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.

Teaching

Location:

Academic Areas

Qualifications:

1. Educational Background

   :

• Ph.D. or Master’s degree highly preferred
• Bachelor's degree required
• Strong and consistent academic records are required.

1. 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.

1. 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

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Responsibility Area - Student Mentoring and Tutorials

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Responsibility Area - Documentation and Process Compliance

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Responsibility Area - Professional Development and Certification

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