Course Structure

The programme combines case studies with inspiring seminars, theoretical insights, and guided hands-on sessions.

Theme 1

Software Technologies

Advanced C++

Algorithms

Floating‑point

Efficient Python

Architecture & memory model

Parallel and heterogeneous computing

Best practices for debugging, profiling, analyzing large software

Theme 2

Edge Computing

High‑Level Synthesis

→ Versal Adaptive Intelligence Engines

SoC FPGAs

→ Networking

→ High‑speed optical links

Data Science & Machine Learning

MLOps

→ RNNs, GNNs, transformers

→ Autoencoders & anomaly detection

→ Generative models

→ Foundation models

→ LLMs/RAGs/agents;

→ Reinforcement learning

→ Interpretability & uncertainty

→ Pruning & quantisation

Admissions

Who should apply?

PhD candidates, postdoctoral researchers, researchers and engineers with a completed Master’s degree at the time of the application. (Bachelor’s and Master’s students are not eligible.)

The Academy is conducted entirely in English. Strong proficiency and comprehension are required. Selection is based on technical preparation, motivation.

Cohort diversity is valued.

What’s Included

  • On‑site accommodation + meals for all 10 weeks for external participants
  • Teaching & lab materials
  • Hardware access: FPGA dev boards, high-performance computing nodes
  • Seminar recordings & code repositories

How to apply?

Online application with CV (PDF) and two reference contacts.
A reference letter from your current supervisor is mandatory.
Should you have one from a previous internship you may add this as a second reference.

What do you need to know

Duration: 10 weeks

Fee: CHF 1,500: accommodation + meals included for external participants

Extras: Optional 1–2 month post‑Academy placement with a CERN group

Credits: Targeting ECTS recognition via partner universities

Key Dates (2026)

Applications close: 15 February

Selection results: by 31 March

Fee payment due: by 30 April

Arrival: 21 June

Academy dates: 22 June to 28 August


Invited speakers


The CERN STEAM Academy features contributions from internationally recognised experts shaping the future of software, computing, and machine learning.

FAQs

  • Do I choose a theme? No. All participants follow the full 10‑week integrated programme.
  • Is prior HEP experience required? No; HEP context is provided during the Academy.
  • Will I get ECTS credits? We are working with partners to recognise ECTS; details announced before the start.
  • Is accommodation mandatory? It is bundled to foster a cohort experience; exceptions considered case‑by‑case.
  • Can industry participants apply? Yes, if they meet the prerequisites and commit to the full programme.

Lectures by world-leading experts from academia, research and industry, followed by hands‑on training and labs.

Join a single, rigorous programme spanning Software Technologies, Edge Computing, and Data Science & ML.

Questions? Don’t hesitate to contact us on our email steam.academy@cern.ch