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- Tasks: Contribute to vital research in Earth Observation Data Assimilation and enhance data systems.
- Company: Join a national meteorological service with a focus on innovation and collaboration.
- Benefits: Enjoy a competitive salary, hybrid working options, and opportunities for professional growth.
- Why this job: Make a real impact in climate science while working with cutting-edge technology.
- Qualifications: Relevant degree and skills in scientific programming, especially Python or C++.
- Other info: Experience a supportive environment with chances for secondments at prestigious institutions.
The predicted salary is between 30000 - 42000 £ per year.
A national meteorological service is looking for a Scientist specializing in Earth Observation Data Assimilation. This full-time position offers hybrid working options and involves contributing to crucial research and development projects.
Candidates should hold a relevant degree and possess skills in scientific programming, particularly in Python or C++.
The role includes collaborating with teams to improve data assimilation systems and will provide opportunities for secondments at prestigious institutions.
Competitive salary and a supportive work environment are offered.
Earth Observation Data Assimilation Scientist – Hybrid & HPC employer: Met Office
Contact Detail:
Met Office Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Earth Observation Data Assimilation Scientist – Hybrid & HPC
✨Tip Number 1
Network like a pro! Reach out to professionals in the Earth Observation field on LinkedIn or at industry events. We can’t stress enough how valuable connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in scientific programming, especially in Python or C++. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data assimilation systems. We recommend practising common interview questions and even doing mock interviews with friends or mentors.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Earth Observation Data Assimilation Scientist – Hybrid & HPC
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your scientific programming skills, especially in Python or C++. We want to see how your expertise can contribute to our Earth Observation Data Assimilation projects.
Tailor Your Application: Don’t just send a generic CV and cover letter. Tailor your application to reflect the specific requirements of the role. Mention your experience with data assimilation systems and any relevant projects you've worked on.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Met Office
✨Know Your Stuff
Make sure you brush up on your knowledge of Earth Observation Data Assimilation. Familiarise yourself with the latest trends and technologies in the field, especially those related to Python and C++. This will not only show your passion but also your commitment to the role.
✨Showcase Your Programming Skills
Prepare to discuss your experience with scientific programming. Bring examples of projects you've worked on, particularly those involving Python or C++. If possible, be ready to demonstrate your coding skills or solve a problem on the spot during the interview.
✨Collaboration is Key
Since the role involves working with teams, think of examples where you've successfully collaborated with others. Be ready to discuss how you handle differing opinions and how you contribute to a positive team dynamic. This will highlight your interpersonal skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the research and development projects you'll be involved in. Inquire about the data assimilation systems they currently use and how they envision improvements. This shows your genuine interest in the position and helps you assess if it's the right fit for you.
