Training

We are committed to developing the AI talent and skills pipeline in the UK while supporting cutting-edge research at the intersection of AI and chemistry. Through a combination of training, funding, and community-building activities, we aim to equip researchers and industry partners with the skills and resources they need to succeed.

This page is regularly updated with new opportunities throughout the year. Be sure to check back often, and subscribe to our newsletter or follow us on social media to receive updates directly.

  • Current Opportunities
  • Resources
  • Past Opportunities

Discover our current training opportunities and for more information click below.

Chemical Artificial Intelligence in Homogeneous Catalysis (ChemAICat) Workshop

Winter School: Robotics & AI for Materials Chemistry 2026

Data Intensive Data School

Explore our previous training opportunities and learn more about past application processes by viewing the archived training below.

Summer Research Internship Open Call 2026

Summer Education Internship Call 2026

Next Generation of AI Chemists Programme

Google DeepMind University of Liverpool Internships

CAMMLS: Chemistry and Materials Machine Learning School 2026

Winter School: Robotics and AI for Materials Chemistry 2025

Summer Internship Open Call 2025

Chemical and Materials Machine Learning School 2025

Our training resources are now available on our GitHub site. The collection brings together free, open, and community-friendly resources for learning at the interface of chemistry, materials science, and machine learning / AI. The hub includes curated materials for both beginners and more advanced learners.

If you would like to suggest a resource, please use the GitHub page to open an issue or submit a pull request.

Resources from our upcoming Summer School and Winter School events will be posted here to support your learning and provide access to the latest training materials.

Use the links below to access the resources.

Note: Links in the resource Github point to external websites, while we have found these resources helpful, we do not take responsibility for their content or availability.

AIchemy GitHub Resources

Explore our GitHub-hosted collection of free, open, and community-friendly resources at the interface of chemistry, materials science, and machine learning / AI. Browse curated materials for beginners and advanced learners, and discover resources to support self-study and research development.

CAMMLS Training Materials

Access the training materials from Chemical and Materials Machine Learning School (CAMMLS) 2025, covering core machine learning concepts through to advanced topics and develop and enhance your skill set in this rapidly evolving field.

ML Training Schools

Residential events for PhD students/postdocs in foundational & advanced AI topics.

Undergraduate Internships

Fully-funded
8-week internships
prioritising EDI goals.

Webinar Series

 Monthly sessions
mixing academic, industrial, and policy insights.

Workshops

Focused one-day events to upskill researchers and professionals in specific areas.

Industry Intensive Courses

Upskill staff in emerging AI technologies via tailored training developed with industry partners.

Datathons/Hackathons

Co-organised events with industry partners exploring innovative dataset applications.