PhD Research Studentships
Remote diagnosis and teleoperation with multimodal sensing and feedback
| Supervisors: | Thilina DULANTHA LALITHARATNE and Kaspar ALTHOEFER |
| Apply by: | 29 February 2024 |
| Start in: | September (Semester 1) |
Description
Project description:
Remote diagnosis and teleoperation offer numerous advantages across various domains, including remote patient diagnoses, minimally invasive robotic surgeries, and teleoperated robotic systems in extreme environments like nuclear decommissioning. These applications require real-time multimodal sensing and feedback generation, encompassing visual, haptic, and auditory signals, which are vital for effective remote diagnosis and control. This project aims to develop novel multimodal sensing technologies for remote diagnosis, investigate new human-in-the-loop communication frameworks between local and remote sites, and introduce novel multimodal feedback generation methods that leverage data-driven/AI approaches. We will particularly focus on use cases related to remote patient diagnosis, enabling patients in regions with limited access to specialized medical professionals to connect with doctors for early diagnosis and treatment.
Qualifications:
Candidates should have a first-class honours degree (minimum 2:1 honours) or an equivalent qualification, or a good MSc/MRes degree, in mechanical or electrical engineering, computer science, or a closely related field in robotics. Strong motivation and a commitment to achieving excellence are essential. Proficiency in programming languages such as Python, C/C++, and/or MATLAB is also necessary. Applicants with advanced knowledge in robotics (especially soft robotics), machine learning, and AI, mechatronics, multimodal sensing, and/or prior research experience in these areas are highly encouraged to apply.
About Queen Mary University of London (QMUL) and Advanced Robotics @ Queen Mary (ARQ):
This project will be conducted in collaboration between ARQ (http://www.qmul.ac.uk/robotics ) at Queen Mary University of London. ARQ is a multidisciplinary research centre situated in Mile End Campus, QMUL. It operates across faculties and focuses on various research areas including robot design and mechatronics, human-robot interaction, bio-inspired robotics, social robotics, control and systems engineering, autonomous systems, field robotics, and sensing and biomedical mechatronics. QMUL is a research-intensive institution, ranked 2nd in the UK for the quality of its engineering research outputs in the REF2021 exercise.
Funding
Funded by: Queen Mary ResearchUK students only.
This studentship arrangement covers home tuition fees and provide an annual stipend for up to three years (currently set at the 2023/24 stipend rate of £20,622 pa)
Note that Queen Mary Research Studentships cover home-rated tuition fees only (See: www.welfare.qmul.ac.uk/money/feestatus/ for details)
Overseas applicants would be required to meet the difference between home and international tuition fees
Eligibility
- The minimum requirement for this studentship opportunity is a good honours degree (minimum 2(i) honours or equivalent) or MSc/MRes in a relevant discipline.
- If English is not your first language, you will require a valid English certificate equivalent to IELTS 6.5+ overall with a minimum score of minimum score of 6.0 in each of Writing, Listening, Reading and Speaking).
- Candidates are expected to start in September (Semester 1).
Contact
For informal enquiries about this opportunity, please contact Thilina DULANTHA LALITHARATNE or Kaspar ALTHOEFER.
Apply
Start an application for this studentship and for entry onto the PhD Mechanical Engineering full-time programme (Semester 1 / September start):
Please be sure to quote the reference "SEMS-PHD-532" to associate your application with this studentship opportunity.
| Related website: | https://www.sems.qmul.ac.uk/staff/t.dulanthalalitharatne | |
| SEMS Research Centre: | ||
| Keywords: | Artificial Intelligence, Human Computer Interaction, Machine Learning, Control Systems, Cybernetics, Electrical Engineering, Electronic Engineering, Mechanical Engineering, Mechatronics, Robotics |