Information Systems Academic Associate at ISB

Overview:

As an Academic Associate, you’ll have the 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 young, energetic individuals with a solid academic background who aspire to start their careers in higher education, research, or teaching. Many ISB Academic Associates often pursue a Ph.D. at internationally renowned universities or business schools, or transition into teaching positions at well-known universities.

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, you will have a unique opportunity to pursue one of the two structured certification track s as part of our Academic Associate Certificate Program (AACP):

- Teaching Track
- Research Track

These professional development options will complement your role by strengthening your professional skills and laying a strong foundation for your future academic journey.

Key Benefits:

- Competitiv e monthly compensation
- Access t o Business Foundations certificati on vi a ISB onli ne
- Ability to credit/audit select ISB PGP and FPM cours es as part of AACP
- Participate in workshops, seminars, practicums, and peer learning session s focused o n instructional strategi es an d research development
- Full access t o ISB ’ s world-class library resourc es
- Opportunities to atten d conferences, summi ts, an d academic even ts held on campus
- Collaboration wit h distinguished facul ty who are thought leaders in their fiel ds, shaping cutting-edge research and influencing global academia

Qualifications





Educational Backgro und

- Master’s degree required (pure science, Engineering, Computer Science, Statistics, Mathematics, Data Science, AI, or related fields)
- Candidates pursuing or holding a Ph.D. may apply

Preferred Qualifications While not mandatory, candidates with the following background or expertise will be at an advantage

- 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 Modeling

Skills and Competen cies

- 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 desira ble.

Key Responsibilit i es: Responsibility Area, Description, Percentage of Time

Assist in Course Development, Delivery and Manag ement

Support in the setup, management, and delivery of courses, ensuring effective learning experiences. Tasks include managing in-class activities, LMS, grading assignments, providing feedback, and proctoring exams. Support for developing new material when ne ede d.45%

Student Mentoring and Tuto rials

Provide academic guidance and mentorship to students, offer personalized support, and assist with understanding course content. Conduct tutorials and offer targeted academic assistance. Ensure students receive timely help with their queries and develop key academic skill s.15%

Documentation and Audit Compl iance

Ensure fulfilment of audit requirements by accurately documenting all grading, student communications, and course-related interactions. Maintain organized records to support internal audits and compliance review s.20%

Professional Development and Certific ation

Audit courses for certification requirements (teaching or research). Attend workshops, seminars, and peer learning sessions focused on both instructional strategies and research develop ment. Participate in faculty-led research projects to develop research skills and gain experience, enhancing overall research competencies (subject to opportunity). 20%

📌 Academic Associate - Information Systems (Sahibzada Ajit Singh Nagar)
🏢 Indian School of Business
📍 Sahibzada Ajit Singh Nagar