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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 using innovative machine learning techniques.
- Qualifications: PhD in relevant field and strong background in machine learning and statistics.
- Other info: Collaborative environment with opportunities for professional growth and networking.
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. They can give you insider info and might even put in a good word for you!
✨Tip Number 2
Show your passion for global health! When you get the chance to chat with the hiring team, make sure to highlight how your machine learning skills can make a real difference in public policy and health outcomes.
✨Tip Number 3
Prepare for the interview by brushing up on recent publications in the field. Being able to discuss these will show that you're not just knowledgeable but also genuinely interested in the work being done at Oxford.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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 highlights your experience in machine learning and global health. We want to see how your skills align with the research we’re doing at Oxford, 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 how you can contribute to our team. Keep it engaging and personal – we love to see your enthusiasm!
Showcase Your Research Impact: When detailing your past work, focus on the impact of your research. We’re interested in how your findings have influenced public policy or global health initiatives. Let us know how you’ve made a difference!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets into the right hands. Plus, it helps us keep track of all the amazing candidates like you!
How to prepare for a job interview at The International Society for Bayesian Analysis
✨Know Your Research Inside Out
Make sure you’re well-versed in your own research and the recent publications from the group. Be ready to discuss how your work aligns with machine learning applications in global health, as this will show your genuine interest and understanding of the field.
✨Prepare for Technical Questions
Expect questions that dive deep into computational statistics and machine learning techniques. Brush up on key concepts and be prepared to explain your methodologies clearly. Practising with a friend or colleague can help you articulate your thoughts better.
✨Showcase Your Impact
Think about how your previous work has made an impact, especially in relation to public policy or global health. Be ready to share specific examples of how your research has influenced decision-making or contributed to real-world solutions.
✨Engage with the Interviewers
Don’t just answer questions; engage in a dialogue. Ask insightful questions about their current projects and express your enthusiasm for collaborating with governments and NGOs. This shows you’re not only interested in the position but also in contributing to their mission.
