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- Tasks: Lead research in machine learning for public policy and global health.
- Company: Join the prestigious Department of Computer Science at Oxford University.
- Benefits: Work on impactful projects with governments and NGOs, plus access to cutting-edge resources.
- Why this job: Make a real difference in global health through innovative machine learning solutions.
- Qualifications: Strong background in computational statistics and machine learning required.
- Other info: Collaborative environment with opportunities to connect with international organisations.
The predicted salary is between 36000 - 60000 £ per year.
We’re hiring a postdoc to join my group in the Department of Computer Science at Oxford with the Machine Learning & Global Health network on machine learning for public policy and global health (EPSRC funded).
Help lead research in computational statistics and machine learning and drive impact with governments, NGOs, and international organizations!
Some recent publications:
Any questions, please get in touch or reach out to anyone from the Machine Learning & Global Health Network.
Postdoc at Oxford: machine learning & global health employer: The International Society for Bayesian Analysis
Contact Detail:
The International Society for Bayesian Analysis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoc at Oxford: machine learning & global health
✨Tip Number 1
Network like a pro! Reach out to current or former postdocs in the Machine Learning & Global Health network. A friendly chat can give us insights into the role and help us stand out.
✨Tip Number 2
Showcase your passion for global health! When we get the chance to chat with the hiring team, let’s share our thoughts on how machine learning can make a real difference in public policy.
✨Tip Number 3
Prepare for the interview by diving deep into their recent publications. We should be ready to discuss how our research aligns with their work and how we can contribute to their goals.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure our application gets noticed and shows we’re serious about joining the team at Oxford.
We think you need these skills to ace Postdoc at Oxford: machine learning & global health
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience in machine learning and global health. We want to see how your skills align with the research focus of our group, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about machine learning for public policy and global health. We love seeing enthusiasm, so let us know what excites you about this role!
Showcase Your Research Impact: When detailing your past research, focus on the impact it had. We’re looking for candidates who can drive change, so highlight any collaborations with governments or NGOs that demonstrate your ability to make a difference.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the whole process smoother for everyone involved!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research
Make sure you’re well-versed in the latest developments in machine learning and global health. Familiarise yourself with recent publications from the group and be ready to discuss how your work aligns with their research goals.
✨Understand the Impact
Be prepared to talk about how your research can influence public policy and benefit global health initiatives. Think of specific examples where machine learning has made a difference in these areas, and be ready to share your thoughts on potential applications.
✨Engage with the Network
Show that you’ve done your homework by mentioning key players in the Machine Learning & Global Health Network. If possible, reference any interactions or insights you've gained from reaching out to them, as this demonstrates your proactive approach and genuine interest.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Prepare insightful questions about the team’s current projects, future directions, and how they measure the impact of their work. This not only shows your enthusiasm but also helps you gauge if the position is the right fit for you.
