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
Faculty members selected through this recruitment process will have a diverse set of responsibilities, including:
- Teaching both core and elective courses in IEOR at undergraduate, postgraduate, and doctoral levels.
- Conducting original, high-impact research and publishing in leading journals.
- Supervising M.Tech, M.Sc., and Ph.D. students across research projects.
- Leading or participating in research grant proposals and externally funded projects.
- Supporting institutional development through conferences, industry collaborations, and policy workshops.
Compensation and Benefits
Faculty at IIT Bombay enjoy one of the best compensation structures among Indian academic institutions. Benefits include:
- Salary as per the 7th Central Pay Commission scales
- Start-up research grants and conference travel support
- Access to world-class research infrastructure, computing resources, and academic networks
- On-campus housing or a housing allowance
- Comprehensive medical insurance and pension schemes
Application Process
Applicants should follow these steps:
- Visit the official IIT Bombay Careers Portal.
- Go to the “IEOR Faculty Positions” page.
- Complete the online application and upload the required documents:
- Detailed CV
- Statement of Research and Teaching Interests
- PDF versions of three key publications
- Names and contact details of referees
After submission, candidates are advised to notify the Head of the IEOR Department by email at [email protected].
Timeline and Selection
- Final Deadline: December 31, 2025
- Priority Review Deadline: March 31, 2025
The department periodically reviews applications and contacts shortlisted candidates for interviews. These may be conducted virtually or on-campus depending on availability.
Final Thoughts
Becoming a faculty member at the IEOR department of IIT Bombay presents an exceptional opportunity to contribute to cutting-edge research and academic innovation in one of India’s top technical institutions. With the freedom to explore interdisciplinary research, access to significant academic resources, and the ability to shape emerging scholars, this role is perfect for professionals with a vision for impact-driven education.
Those ready to transform their academic careers should consider applying today.
Quick Summary Table
Feature | Details |
Program Name | Faculty Positions at IIT Bombay – IEOR Department |
Host Country / Region | |
Funded By | Indian Institute of Technology Bombay |
Duration | Permanent (subject to probation) |
Study Mode | Full-time |
Eligibility | Ph.D. in relevant field, teaching/research experience |
Financial Support | Salary, travel grants, research grants, housing, health benefits |
Fields of Study | Industrial Engineering, OR, AI, Data Science, Automation |
Application Deadline | December 31, 2025 (priority: March 31, 2025) |
Official Website | See Below |
References
IEOR Department Recruitment Page
FAQs for IIT Bombay’s IEOR department
You can apply until December 31. For priority consideration, submit your application by March 31.
Applicants must hold a PhD in IEOR, Data Science, or related fields and show strong teaching or research potential.
You need to apply through the IIT Bombay Careers Portal and email the department after submission.
Key research areas include optimization, AI, cyber-physical systems, logistics, healthcare, sustainability, and financial modeling.
Teaching experience is preferred, especially at the postgraduate level, but not mandatory for entry-level positions.
Applications are reviewed periodically; shortlisted candidates are invited for interviews—either online or in-person.
Faculty receive competitive pay under the 7th Pay Commission, plus research grants, housing, and health coverage.
Yes, IIT Bombay actively supports diversity and encourages applications from SC, ST, OBC-NC, EWS, and PwBD categories.
Yes, fresh PhD holders may apply, although 2+ years of postdoctoral experience strengthens your application.
You must upload a CV, research and teaching statements, three publications, and referee details on the online portal.
