At a Glance
- Tasks: Develop innovative AI models for predicting cancer risk using multimodal data.
- Company: Join the University of Sheffield's cutting-edge AI Research Engineering team.
- Benefits: Engage in impactful research with opportunities for professional growth and collaboration.
- Other info: Collaborate with national experts in a supportive and dynamic research environment.
- Why this job: Make a difference in healthcare by advancing ethical AI practices in cancer research.
- Qualifications: Experience in AI research and a passion for improving health outcomes.
The predicted salary is between 55000 - 65000 £ per year.
The University of Sheffield’s AI Research Engineering team is hiring an AI Research Engineer to develop adaptive multimodal learning models for cancer risk prediction.
You will build robust, interpretable software using open-source practices and work with national collaborators to shape an open research infrastructure for cancer.
You will contribute to baseline model implementations, data integration, and evaluation protocols while advancing ethical and sustainable research practices within CD3.
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Senior AI Research Engineer: Multimodal Cancer Risk Prediction in Sheffield employer: The University of Sheffield
The University of Sheffield is an exceptional employer, offering a vibrant work culture that prioritises employee development and well-being. As a Senior Technician in the Geotechnical & Water Engineering Research Group, you will benefit from generous annual leave, flexible working arrangements, and a commitment to professional growth through mentoring and training opportunities. Located on a central campus, you'll be part of a diverse community that values innovation and collaboration, making it a rewarding place to contribute to meaningful research and education.
Contact Details:
The University of Sheffield Recruitment Team
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