Research Associate

Location: London, England
Application Deadline: 10 Jan 2025
Published: 7 hours ago

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About the role

Applications are invited for a research post to work with Dr Wenjia Bai on a project funded by the NIHR Imperial Biomedical Research Centre (BRC). The aim of the project is to develop machine learning and foundation model techniques that can be used for clinical brain image analysis. Machine learning and foundation models have received substantial research attention recently in the computer vision and natural language processing communities. Nevertheless, the generalisability and robustness of these models in medical imaging are relatively less investigated, possibly due to the lack of common benchmark datasets and also the lack of clear definition of clinically relevant downstream tasks.

The appointed Research Associate will undertake research in the area of foundation models and brain image analysis to address the aforementioned challenges. The research outcomes will be expected to be published in high-quality refereed international conferences and/or journals. The successful candidate will be expected to have an outstanding background in medical image analysis, computer vision, machine learning and programming. The researcher will be a member of the Data Science Institute (DSI) and the Biomedical Image Analysis Group (BioMedIA) based at the South Kensington Campus, Imperial College London, and will be supervised by Dr Wenjia Bai.

 

 

What you would be doing

  • Conduct research of excellence with appropriate supervision.
  • Develop novel algorithms and conduct data analysis.
  • Deploy the algorithms onto clinical datasets.
  • Publish in high-quality refereed conferences and/or journals.

 

What we are looking for

  • Hold a PhD (or near completion) in medical image analysis, computer vision or a closely related discipline, or equivalent research experience.
  • Proven experience and publication track record in medical image analysis, computer vision and machine learning.
  • Excellent programming skills.
  • Excellent verbal and written communication skills and the ability to write clearly and succinctly for publication.
  • Motivation of improving healthcare via computational and machine learning techniques.

 

 

What we can offer you

  • The opportunity to continue your career at a world-leading institution and be part of our mission to continue science for humanity.
  • Learning and collaboration opportunities within an inclusive, collegial, world-leading research environment.
  • Grow your career: Gain access to Imperial’s sector-leading dedicated career support for researchers as well as opportunities for promotion and progression
  • Sector-leading salary and remuneration package (including 39 days off a year and generous pension schemes).

 

Further information

This is a Full time, Fixed term (12 months) role based at our South Kensington Campus

This post is open to applicants who have submitted their PhD or pending submission of PhD.

If you require any further details on the role, please contact: Dr Wenjia Bai – w.bai@imperial.ac.uk, with the subject line stating RA BRC Pilot in the email and your CV.

 

Available documents

Attached documents are available under links. Clicking a document link will initialize its download.
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Please note that job descriptions are not exhaustive, and you may be asked to take on additional duties that align with the key responsibilities mentioned above.

We reserve the right to close the advert prior to the closing date stated should we receive a high volume of applications. It is therefore advisable that you submit your application as early as possible to avoid disappointment.

If you encounter any technical issues while applying online, please don’t hesitate to email us at support.jobs@imperial.ac.uk. We’re here to help.

About Imperial

Welcome to Imperial, a global top ten university where scientific imagination leads to world-changing impact.

Join us and be part of something bigger. From global health to climate change, AI to business leadership, here at Imperial we navigate some of the world’s toughest challenges. Whatever your role, your contribution will have a lasting impact.

As a member of our vibrant community of 22,000 students and 8,000 staff, you’ll collaborate with passionate minds across nine London campuses and a global network.

This is your chance to help shape the future. We hope you’ll join us at Imperial College London.

Our Culture

We work towards equality of opportunity, to eliminating discrimination, and to creating an inclusive working environment for all. We encourage applications from all backgrounds, communities and industries, and are committed to employing a team that has diverse skills, experiences and abilities. You can read more about our commitment on our webpages.

Our values are at the root of everything we do and everyone in our community is expected to demonstrate respect, collaboration, excellence, integrity, and innovation.

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