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Joint PhD Program
Seeking Brilliant Research Minds!
About The Program
A fully funded Joint PhD program designed for outstanding candidates passionate about Data Science, AI, ML, and Deep Learning with Thapar Institute of Engineering & Technology (TIET) in collaboration with The University of Queensland (UQ), Australia. Spend 3 years at TIET, India, and 1 year at UQ, Australia, gaining international exposure, mentorship from world-class faculty, and access to cutting-edge research facilities.
PROGRAM HIGHLIGHTS
Explore the unique advantages of the TIET–UQ Joint PhD Program and unlock world-class research opportunities in AI and Data Science.
Fully Funded
Tuition + Stipend
Complete financial support throughout your research journey
4-Year Duration
3 Years TIET + 1 Year UQ
Structured program spanning India and Australia
International Exposure
Global Research Network
Access to world-class research facilities and collaborations
Expert Mentorship
Top Researchers & Industry Leaders
Work alongside renowned experts in AI and Data Science
Research Profile
Global Recognition
Build a strong international presence in cutting-edge research
Ready to Shape the Future of AI?
Join a program that combines academic excellence with real-world impact
ELIGIBILITY CRITERIA
Join the next generation of AI and Data Science researchers. We're seeking exceptional minds ready to push the boundaries of technology.
Undergraduate
B.E./B.Tech in Computer Science or related fields
Postgraduate
M.E./M.Tech in Computer Science or related fields
Domain Expertise
Artificial Intelligence, Machine Learning, Deep Learning, Data Science
Featured Research Themes
Explore cutting-edge PhD research opportunities across AI, Data Science, and Machine Learning
JOINT-PHD-001
Urbanization, Climate Change, and Public Health: A Data-Driven Approach to Sustainable Policy
Urbanization is reshaping cities, increasing energy use, emissions, and health challenges. Cross-country and regional data reveal gaps in sanitation, energy efficiency, and health outcomes, highlighting the need for targeted, data-driven...
Dr. Anju Bala (TIET) • Dr. Shreya Ghosh (UQ)
JOINT-PHD-002
Supporting Complex Decision Making in Nephrology Using ML-Based Decision-Support Tools
The project focuses on developing machine-learning–based decision support tools to assist nephrologists in optimizing drug therapy for kidney transplant patients. By leveraging non-invasive biomarkers, it aims to predict the type,...
Dr. Harpreet Singh (TIET) • Prof. Tim Miller (UQ) • Dr. Ashish Sharma (External)
JOINT-PHD-003
Explainable AI via Embedded Provenance Techniques
The research tackles the black-box nature of AI by embedding provenance mechanisms within machine-learning models to enhance transparency and trust. It aims to deliver explainable, tamper-evident AI outputs suitable for...
Prof. Maninder Singh (TIET) • Prof. Ryan Ko (UQ)
JOINT-PHD-004
RL-Based Quadruped and Biped Locomotion for Adaptive Robotic Control
This project investigates reinforcement learning–based locomotion control for quadruped and biped robots, enabling adaptive, energy-efficient, and stable movement across diverse terrains. Emphasis is placed on safety and interpretability by integrating...
Prof. Pauline Pounds (UQ) • Dr. Sachin Kansal (TIET)
JOINT-PHD-005
Emotion-Aware Digital Therapeutics for Stress Management and Healthy Eating
The research examines the growing connection between mental health challenges and unhealthy eating behaviors among young adults, proposing an AI-driven, emotion-aware digital therapeutic. By leveraging multimodal emotion recognition, the system...
Prof. Inderveer Chana (TIET) • A/Prof. Dhaval Vyas (UQ)
Apply for Joint PhD program
Join the next generation of AI researchers
Shaping Tomorrow's Research Leaders
More than a degree, this Joint PhD Program is a gateway to becoming part of a vibrant international community of innovators and thinkers. With full funding, global research exposure, and opportunities to work on real-world challenges, it empowers scholars to make lasting contributions in Artificial Intelligence and Data Science. Together, we are building a generation of researchers equipped to lead, inspire, and transform the world.