Academic Associate - Information Systems

Indian School of Business; Mohali; On-site; INR 446,000 - 781,000; Full time

Benefits offered by this job

Competitive compensation

ISB certification tracks

Audit ISB courses

Workshops and seminars

Library access

Academic events on campus

Faculty collaboration

Job summary

Indian School of Business (ISB) in Mohali offers an Academic Associate position to work with world-renowned faculty, supporting course development, delivery, and student mentoring. The role targets energetic individuals aiming to start careers in higher education, research, or teaching.

The program includes two certification tracks (Teaching and Research) and opportunities to audit ISB courses, attend workshops, and access ISB library/resources, positioning candidates for future academic

Qualifications

• Master’s degree required in a relevant field (science/engineering/computing/statistics/data science/AI).
• Candidates pursuing or holding a Ph.D. may apply.

Responsibilities

• Assist in course development, delivery and management, including LMS, grading, feedback, and proctoring exams.
• Student mentoring and tutorials to provide guidance, tutorials and targeted academic assistance with timely help.
• Documentation and audit compliance to maintain records for internal audits and compliance.
• Professional development and certification: audit courses for teaching/research, attend workshops, and participate in faculty-led research.

Skills

Data Science

Artificial Intelligence

Machine Learning

Deep Learning

Business Analytics

Python

R

Statistics

MS Excel

Education

Master’s degree

PhD candidate or holder

Tools

LMS platforms

Job description

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 strong 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.

Additionally, you will have a unique opportunity to pursue one of the two structured certification tracks 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.

• Competitive monthly compensation
• Access to Business Foundations certification via ISB online
• Ability to credit/audit select ISB PGP and FPM courses as part of AACP
• Participate in workshops, seminars, practicums, and peer learning sessions focused on instructional strategies and research development
• Full access to ISB's world-class library resources
• Opportunities to attend conferences, summits, and academic events held on campus
• Collaboration with distinguished faculty who are thought leaders in their fields, shaping cutting-edge research and influencing global academia

Qualifications

Educational Background

• 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 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.

Key Responsibilities:

Responsibility Area, Description, Percentage of Time

Assist in Course Development, Delivery and Management

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

eded.45%

Student Mentoring and Tutorials

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 skills.15%

Documentation and Audit Compliance

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 reviews.20%

Professional Development and Certification

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%