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- Tasks: Develop and apply innovative Machine Learning frameworks for predicting the global hydrological cycle.
- Company: Leading research university in Southampton with a focus on impactful research.
- Benefits: Full-time position with opportunities for career growth and impactful research.
- Why this job: Make a difference in water-resource management and climate resilience through cutting-edge research.
- Qualifications: PhD or nearing completion in relevant fields, with advanced ML and programming skills in Python or R.
- Other info: Hybrid work model with a dynamic research environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading research university in Southampton seeks a highly motivated Research Fellow to develop and apply innovative Machine Learning frameworks for predicting the global hydrological cycle.
Candidates should have a PhD or be close to completion in relevant fields, with expertise in advanced ML and strong programming skills in Python or R.
This full-time, fixed-term position offers opportunities for impactful research in water-resource management and climate resilience.
Hydrological ML Fellow: Hybrid Physics‑Informed Modelling in Southampton employer: Euraxess
Contact Detail:
Euraxess Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hydrological ML Fellow: Hybrid Physics‑Informed Modelling in Southampton
✨Tip Number 1
Network like a pro! Reach out to professionals in the hydrology and machine learning fields on LinkedIn. A friendly message can go a long way, and you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python or R. This is your chance to demonstrate your expertise in advanced ML and how it applies to real-world problems in water-resource management.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with both technical and non-technical audiences.
✨Tip Number 4
Don't forget to apply through our website! We love seeing passionate candidates who are eager to contribute to impactful research. Make sure your application stands out by tailoring it to the specific role and highlighting your relevant experience.
We think you need these skills to ace Hydrological ML Fellow: Hybrid Physics‑Informed Modelling in Southampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in Machine Learning and programming skills in Python or R. We want to see how your background aligns with the hydrological cycle research, so don’t hold back on showcasing your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about this role and how your skills can contribute to innovative solutions in water-resource management. Let us know what excites you about the opportunity!
Showcase Your Research Experience: If you’ve worked on any projects related to hydrology or climate resilience, make sure to mention them. We love seeing how candidates have applied their knowledge in real-world scenarios, so share those impactful experiences with us!
Apply Through Our Website: We encourage you to submit your application through our website for a smoother process. It’s the best way for us to receive your materials and keep track of your application. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Euraxess
✨Know Your Hydrology
Make sure you brush up on the global hydrological cycle and its key components. Being able to discuss how your work can impact water-resource management and climate resilience will show your passion and understanding of the field.
✨Showcase Your ML Skills
Prepare to discuss specific Machine Learning frameworks you've worked with. Bring examples of projects where you've applied advanced ML techniques, especially in Python or R, to demonstrate your technical expertise.
✨Research the University
Familiarise yourself with the university's research initiatives and recent publications in hydrology and climate science. This will help you tailor your answers and show that you're genuinely interested in contributing to their work.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's current projects and future directions. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals and interests.
