At a Glance
- Tasks: Teach and mentor students while integrating machine learning with economic theory.
- Company: Leading university in China with a focus on innovative research.
- Benefits: Competitive salary, accommodation, relocation support, and comprehensive benefits.
- Why this job: Join a vibrant research programme and lead in data science initiatives.
- Qualifications: PhD in Economics and experience in machine learning applications.
- Other info: Opportunity to shape the future of economics education and research.
The predicted salary is between 36000 - 60000 £ per year.
A leading university in China seeks a Professor in Economics to join its School of Economics. The successful candidate will focus on integrating machine learning methods with economic theory while maintaining a vibrant research programme. Besides teaching and mentoring undergraduate and graduate students, the candidate will contribute to the department's leadership in innovative data science initiatives.
This role offers a competitive salary and comprehensive benefits, including accommodation and relocation support.
Professor of Economics — ML-Driven Research & Relocation in Nottingham employer: University Of Nottingham
Contact Detail:
University Of Nottingham Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Professor of Economics — ML-Driven Research & Relocation in Nottingham
✨Tip Number 1
Network like a pro! Reach out to fellow academics and professionals in the field of economics and machine learning. Attend conferences or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your research! Prepare a portfolio that highlights your innovative projects and publications. This will demonstrate your expertise and passion for integrating machine learning with economic theory.
✨Tip Number 3
Practice your interview skills! Mock interviews can help you articulate your vision for the role and how you plan to contribute to the department's leadership in data science initiatives.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application and keep track of your progress. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Professor of Economics — ML-Driven Research & Relocation in Nottingham
Some tips for your application 🫡
Show Your Passion for Economics: When writing your application, let your enthusiasm for economics shine through! We want to see how you integrate machine learning with economic theory and how that fuels your research. Make it personal and engaging!
Highlight Your Teaching Experience: Don’t forget to mention your teaching and mentoring experience! We’re looking for someone who can inspire both undergraduates and graduates, so share any innovative methods or successes you've had in the classroom.
Emphasise Your Research Contributions: Make sure to detail your vibrant research programme. We want to know about your past projects and how they align with our focus on data science initiatives. Be specific about your contributions and future plans!
Apply Through Our Website: Finally, remember to apply through our website! It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. We can’t wait to hear from you!
How to prepare for a job interview at University Of Nottingham
✨Know Your Stuff
Make sure you brush up on both economic theory and machine learning methods. Be ready to discuss how you can integrate these two fields in your research. Having specific examples of your past work or projects will really help you stand out.
✨Showcase Your Teaching Skills
Since this role involves mentoring students, be prepared to talk about your teaching philosophy and methods. Think of engaging ways you've taught complex concepts in the past and how you plan to inspire students in the future.
✨Research Programme Insights
Have a clear vision for your research programme ready to share. Discuss how you plan to maintain a vibrant research agenda while contributing to innovative data science initiatives. This shows you're proactive and aligned with the department's goals.
✨Cultural Fit and Relocation Readiness
Understand the university's culture and values, especially since it's in China. Be open about your willingness to relocate and adapt to a new environment. Showing enthusiasm for this aspect can make a positive impression.