PhD Studentship: Hourly Ocean MLD Forecasts with ML

PhD Studentship: Hourly Ocean MLD Forecasts with ML

Internship 19350 - 23650 £ / year (est.) On-site
University of Exeter

At a Glance

  • Tasks: Develop neural networks for hourly ocean Mixed Layer Depth forecasts using advanced datasets.
  • Company: University of Exeter, collaborating with top institutions for a unique research experience.
  • Benefits: Access to exclusive datasets, mentorship from experts, and hands-on research opportunities.
  • Other info: Join a dynamic team in beautiful Devon with excellent career development prospects.
  • Why this job: Make a real impact in ocean science while gaining valuable skills and experience.
  • Qualifications: Strong background in machine learning and a passion for environmental science.

The predicted salary is between 19350 - 23650 £ per year.

The University of Exeter invites applications for a Ph D studentship addressing hourly Mixed Layer Depth dynamics.

You will develop neural networks to convert a statistical baseline into a temporally resolved forecast, using high-resolution in-situ and Earth observation datasets.

This multi-institution project brings Exeter, PML, the Met Office and Oshen together to provide cross-disciplinary mentorship, on-site research in Devon, and access to unique datasets for rigorous testing and validation.

PhD Studentship: Hourly Ocean MLD Forecasts with ML employer: University of Exeter

The University of Exeter is an exceptional employer, offering a supportive and inclusive work environment that prioritises employee wellbeing and professional growth. With flexible working opportunities, generous annual leave, and a commitment to diversity and social justice, staff can thrive while contributing to meaningful initiatives that enhance student employability. Located in Exeter, this role provides a unique chance to engage with a diverse community and make a tangible impact on the future of underrepresented students.

University of Exeter

Contact Details:

University of Exeter Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD Studentship: Hourly Ocean MLD Forecasts with ML

✨Join Research Communities

Get involved with scientific research communities online, like ResearchGate or even niche forums related to your specific field of interest. These platforms often have internship listings and can put you in touch with researchers who are keen on mentoring interns like you!

✨Attend Conferences and Workshops

Keep an eye out for academic conferences or workshops happening in your area or even virtually. They’re fantastic networking opportunities where you can meet professionals who could help you land that internship you’re after. Plus, you can showcase your enthusiasm and ask about any upcoming openings!

✨Tap into University Resources

Don’t forget to leverage your university’s career services! They often have exclusive internship listings and can connect you with professors who might have research projects needing interns. It's a great way to get your foot in the door while still studying.

✨Pitch Yourself to Labs

Reach out directly to labs or research groups whose work really excites you, like those at University of Exeter. Even if they don’t have posted internships, a compelling email showing your passion can sometimes lead to hidden opportunities. Show them what you’ve got to offer!

We think you need these skills to ace PhD Studentship: Hourly Ocean MLD Forecasts with ML

Neural Networks
Machine Learning
Statistical Analysis
Data Processing
High-Resolution Data Analysis
Earth Observation Datasets
Cross-Disciplinary Collaboration

Some tips for your application 🫡

Show Off Your Research Skills:In the scientific research field, your ability to conduct experiments and analyse data is key. Be sure to highlight any relevant coursework, lab experience or research projects you've been involved in. If you've used specific techniques or software (like Python for data analysis), mention them — they can really make your application shine!

Tailor Your CV for the Role:Make sure your CV is tailored to the internship you're applying for at University of Exeter. Include sections that detail relevant courses, projects, and any lab techniques you’re proficient in. If you've done any work that resulted in tangible outcomes (like publications or presentations), make sure to feature these prominently to showcase your potential!

Passion and Motivation Matter:Your cover letter is a chance to show your enthusiasm for the position and the field. Talk about what drives your interest in scientific research and how this internship at University of Exeter fits into your career goals. We're looking for passion here, so don’t hold back!

Include Relevant Certifications:If you have any certifications related to scientific research (like Good Laboratory Practice or safety training), definitely include them! This extra detail can set you apart and demonstrate that you're serious about working in the field. It shows you're prepared and understand the standards required in research settings.

How to prepare for a job interview at University of Exeter

✨Master the Fundamentals

In scientific research, it's crucial to brush up on the basics of your field. Make sure you can discuss core concepts with confidence. We might be quizzed on specific methodologies or experimental designs related to the projects University of Exeter is involved in, so be prepared to showcase your understanding.

✨Your Passion Matters

As an intern, showing enthusiasm for the research area can set you apart. Make sure to articulate why you're excited about this specific role at University of Exeter and how it aligns with your learning goals. Your potential to grow and learn is just as important as your current skill set!

✨Soak Up Online Resources

Utilise online resources and journals to familiarise yourself with recent developments in your chosen research area. If University of Exeter is working on groundbreaking studies, knowing about them can really impress your interviewers and show you've done your homework.

✨Practical Experience Counts

If you have any lab work or relevant projects, prepare to discuss them in detail. Even if it's a class project, understanding the results and what you learned will help demonstrate your practical skills. We can also consider having a digital portfolio ready for specific examples, just in case!