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- Tasks: Engage in a 4-year PhD project on AI for predicting neurodegenerative disorders.
- Company: Join AstraZeneca and the University of Cambridge, leaders in neuroscience and AI research.
- Benefits: Gain hands-on experience, collaborate with experts, and access cutting-edge resources.
- Why this job: Be part of an exciting interdisciplinary project with real-world impact on healthcare.
- Qualifications: Open to candidates with a background in psychology, neuroscience, or data science.
- Other info: Work across two prestigious sites and contribute to groundbreaking research.
The predicted salary is between 36000 - 60000 £ per year.
Applications are invited for a 4-year PhD studentship based in the Department of Psychology, University of Cambridge and the new AstraZeneca Discovery Centre at Cambridge. The student will be working on a collaborative project jointly supervised by Professor Zoe Kourtzi at the Department of Psychology Cambridge in collaboration with AstraZeneca's Neuroscience (Dr Keith Tan, Dr Andrew Lowe) and Data Science & AI (Dr Philip Teare, Dr Gayathri Mohankumar) teams and will have the opportunity to work across the two sites.
The project, entitled ‘Multimodal AI-guided tools for early prediction of disease progression in neurodegenerative disorders’ is in the field of AI for Neuroscience that has generated much excitement in both academia and industry. The project focuses on the development and implementation of AI-guided approaches for early prediction of neurodegenerative disorders.
In particular, we aim to develop an innovative data-driven approach that capitalises on state-of-the-art algorithms from artificial intelligence (foundational models) to mine multimodal data from polygenic risk scores, MRI scans, biomarkers and cognitive tasks for early prediction of disease progression. Using this cross-disciplinary approach, we will develop AI-guided tools that predict individualised disease trajectories. We will optimise and validate these tools using large-scale research data and real-world data from clinical trials to assess their efficacy in identifying the right patients for the right treatment.
Astra Zeneca funded Non clinical PhD Studentship employer: Yallahejra
Contact Detail:
Yallahejra Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Astra Zeneca funded Non clinical PhD Studentship
✨Tip Number 1
Network with professionals in the field of AI and neuroscience. Attend relevant conferences or seminars where you can meet researchers and industry experts, including those from AstraZeneca. This can help you gain insights into the project and make valuable connections.
✨Tip Number 2
Familiarise yourself with the latest advancements in AI applications within neuroscience. Read recent publications and case studies to understand how AI is being used for disease prediction, which will demonstrate your genuine interest and knowledge during interviews.
✨Tip Number 3
Engage with the research community at the University of Cambridge. Reach out to current PhD students or faculty members in the Department of Psychology to learn more about their work and the collaborative environment, which can give you an edge in understanding the culture and expectations.
✨Tip Number 4
Prepare to discuss your technical skills related to data science and AI. Be ready to showcase any relevant projects or experiences that highlight your ability to work with multimodal data and algorithms, as this will be crucial for the role.
We think you need these skills to ace Astra Zeneca funded Non clinical PhD Studentship
Some tips for your application 🫡
Understand the Project: Familiarise yourself with the project titled 'Multimodal AI-guided tools for early prediction of disease progression in neurodegenerative disorders'. Highlight your understanding of AI in Neuroscience and how it relates to the project in your application.
Tailor Your CV: Ensure your CV reflects relevant experience in psychology, neuroscience, or data science. Include any research projects, publications, or skills that align with the requirements of the studentship.
Craft a Compelling Cover Letter: Write a cover letter that not only expresses your enthusiasm for the position but also outlines your specific interest in the collaboration between academia and industry. Mention how your background makes you a suitable candidate for this interdisciplinary project.
Highlight Relevant Skills: In your application, emphasise any experience with AI, machine learning, or data analysis. Discuss your familiarity with tools and techniques used in neuroimaging or cognitive assessments, as these will be crucial for the role.
How to prepare for a job interview at Yallahejra
✨Understand the Project Scope
Familiarise yourself with the specifics of the project, especially the focus on AI-guided tools for neurodegenerative disorders. Be prepared to discuss how your background and skills align with the project's goals.
✨Showcase Relevant Experience
Highlight any previous research or projects related to AI, neuroscience, or data science. Be ready to provide examples of how you've applied these skills in practical situations.
✨Prepare Questions for Your Interviewers
Think of insightful questions to ask about the collaboration between the University of Cambridge and AstraZeneca. This shows your genuine interest in the role and helps you understand the working environment better.
✨Demonstrate Teamwork Skills
Since this position involves collaboration across different teams, be prepared to discuss your experiences working in multidisciplinary teams. Highlight how you communicate and contribute to group projects.
