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We have 411 intelligence PhD Projects, Programmes & Scholarships

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intelligence PhD Projects, Programmes & Scholarships

We have 411 intelligence PhD Projects, Programmes & Scholarships

Automated experimental functional materials discovery for net zero technologies

The discovery of materials that will drive technologies for the net zero transition, such as batteries, solar absorbers, rare-earth-free magnets for wind power and myriad other unmet needs, is a scientific and societal grand challenge that requires experimental realisation of materials in the laboratory. Read more

High-throughput first-principle simulations of charge transport in organic semiconductors

This project focuses on application of first-principle, fully quantum simulation methods such as Hybrid Monte-Carlo to study charge transport in a vast class of quasi-2D molecular organic semiconductors (rubrene, pentacene, and >4000 other materials). Read more

PhD Research Scholarship Opportunity in NMR analysis of illicit drugs

We’re looking for a highly-motivated PhD applicant to join our multi-disciplinary team, to work on developing a field-invariant NMR spectroscopy database for the analysis of illicit drugs. Read more
Last chance to apply

AI/ML-driven Resource Management Framework for 6G MEC-assisted Industrial IoT Networks

Details of PhD. Industrial internet-of-things (IIoT) use cases (e.g., self-driving cars and Industry 4.0) have stringent requirements (e.g., low-latency and high-reliability) that are out of reach of legacy connectivity solutions (e.g., Wi-Fi and 4G). Read more

Responsible Decentralised AI and Big Data Analytics

  Research Group: Applied Computing
The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Responsible AI for Health and Social Care

The increasing adoption of Artificial Intelligence (AI) technologies that could impact humanity raises increasing concerns from general public, industry and regulatory bodies. Read more

Using Generative AI to Draw Diagrams

Designing algorithms for human-readable, effective diagrams is difficult. The algorithm must be able to handle a broad range of datasets, some of which will not readily lend themselves to visualisation. Read more

Machine Learning Model for Soft Robotic Gripper

Soft robotics are considered as a part of Robotics 2.0 which is related to the real-world environment with low predictability, low programmability, creativity, adaptation, and soft interaction. Read more

Reliable Guided Conversational AI

Formal dialogue models have been developed over the last several decades to shed light on the conversational practises of people in a wide range of communicative contexts. Read more

Advancing the state of the art in Argument Mining

Argument mining is the automatic identification and extraction of argumentative structure from within real world textual resources such as Web pages, Internet discourse, legal documents, or newspaper articles. Read more

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