Back to search results

Research Associate in Surgical Vision and Artificial Intelligence

Imperial College London - Faculty of Medicine

Location: London, Hybrid
Salary: £48,056 to £49,895 per annum
Hours: Full Time
Contract Type: Fixed-Term/Contract
Placed On: 10th September 2024
Closes: 23rd September 2024
Job Ref: MED04641
 

Applicants are invited to apply for a new vacancy at Research Associate level in Surgical Vision and Artificial Intelligence for intraoperative surgical guidance during cancer resection. The post is based within the Hamlyn Centre at Imperial College London and the appointed applicant will carry out research at the South Kensington laboratories. The Hamlyn Centre is dedicated to developing safe, effective and accessible imaging, sensing and robotics technologies that can reshape the future of healthcare for both developing and developed countries. The Hamlyn Centre is part of the Institute of Global Health Innovation and is supported by two stake-holding departments, Mechanical Engineering, and Surgery & Cancer.

The post is funded by the EPSRC grant ‘Self-propelled soft robotic endoscopes for next-generation gastrointestinal surgery and beyond’ – Robogast (PI Professor Ferdinando Rodriguez y Baena). This 5-year programme will build self-propelled soft robotic endoscopes for use in the diagnosis and minimally invasive treatment of conditions of the lower gastrointestinal (GI) tract.

Duties and responsibilities

You will play a pivotal role in developing a cognitive platform for surgical navigation during colonoscopy. This platform will enable accurate and highly personalised tissue characterisation with the aim of improving both the efficacy and safety of tumour resections. To this effect, the project focuses on computer vision and artificial intelligence (AI) for intraoperative surgical navigation and visualisation during robotic-assisted cancer resection. You will be a key member of a large team of engineers, scientists and clinicians, from multiple departments of Imperial College and the NHS. Key responsibilities include the development of a platform that integrates endoscopic vision data with other sensing modalities such as optical spectroscopy, providing better visualisation and navigation for the robot. This will involve the use of advanced machine learning methodologies for the analysis of the multimodal and optical spectroscopy data.

Essential requirements

You will hold a PhD in Visual Computing, Machine Learning, AI, Image Guided Interventions or a closely related discipline, or equivalent research, industrial or commercial experience, and have programming experience in C++/Python, ML and computer vision. Experience of working with clinical partners is important, and you should also have a creative approach to research projects and exceptional problem-solving skills. Communication and scientific writing skills are also required to ensure the widest impact of the work. You will also be committed to championing the ‘Imperial Expectations’.

Further Information

This is a Full Time and fixed term for 3 years based at the South Kensington Campus

Should you require any further details on the role please contact: Professor Daniel Elson at Daniel.Elson@imperial.ac.uk

For technical issues when applying online please email sjobs@ic.ac.uk

To apply, click the 'Apply' button above.

We value your feedback on the quality of our adverts. If you have a comment to make about the overall quality of this advert, or its categorisation then please send us your feedback
Advert information

Type / Role:

Subject Area(s):

Location(s):

Job tools
 

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Ok Ok

PhD Alert Created

Job Alert Created

Your PhD alert has been successfully created for this search.

Your job alert has been successfully created for this search.

Manage your job alerts Manage your job alerts

Account Verification Missing

In order to create multiple job alerts, you must first verify your email address to complete your account creation

Request verification email Request verification email

jobs.ac.uk Account Required

In order to create multiple alerts, you must create a jobs.ac.uk jobseeker account

Create Account Create Account

Alert Creation Failed

Unfortunately, your account is currently blocked. Please login to unblock your account.

Email Address Blocked

We received a delivery failure message when attempting to send you an email and therefore your email address has been blocked. You will not receive job alerts until your email address is unblocked. To do so, please choose from one of the two options below.

Max Alerts Reached

A maximum of 5 Job Alerts can be created against your account. Please remove an existing alert in order to create this new Job Alert

Manage your job alerts Manage your job alerts

Creation Failed

Unfortunately, your alert was not created at this time. Please try again.

Ok Ok

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

Create PhD Alert

Create Job Alert

When you create this PhD alert we will email you a selection of PhDs matching your criteria.When you create this job alert we will email you a selection of jobs matching your criteria. Our Terms and Conditions and Privacy Policy apply to this service. Any personal data you provide in setting up this alert is processed in accordance with our Privacy Notice

 
 
More jobs from Imperial College London

Show all jobs for this employer …

More jobs like this
Join in and follow us

Browser Upgrade Recommended

jobs.ac.uk has been optimised for the latest browsers.

For the best user experience, we recommend viewing jobs.ac.uk on one of the following:

Google Chrome Firefox Microsoft Edge