PhD/RA/PostDoc/Internship opportunities
PhD/RA/PostDoc/Internship opportunities
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We are always looking to recruit excellent researchers, including UG and PhD interns, PhDs, and postdoctoral researchers to work with us on projects on computer vision for mobility impairments. If you are interested, feel free to drop a message to Dr. Gionfrida at letizia.gionfrida@kcl.ac.uk.
One funded MRC DTP PhD studentship on vision-based wearable robotic systems for activity recognition [CLOSED]
Title: Vision in Soft Tactile for Contextual-aware Activity Recognition in Clinical Rehabilitation for Individuals with Cerebral Palsy
Project Description: Wearable robotics for clinical rehab relies on soft textile sensors for activity recognition. These cost-effective and discreet sensors outperform rigid ones in detecting human activities. To enhance their capabilities, we're integrating computer vision to gather context information, aiming to improve movement detection in clinical rehab. This can aid motor function recovery for conditions like stroke and Parkinson's disease, and extend to recognizing daily activities. You'll learn computer vision, and deep learning libraries like PyTorch, and work with clothing-embedded sensors. Yearly goals: (1) embed cameras in fabric for movement analysis, (2) categorize activities and terrains using motion data, (3) evaluate using vision techniques for accurate fabric movement assessment, with the ultimate goal of assessing behaviour and intention for tailored assistance.
The studentship will be in collaboration with Dr. Matthew Howard, Reader at the Centre for Robotics Research, Dr Adam Shortland, Reader in Clinical Biomechanics at Biomedical Engineering & Imaging Sciences, and Professor Louise Rose, Head of Division, Applied Technologies for Clinical Care and Professor of Critical Care Nursing at King's College London.
To be considered for this opportunity, the ideal candidate should possess the following qualifications and skills:
A relevant degree in computer science, mechanical or electrical engineering, bioengineering, or robotics, strong programming skills and a solid mathematical background.
Experience in writing scientific reports.
First-Class Honours at Undergraduate level or Distinction at Master's level
Excellent communication skills in English, both written and spoken.
A positive attitude towards collaborative teamwork in an international environment.
Proficiency in computer programming languages such as Python, C++, and Matlab.
More info here: https://kcl-mrcdtp.com/project/vision-in-soft-tactile-for-contextual-aware-activity-recognition-in-clinical-rehabilitation/
One half-funded PhD studentship to work on the MyoSuite [OPEN]
Title: Incorporation of High-level inputs in musculoskeletal simulator
Project Description: Current frameworks to investigate synergies in wearable robotics have emphasised the need for environmental awareness in musculoskeletal models to increase accuracy for unseen objects and tasks.6 Recently, MyoDex showed that low-level learned physiological representations share muscle coordination across tasks, which, like human synergistic control, facilitates learning across tasks.7 However, to synthesise new motor behaviours with environmental cues, higher-dimensional information (e.g., vision-tactile) for generalizability is needed. The proposed research aims to enhance dexterous assistive multi-finger manipulations by integrating high-dimensional real-world inputs, such as visuo-tactile information, into a physiologically accurate hand model to perform skilled manipulation tasks.
I am currently in search of potential collaborators who are open to sharing in the financial commitment of a 3.5-year tuition program, which amounts to a total of £52.5k. This partnership would extend throughout the entire duration of a student's involvement in the Myosuite project. It is worth noting that we extend this invitation to companies of all sizes, regardless of their organizational scale.
Engaging in these collaborative endeavours necessitates the participating company's willingness to contribute 50% of the studentship's expenses, equating to a £52.5k commitment over the course of three years. It is important to highlight that co-funded iCASE projects are subjected to a meticulous evaluation process, overseen by peer review, upon submission.
For more comprehensive details regarding the iCASE call and how to get involved, please refer to the following link: iCASE Project Call.
