Academic Associate at ISB
Non-Academic Openings
Academic Associate at ISB
Overview
Job Title: Academic Associate at ISB
Academic Areas: Finance, Operations Management & Data Analytics
Location: Hyderabad
As an Academic Associate you’ll have a unique opportunity to work closely with the world-renowned faculty in shaping teaching and learning experiences of future business leaders. ISB’s portfolio faculty model allows academic associates to work with a mix of accomplished resident faculty and visiting faculty from other global business schools. This role is ideal for individuals with a strong academic record who intend to pursue a career in higher education. This position offers professional development through supporting faculty in course delivery, mentoring students, and managing academic activities. Responsibilities include assisting with classroom management, facilitating learning activities, grading assignments, and ensuring the smooth operation of courses.
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
Key Responsibilities
| Responsibility Area | Description | % Time Spent |
| Assist in Course Development, Delivery and Management | 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. | 45% |
| Student Mentoring and Tutorials | 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. | 15% |
| Documentation and Process Compliance | 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. | 20% |
| Professional Development and Certification | 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. | 20% |
How to Apply?
To Apply complete the Google Form: CLICK HERE.
Indian School of Business
Gachibowli, Hyderabad - 500111
Indian School of Business
Knowledge City
Sector 81, SAS Nagar ,Mohali - 140 306