At a Glance
- Tasks: Support groundbreaking research in economics, AI, and robotics alongside top economists and data scientists.
- Company: Ellison Institute of Technology, a leader in innovative research.
- Benefits: Gain valuable experience, mentorship, and the chance to influence policy.
- Other info: One-year position with potential for renewal in a dynamic research environment.
- Why this job: Make a real impact on research that shapes future policies in tech.
- Qualifications: Bachelor's or Master's in Economics with strong quantitative skills and Python expertise.
The predicted salary is between 30000 - 40000 £ per year.
The Ellison Institute of Technology is seeking a Predoctoral Research Fellow to support research in economics with a focus on AI and robotics. The role involves collaboration with economists and data scientists, contributing to impactful research outputs.
Preferred candidates will hold a Bachelor's or Master's in Economics, demonstrate strong quantitative skills, and possess expertise in relevant tools like Python. Join us for a one-year position with the possibility of renewal, helping to shape the research that influences policy.
Predoc Economist: AI, Robotics & Policy Research Fellow in Oxford employer: Ellison Institute of Technology
The Ellison Institute of Technology is an exceptional employer, offering a dynamic work environment where innovation meets collaboration. As a Predoctoral Research Fellow, you will have the opportunity to engage in cutting-edge research alongside leading economists and data scientists, fostering both personal and professional growth. Located in a vibrant academic setting, we provide a supportive culture that values creativity and encourages impactful contributions to policy research.
Contact Details:
Ellison Institute of Technology Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Predoc Economist: AI, Robotics & Policy Research Fellow in Oxford
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Ellison Institute of Technology!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Predoc Economist: AI, Robotics & Policy Research Fellow at Ellison Institute of Technology.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Ellison Institute of Technology.
✨Apply Directly through Our Website
When you find a suitable opening like Predoc Economist: AI, Robotics & Policy Research Fellow at Ellison Institute of Technology, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Predoc Economist: AI, Robotics & Policy Research Fellow in Oxford
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Ellison Institute of Technology, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Ellison Institute of Technology. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Ellison Institute of Technology
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Ellison Institute of Technology!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