Research Assistant Position on Pose Estimation for Arm Kinematics in Stroke Rehabilitation [CLOSED]
Title: Pose Estimation for Accurate Arm Kinematics in Stroke Rehabilitation
Project Description: This part-time Research Assistant position focuses on advancing pose estimation models to accurately assess arm kinematics in stroke survivors. The role is based within the Centre for Human and Applied Physiological Sciences, Faculty of Life Sciences and Medicine at King’s College London. By leveraging computer vision, the project aims to measure and analyze arm biomechanics in stroke patients, with the goal of improving rehabilitation outcomes. The successful candidate will be responsible for testing, data analysis, and reporting results, contributing to the development of innovative methods for tracking human movement in clinical rehabilitation.
The post offers an opportunity to develop skills in computer vision, biomechanics, and pose estimation while working with experts in stroke rehabilitation. Supervision will be provided by Dr. Ulrike Hammerbeck, Dr. Letizia Gionfrida, and Dr. Irene Di Giulio.
Supervisors:
Dr. Ulrike Hammerbeck (Centre for Human and Applied Physiological Sciences) (PI)
Dr. Letizia Gionfrida (Informatics, NMES) (Co-I)
Dr. Irene Di Giulio (Centre for Human and Applied Physiological Sciences) (Co-I)
Location: The role is fully based at Guy’s Campus, King’s College London.
Position Details:
Duration: 1-year fixed-term contract (3 March 2025 – 2 March 2026)
Working Hours: Part-time (17.5 hours per week)
More information here: https://www.jobs.ac.uk/job/DKS535/research-assistant
One funded MRC DTP PhD studentship on vision-based wearable robotic systems for activity recognition [CLOSED]
Title: Vision in Soft Tactile for Contextual-aware Activity Recognition in Clinical Rehabilitation for Individuals with Cerebral Palsy
Project Description: Wearable robotics for clinical rehab relies on soft textile sensors for activity recognition. These cost-effective and discreet sensors outperform rigid ones in detecting human activities. To enhance their capabilities, we're integrating computer vision to gather context information, aiming to improve movement detection in clinical rehab. This can aid motor function recovery for conditions like stroke and Parkinson's disease, and extend to recognizing daily activities. You'll learn computer vision, and deep learning libraries like PyTorch, and work with clothing-embedded sensors. Yearly goals: (1) embed cameras in fabric for movement analysis, (2) categorize activities and terrains using motion data, (3) evaluate using vision techniques for accurate fabric movement assessment, with the ultimate goal of assessing behaviour and intention for tailored assistance.
The studentship will be in collaboration with Dr. Matthew Howard, Reader at the Centre for Robotics Research, Dr Adam Shortland, Reader in Clinical Biomechanics at Biomedical Engineering & Imaging Sciences, and Professor Louise Rose, Head of Division, Applied Technologies for Clinical Care and Professor of Critical Care Nursing at King's College London.
To be considered for this opportunity, the ideal candidate should possess the following qualifications and skills:
A relevant degree in computer science, mechanical or electrical engineering, bioengineering, or robotics, strong programming skills and a solid mathematical background.
Experience in writing scientific reports.
First-Class Honours at Undergraduate level or Distinction at Master's level
Excellent communication skills in English, both written and spoken.
A positive attitude towards collaborative teamwork in an international environment.
Proficiency in computer programming languages such as Python, C++, and Matlab.
More info here: https://kcl-mrcdtp.com/project/vision-in-soft-tactile-for-contextual-aware-activity-recognition-in-clinical-rehabilitation/
One funded PhD position on computer vision for wearable robotic systems [CLOSED]
Title: Enhancing Upper Limb Mobility for Individuals with Impairments: Context-Aware Control of Wearable Robotic Systems
To be considered for this opportunity, the ideal candidate should possess the following qualifications and skills:
A relevant degree in computer science, mechanical or electrical engineering, bioengineering, or robotics, along with strong programming skills and a solid mathematical background.
Experience in writing scientific reports.
Excellent communication skills in English, both written and spoken.
A positive attitude towards collaborative teamwork in an international environment.
Proficiency in computer programming languages such as Python, C++, and Matlab.
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