BITS Pilani Hyderabad Campus
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Fully Funded Joint PhD in Optimised Robust Segmentation for Machine Vision and Edge-AI BITS Pilani Hyderabad Campus in India
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded joint PhD program. Funding includes a BITS fellowship of ₹5,49,600 per year, an RMIT stipend of AUD 35,886 per year, full tuition scholarship at RMIT, overseas health cover, and a funded research stay in Melbourne for up to 1 year.
Deadline
Oct 10, 2026
Country
India
University
BITS Pilani Hyderabad Campus

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About this position
Applications are invited for a fully funded Joint PhD between BITS Pilani, Hyderabad Campus and RMIT University (Melbourne, Australia).
Research topic: Optimised Robust Segmentation in Machine Vision for Edge-AI (Project No. BRJP26100058). The project focuses on developing an optimized machine vision framework for real-time situational awareness in autonomous vehicles using Edge-AI hardware.
Research areas include computer vision, AI/ML for edge intelligence, FPGA-based hardware architecture for machine vision, and multicamera image processing.
Funding and benefits include a BITS fellowship of ₹5,49,600 per year, an RMIT stipend of AUD 35,886 per year, full tuition scholarship at RMIT, overseas health cover, and a funded research stay in Melbourne for up to one year.
Supervisors: Anakhi Hazarika and Nikumani Choudhury (BITS Hyderabad), Reza Hoseinnezhad and Amirali Khodadadian Gostar (RMIT).
Eligibility: highly motivated PhD candidates from ECE, CSE, or allied disciplines with interest in computer vision, edge AI, FPGA hardware, and machine learning for autonomous systems.
Deadline: 10 October 2026 for the January 2027 intake.
Apply via the provided link and contact [email protected] for more information.
Funding details
Fully funded joint PhD program. Funding includes a BITS fellowship of ₹5,49,600 per year, an RMIT stipend of AUD 35,886 per year, full tuition scholarship at RMIT, overseas health cover, and a funded research stay in Melbourne for up to 1 year.
What's required
Applicants should be highly motivated PhD candidates from ECE, CSE, or allied disciplines. The project is suited to candidates interested in computer vision, AI/ML for edge intelligence, FPGA-based hardware architecture, and multicamera image processing. The post implies a joint PhD with international mobility and research stay in Melbourne; no GPA, test score, or language requirement is stated.
How to apply
Apply through the linked application page. Interested candidates should submit their application before 10 October 2026 for the January 2027 intake. For queries, contact the listed email address.
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