Please keep visiting this webpage for updates.
Schedule:
Interview schedule (all interviews on December 09) | MSTeams Meeting link |
Online test and registration: Registration link is now closed. Mandatory for interviews. |
December 02 - December 05, 2022 Complete registration by 11:59pm, 5th December 2022. |
Interviews: | December 9, 2022 |
Buffer Days for Interviews: | December 8 and 10, 2022 |
Admission Procedure:
Candidates will be shortlisted for interview under the Teaching Assistant (TA), Research Assistant (RAP), Fellowship (FA) and Externally Supported (EX) categories. All shortlisted candidates should fill up the online registration form and along with answers to the question paper. Both will be made available online on this page as per the above schedule. Please see the letter from Head of the Department for more details.
Many details are available on IEOR PhD Admissions Page and on IIT Bombay PhD Admissions Page. Please see them for rules, regulations, past question papers, FAQs etc.
RAP Positions
IEOR will be considering candidates for two Research Assistantship (RAP) positions in the following research projects. These two positions are in addition to the regular admissions of candidates in all areas of IEOR.
Project 1: Computational aspects of digital pathology
Supervisors: Narayan Rangaraj (IEOR) and Santosh Noronha (Chemical Engineering & Tata Centre for Technology and Design)
Broad focus of the project is on developing optimal algorithms for two sets of problems inherent to digital pathology: (1) fast near/optimal approaches towards establishing autofocus of objects under very high magnification, and (2) development of an AI tool to classify biopsy samples for rare disease conditions. The candidate may be required to do coursework in image processing and computer vision. The Tata Centre for Technology and Design at IIT Bombay offers fellowships at 1.5x the Institute TA scale.
Project 2: AI for automated threat detection
Supervisor: Prof Manjesh Hanawal, IEOR
As more and more devices are connected to the Internet, it is important that all the software and hardware used in them are free from vulnerabilities and backdoors. The project aims to study how AI/ML techniques can be leveraged to improve the security of these devices and develop algorithms to automatically detect threats. Required backgrounds: CS, ECE, EE, and Maths.
Contact Us
For any concerns or queries, email us at admissions@ieor.iitb.ac.in or call IEOR office at +91 22 2576 7651 during working hours.