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- Tasks: Develop innovative Machine Learning frameworks to explore the global hydrological cycle.
- Company: Prestigious UK university with a focus on equality and inclusion.
- Benefits: Full-time position until June 2028, supportive environment, and collaborative research opportunities.
- Why this job: Join a leading team and make a real impact in hydrological research.
- Qualifications: PhD or nearing completion in a relevant field, with expertise in ML and deep learning.
- Other info: Collaborate with international stakeholders in a dynamic research setting.
The predicted salary is between 36000 - 60000 £ per year.
A prestigious UK university seeks a highly motivated Research Fellow to join the Hydroclimatology Group. The role focuses on developing innovative Machine Learning frameworks to understand the global hydrological cycle.
Responsibilities include:
- Methodological innovation
- Big data integration
- Collaborative research with international stakeholders
Candidates should hold a PhD or be close to completion in a relevant field, with technical expertise in advanced ML and deep learning architectures. This is a full-time fixed-term position until June 2028, with a supportive environment committed to equality and inclusion.
Hydrological ML Fellow: Hybrid Physics‑Informed Modelling in Southampton employer: EURAXESS Ireland
Contact Detail:
EURAXESS Ireland 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 current or former employees in the Hydroclimatology Group. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous work in Machine Learning and hydrological modelling. We want to see how you think and solve problems, so make it shine!
✨Tip Number 3
Practice makes perfect! Get together with a friend or mentor and do some mock interviews. Focus on explaining your research and technical expertise clearly, as if you're chatting with someone who's not a specialist.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to engage with us directly.
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 hydrology and machine learning. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work or any projects that demonstrate your expertise!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the global hydrological cycle and how your innovative ideas can contribute to our research. Keep it engaging and personal – we love to see your personality come through!
Showcase Collaborative Spirit: Since this role involves working with international stakeholders, highlight any past experiences where you’ve collaborated on research projects. We value teamwork, so let us know how you’ve successfully worked with others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It’s the best way to ensure your application gets into the right hands, and we can’t wait to see what you bring to the table!
How to prepare for a job interview at EURAXESS Ireland
✨Know Your Hydrology
Make sure you brush up on the global hydrological cycle and its intricacies. Be prepared to discuss how your knowledge can contribute to innovative Machine Learning frameworks. This shows your passion and understanding of the field.
✨Showcase Your Technical Skills
Be ready to dive deep into your experience with advanced ML and deep learning architectures. Prepare examples of past projects where you've successfully integrated big data, as this will demonstrate your hands-on expertise.
✨Collaborative Spirit
Since the role involves working with international stakeholders, highlight your teamwork skills. Share experiences where you've collaborated effectively, especially in research settings, to show that you're a great fit for their supportive environment.
✨Embrace Equality and Inclusion
Familiarise yourself with the university's commitment to equality and inclusion. Be prepared to discuss how you can contribute to this culture, as it’s important for them to see that you align with their values.
