Join the IEOR Faculty at IIT Bombay: A Comprehensive Guide to Faculty Recruitment in Industrial Engineering and Operations Research
The Department of Industrial Engineering and Operations Research (IEOR) at the Indian Institute of Technology Bombay (IIT Bombay) invites applications for faculty positions through its rolling recruitment program. As one of India’s premier academic institutions, IIT Bombay offers an outstanding platform for professionals and scholars aiming for a career in teaching and research in Industrial Engineering, Operations Research, Data Science, and allied areas.
This guide provides a complete overview of the faculty recruitment process at IIT Bombay’s IEOR department—including eligibility, research expectations, key deadlines, and application procedures.
About the IEOR Department at IIT Bombay
The IEOR department at IIT Bombay is a center of excellence in interdisciplinary research and academic instruction. It focuses on problem-solving in critical areas such as systems optimization, operations analytics, industrial automation, and decision sciences. The department promotes a rich research environment that enables scholars to develop data-driven, innovative solutions for industries such as healthcare, logistics, finance, public policy, and energy.
To support its continued growth and research vision, the department is expanding its academic team by recruiting highly qualified and motivated faculty members.
Open Faculty Positions: Overview
IIT Bombay is currently accepting applications for the following academic ranks:
- Assistant Professor
- Associate Professor
- Professor
These positions are advertised under Advertisement No. K-15/2024–2025 and are part of a rolling recruitment scheme. This allows candidates to apply year-round. For applicants seeking priority consideration, the recommended submission date is March 31, 2025. However, the final deadline to submit applications is December 31, 2025.
Areas of Specialization
The department welcomes candidates from a broad spectrum of expertise, including but not limited to:
- Industrial Engineering
- Planning and scheduling systems
- Inventory management and control
- Facility design and layout optimization
- Human factors engineering
- Quality, safety, and reliability systems
- Digital Enterprise and Automation
- Cyber-physical system design
- Digital twins and virtual simulation
- Industrial Internet of Things (IIoT)
- Edge computing in manufacturing
- Blockchain in operations
- Autonomous systems and robotics
- Data Science and Artificial Intelligence
- Machine learning models and applications
- Deep learning and neural networks
- Reinforcement learning techniques
- Large language models (LLMs) and generative AI
- Predictive modeling and anomaly detection
- Operations Research
- Mathematical optimization techniques
- Simulation modeling and discrete event systems
- Stochastic processes and decision-making
- Heuristics and metaheuristics
- Quantum optimization for operations
- Real-World System Applications
- Healthcare operations and systems
- Smart transportation and logistics
- Financial risk modeling
- Renewable energy systems
- Governance and public sector decision support
Applicants with strong interdisciplinary credentials—especially those bridging technical innovation with real-world impact—will receive additional preference.
Eligibility Criteria
To be considered for a faculty role in IEOR at IIT Bombay, candidates must fulfill the following requirements:
- A Ph.D. degree in Industrial Engineering, Operations Research, Data Science, or related field.
- A minimum of two years of relevant postdoctoral or equivalent experience for Associate and Professor positions (Assistant Professors may be fresh postdocs).
- Proven excellence in research, demonstrated by publications in reputable international journals and conferences.
- Prior experience in teaching, mentoring, or academic training at the university level.
Candidates belonging to reserved categories (SC/ST/OBC-NC/EWS/PwBD) are strongly encouraged to apply. A Special Recruitment Drive was held earlier in the year, but qualified applicants are still encouraged to apply under the rolling process.
Responsibilities of Selected Faculty
