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Bumblekite Machine Learning Summer School | Funded

Bumblekite Machine Learning Summer School | Funded

Partially Funded
Country: Switzerland
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Apply to attend the Bumblekite Machine learning Summer School in Healthcare and Biosciences. This is an annual 10-day long machine learning summer school in biosciences and healthcare with a goal to bridge the skills gap in this interdisciplinary area between and among people with engineering and data science skills, those with expertise in biomedical sciences and healthcare practice, as well as anyone else who would, with their creative ideas and enthusiastic work, like to participate in shaping the future of healthcare systems across the globe.

The lectures will take place in the facilities of ETH Zürich within the Zürich city area, with other activities all around the city with the exception of the hiking day. The evening leadership lecture series will take place in a variety of venues across Zürich

Participants of the summer school will gain both technical and domain knowledge, as well as skills in writing, teaching, project management and strategy development  equally important operational skills which we believe are crucial to making positive contributions in this field.

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During the summer school, the skills will be obtained through technical lectures by leaders in a given area, skill-oriented tutorials, personalized project development, project-based group work, debates, talks, and Q&A sessions.

Benefits from Machine Learning Summer School

The Bumblekite’s commitment offers a number of scholarship to deserving applicants to enable them attend the summer school.

Scholarships offered are categorised as below

  • Full scholarships that cover the entire cost of participation and include travel and accommodation reimbursement as well as a registration-fee waiver,

  • Partial scholarships that cover a single participation-cost element or a combination thereof (travel, accommodation expenditures, registration fee).

The scholarships are both need-based as well as merit-based. And please note that in order to qualify for a scholarship, the applicant should fill out both the full application. As well as the designated scholarship supplement and provide a reference to speak on behalf of the professional or academic experience they refer to in their application.

Eligibility for Machine Learning Summer School

To be eligible, you need to fulfill the following criteria:

  • interested in learning about applications of machine learning in healthcare and biosciences,

  • motivated to acquire the skills necessary to translate theoretical knowledge into measurable, real-life outcomes,

  • a collaborative and creative challenge seeker and problem solver.

Application of Machine Learning Summer School

This application form consists out of 3 main parts:

  • General Information – 8 short introductory questions,
  • Your Background – 6 questions for you to briefly describe your study and work experience, projects you have taken part in, personal achievements and awards,
  • Your Motivation – the most important part! Here we ask you to come up with one long-form written content piece sharing your thoughts about an issue/idea/problem that inspires you in this interdisciplinary field and three questions for us to find out your expectations from the summer school and your personal strengths.

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Lastly, It is important to visit the official website link found below to access the application form.

Correspondingly, Join us on Telegram for more opportunities!

Similarly, Visit oyaop.com and oyaschool.com for more scholarship opportunities.


Type of Opportunity Scholarships and Fellowships
Deadline15 May,2022
Open toAll



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