🎓 Welcome to the VSIP Research Opportunities Portal
The Visual & Signal Information Processing (VSIP) Group motivates candidates for Postgraduate (PG) and Doctoral (PhD) research positions. The VSIP research group is engaged in advancing knowledge in the domains of artificial intelligence, signal and image processing, computer vision, machine learning, and interdisciplinary applications. We aim to foster an environment of academic excellence, innovation, and impactful research.
🔹 Opportunities at VSIP include:
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Pursuing advanced research on fundamental and applied problems of national and global relevance.
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Working under the guidance of experienced faculty and collaborators from reputed institutions and industries.
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Access to state-of-the-art resources, computational facilities, and research infrastructure.
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Opportunities for collaborative projects, internships, and academic exchange with national and international organizations.
Interested candidates are encouraged to regularly check this page (or institute page: www.thapar.edu ) for calls, eligibility criteria, and application procedures related to PG/PhD positions under the VSIP Group.
Ph.D. Opportunity (Jointly with University of Queensland, Brisbane, Australia)
Project Title: Deepfake Detection and Explainability in Social Media Video Content
(Under the umbrella of CoDSaI, Thapar Institute of Engineering & Technology (TIET), Patiala)
Applications are invited from B.Tech./M.Tech./Master’s degree holders for a fully funded joint Ph.D. program offered by TIET, Patiala in collaboration with the University of Queensland (UoQ), Brisbane, Australia.
📌 Key Details
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Application Deadline: 25 August 2025
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Program Structure: First 3 years at TIET, final year at UoQ, Brisbane
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Eligibility & Requirements:
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Strong background in advanced Machine Learning, PyTorch, CUDA, and Vision Transformers
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Solid mathematical aptitude and analytical skills
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Proficiency in English communication (oral and written)
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Demonstrated ability to mentor and guide undergraduate students
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How to Apply
Interested candidates should submit visit https://dsai.thapar.edu and fill the online application form. You may my reference in the application form. Applications will be reviewed on a rolling basis, and shortlisted candidates will be contacted for interviews.