visiting faculty to deliver high-quality courses and shape the learning experiences of future business leaders. This role is ideal for individuals with a strong academic background who aspire to careers in higher education, research, or teaching.

You will primarily support faculty in course delivery, manage academic activities, and ensure smooth classroom operations — from facilitating sessions and grading assignments to enabling engaging learning experiences. Additionally, as a part of professional development, you will have an opportunity to pursue one of the two structured tracks : Teaching and Research . These tracks will complement your primary role by strengthening your professional skills and providing a strong foundation for your future academic journey.

Location : Mohali

Academic Areas : Operations Management & Information Systems

Qualifications :

• Educational Background :
• Ph.D. or Master's degree highly preferred
• Bachelor's degree required
• Strong and consistent academic records are required.
• Skills and Competencies :
• Commitment to excellence in teaching and learning by providing strong support to both faculty and students.
• Exceptional organizational skills with the ability to handle multiple tasks and meet deadlines efficiently.
• Proven ability to collaborate effectively with faculty and students in a higher education environment.
• Strong communication skills, particularly in mentoring and engaging with students.
• Ability to work collaboratively within a team and across various functions within the department.
• Fundamental proficiency in mathematics and statistics.
• Prior experience in teaching, tutoring, and academic support in higher education setup preferred.
• Familiarity with MS Excel functions, including data sorting, VLOOKUP, filters, descriptive statistics, and chart creation.
• Familiarity with Learning Management Systems (LMS) and digital tools for managing course materials and student data are desirable.
• Preferred Qualifications : While not mandatory, candidates with the following background or expertise will be at an advantage
• Master's degree in Engineering, Computer Science, Statistics, Mathematics, Data Science, AI, or related fields
• Strong foundational knowledge of Data Science, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), and Business Analytics
• Familiarity with Big Data frameworks and business applications
• Proficiency in programming languages such as Python and R
• Advanced quantitative and analytical skills, including experience in Quality Engineering, Task Scheduling, and Optimization Techniques
• Experience with project-based tools and methodologies related to Quantitative Analysis and Statistical Modelling

Responsibility Area - Assist in Course Development, Delivery and Management

Description - Assist in the setup, management, and delivery of courses to ensure effective learning experiences. Responsibilities include managing in-class activities, setting-up the LMS, grading assignments, providing constructive feedback, proctoring exams, and supporting the development of course materials as needed.

Percentage of Time - 45%

Responsibility Area - Student Mentoring and Tutorials

Description - Provide academic guidance and mentorship to students, offering personalized support and helping them understand course content. Conduct tutorials and deliver targeted academic assistance to ensure students receive timely help with their queries and develop essential academic skills.

Percentage of Time - 15%

Responsibility Area - Documentation and Process Compliance

Description - Ensure compliance with process requirements by accurately documenting all grading, student communications, and course-related interactions. Maintain well-organized records to support internal quality and compliance reviews.

Percentage of Time - 20%

Responsibility Area - Professional Development and Certification

Description - Complete recommended certification courses (in teaching or research) as part of professional development requirements. Attend workshops, seminars, and peer learning sessions focused on enhancing instructional strategies and research development.

Percentage of Time - 20%

To Apply complete the Google Form : CLICK HERE.

Skills Required

Experience with project-based tools and methodologies related to Quantitative Analysis and Statistical Modelling, Fundamental proficiency in mathematics and statistics, Proficiency in programming languages such as Python and R