September 21, 2025

Machine Learning Fish ID Bursary 2026 – Closing Date: 15 December 2025, Apply Now!

Hey there, future innovators! 🚀 Ever thought about combining cutting-edge Artificial Intelligence with the fascinating world beneath the waves? While we usually focus on amazing South African opportunities, sometimes a really cool international bursary pops up that’s too good not to share! This year, we’re shining a spotlight on the incredible “Application of Machine Learning Tools and Algorithms to Fish Identification and Classification on Smartbay Observatory Video Datasets Bursary” for the 2026 academic year. It’s an awesome chance to get funded for your passion in tech and marine science!

This bursary is designed for aspiring researchers or students keen to dive deep into Machine Learning and its applications in marine biology. Imagine using powerful AI tools to analyze video data, helping to identify and classify different fish species. It’s not just theoretical; you’ll be working with real-world data from the Smartbay Observatory. This is your chance to contribute to vital marine conservation efforts and develop highly sought-after technical skills, all while potentially getting your studies funded!

Who Can Apply?

While the original opportunity is based in Ireland, these types of advanced research bursaries often look for candidates with specific academic backgrounds and a keen interest in the subject matter. Typically, applicants would need:

  • A strong academic record in relevant fields like Computer Science, Data Science, Marine Biology, Environmental Science, or a related discipline.
  • Experience or a keen interest in Machine Learning, AI, data analysis, and programming.
  • A passion for marine science and a desire to contribute to environmental research.
  • A relevant Bachelor’s or Master’s degree (depending on the specific research level).
  • Excellent problem-solving skills and the ability to work independently.

Remember, always check the official bursary guidelines for the precise eligibility criteria when applications open. If you’re a South African student considering international studies, this type of bursary could be a fantastic pathway!

What Does It Cover?

Exact coverage details can vary, but bursaries of this nature are generally comprehensive, aiming to support the student fully during their research period. You can typically expect it to cover:

  • Tuition Fees: The full cost of your academic program.
  • Stipend: A monthly allowance to help with living expenses (accommodation, food, transport).
  • Research Costs: Funding for equipment, software, and other materials required for your project.
  • Travel/Conference Costs: Opportunities to attend and present at relevant conferences.

This kind of support allows you to focus 100% on your groundbreaking research without financial stress. Pretty sweet, right?

How to Apply?

Ready to make waves with your Machine Learning skills? Here’s a general guide on how to approach applying for bursaries like this:

  1. Research: First, head over to the official Marine Institute website (or the specific institution hosting the bursary) to find the detailed application announcement for the 2026 intake.
  2. Prepare Documents: You’ll typically need your academic transcripts, a detailed CV, letters of recommendation, and a strong personal statement or research proposal outlining your interest and suitability for the project.
  3. Meet Deadlines: Pay very close attention to the closing date! For this bursary, we’re looking at 15 December 2025. Don’t miss it!
  4. Submit Application: Follow the instructions precisely on the official application portal.

Always double-check all requirements and ensure your application is submitted well before the deadline. Good luck, future marine tech wizard!

If combining AI with ocean discovery sounds like your dream gig, this international opportunity is definitely one to watch! Don’t wait – start preparing your application and explore more amazing bursaries, both local and international, right here on Bursaries Room!

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