We invite applications for self-funded students to work in machine learning for safety-critical systems. The successful applicant will join the Wolfson School of Mechanical, Electrical and Manufacturing Engineering at Loughborough University under the supervision of Dr. Read more
Emotion recognition is the task of identifying human emotion, and is an increasingly important factor in the field of human computer interaction (HCI), with applications in healthcare, well-being, gaming, safety and security. Read more
Applications are invited to work on the development of advanced modelling techniques, based on existing novel high resolution, massively parallel schemes applicable to porous-media Simulations can include flows in porous media with the direct pore simulations as well as Darcy flows. Read more
Algorithmic contract theory is a new research field aiming to align the well-established field of contract theory with the new reality of cryptocurrency-based contracts. Contracts of all types facilitate trust and cooperation among various entities including in multi-agent settings where agents operate in uncertain conditions by employing various AI techniques. Read more
Plant diseases may affect the root, steam and leaves of plants resulting in a sizable drop of revenue for farmers as crop’s quality is affected and may lead to food shortage and food chain disruption [1]. Read more
It is hypothesized that the cognitive process in program comprehension involves “search” and “knowledge building” activity. In the former, gaze is characterized by saccades in which the programmer scans code for key features, structure and patterns. Read more
This project offers a chance to work on a truly disruptive and innovative research project in high-tech and high-value manufacturing, with a very high potential impact in aerospace and energy sectors. Read more
One of the main challenges in the development of data driven approaches to activity recognition is the availability of high quality and labelled datasets. … Read more
Tactile perception of graphical information has offered great potential in creating sensory substitution for the benefit of various applications. Read more
Artificial Intelligence, and specifically machine learning techniques, have been used to infer human activities by interpreting data from low level wearable, mobile and ambient sensors. Read more
This funded studentship provides an unrivalled opportunity to undertake modelling research pushing the frontiers of understanding and managing drinking water quality. Read more
Automated driving technology is promising a safer transport future due to its potential to avoid human errors that are currently responsible for most road traffic accidents. Read more
Muscles exhibit highly complex behaviour made up of thousands of individual muscle fibres, each with different properties, interacting with each other and the surrounding bio-mechanical structures. Read more
*Offer only available for the duration of your active subscription, and subject to change. You MUST claim your prize within 72 hours, if not we will redraw.
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