This year, the retreat of the Estonian Doctoral School, hosted by the Mathematics, Computer Science, and Informatics branch, will focus on machine learning. This two-day event offers a welcoming space to explore machine learning in academic research and real-world applications. As a PhD student, you will have an opportunity to gain valuable technical skills and as well as career insights that can open new opportunities in both academia and industry.
What You’ll Get?
1. Practical ML Skills
- Hands-on workshops covering essential ML workflows, tools, and techniques
- Apply ML models on real datasets beyond theoretical research
- Exposure to open-source libraries, cloud platforms, and MLOps practices
2. Industry Insights
- Talks from industry professionals showcasing how ML powers finance, healthcare, energy, and technology
- Learn what companies are looking for in ML talent
- Case studies translating research into impactful business solutions
3. Career Development
- Guidance on transitioning from academia to industry roles
- Networking opportunities with ML experts, recruiters, and fellow researchers
- Career panel on PhD pathways: postdoc vs. data science vs. AI product roles
👥 Who Should Attend
- PhD students, master’s students, supervisors, researchers, industry representatives, university employees – anyone curious about ML and wanting to know more.
You can find the preliminary agenda HERE
Participation: Free of charge (registration required; limited seats).
REGISTRATION
Registration is closed!