Plazzas d'IA tar IBM Research
IBM Research ha 15 plazzas d'IA e machine learning activas en Svizra, cun salaris da CHF 50’000 fin CHF 130’000 per onn. La gronda part da las plazzas sa chatta a Turitg.
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IBM Research
Pled d'IA
15 annunzias activas zavradas tenorData
IBM ResearchEngineering·Junior·PraticumozozInternship: AI-based extraction of nanoparticle morphology from SEM images
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchEngineering·Junior·Praticumavant 14 disavant 14 dInternship: AI-based trainable decoders for qLDPC codes
stim.CHF 25’000 – 45’000
Turitg
Neural Networks·PyTorch·AI-Native+3·+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 14 disavant 14 dInternship: Parameter optimization for message-passing qLDPC decoders
stim.CHF 35’000 – 55’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 40 disavant 40 dResearch Internship in AI and Quantum Algorithms for PDEs
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Foundation Models·PyTorch+4·+3·+2·+1IBM ResearchEngineering·Junior·Praticumavant 58 disavant 58 dInternship — AI for Quantum Algorithms, Linear Algebra & Hamiltonian Simulation
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 58 disavant 58 dInternship — Quantum Algorithms and Applications for Linear Algebra & Hamiltonian Simulation
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 92 disavant 92 dMaster's Thesis — Next-Generation Query and Workflow Processing across Heterogeneous Engines and Hardware
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Vector Databases·AI-Native+3·+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 117 disavant 117 dMaster's Thesis — AI Models and Inference Systems
stim.CHF 0 – 20’000
Turitg
Machine Learning·Foundation Models·LLM+7·+6·+5·+4IBM ResearchPerscrutaziun·Junior·Praticumavant 123 disavant 123 dMaster's Thesis — Agentic AI for Electronic Design Automation
stim.CHF 0 – 20’000
Turitg
Agentic AI·MCP·AI-Native+3·+2·+1IBM ResearchPerscrutaziun·Junioravant 132 disavant 132 dPhD Position — Time and Memory Efficient Proof Systems
stim.CHF 50’000 – 70’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 132 disavant 132 dMaster's Thesis — Neural Solvers for Mixed-Integer Nonlinear Programming
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Deep Learning·Neural Networks+6·+5·+4·+3IBM ResearchPerscrutaziun·Junior·Praticumavant 141 disavant 141 dMaster's Thesis — Hybrid Quantum-Neural Solvers for Mixed-Integer Nonlinear Programming
stim.CHF 25’000 – 45’000
Turitg
Machine Learning·Deep Learning·AI-Native+3·+2·+1IBM ResearchPerscrutaziun·Senioravant 171 disavant 171 dResearch Engineers / Research Scientists — Next-Generation Data Systems
stim.CHF 110’000 – 130’000
Turitg
Machine Learning·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 192 disavant 192 dInternship or Master's Thesis — Agent-Centric Data Systems
stim.CHF 40’000 – 60’000
Turitg
LLM·AI-Native+2·+1IBM ResearchPerscrutaziun·Junior·Praticumavant 199 disavant 199 dInternship — Docling
stim.CHF 40’000 – 60’000
Turitg
Machine Learning·Deep Learning·NLP+8·+7·+6·+5Rimnà ozoz
Internship: AI-based extraction of nanoparticle morphology from SEM images
stimà da Gemini 2.5 FlashCHF 25’000 – 45’000/ onn
Background
In magnetic tape recording, the magnetic layer consists of nanometer-sized magnetic particles whose shape, size, and aspect ratio strongly influence the medium's magnetic properties and the achievable storage density. Accurate characterization of these morphological properties is essential for micromagnetic simulations that predict media performance and support the development of next-generation tape media. Scanning Electron Microscopy (SEM) images of magnetic tape resolve individual particles, enabling direct morphological analysis. However, extracting statistically meaningful morphology distributions from thousands of particles remains a labor-intensive manual process.
This internship aims to develop an AI-based approach to automate nanoparticle morphology extraction from SEM images.
Project
This is a three-month internship at IBM Research – Zurich, starting in May or June 2027. The intern will:
- Review and compare state-of-the-art machine learning methods for nanoparticle morphology extraction.
- Develop an automated pipeline to extract shape, size, and aspect ratio distributions of magnetic recording nanoparticles from SEM image datasets.
- Benchmark the methods and pipeline against reference data, assessing both accuracy and processing efficiency.
Requirements
- Master's or PhD student in computer science, electrical engineering, physics, mathematics, or a related field.
- Good Python programming skills.
- Preferable: knowledge of/background in optimization, statistics, or machine learning.