Internship or Master’s Thesis
myScience
Zurich
Key information
- Publication date:13 September 2025
- Workload:100%
- Place of work:Zurich
Internship or Master’s Thesis
Workplace Zurich, Zurich region, Switzerland CategoryComputer Science
Position Trainee
Published 12 September 2025 Internship or Master’s Thesis
We invite Master’s students to pursue a thesis at the intersection of artificial intelligence and quantum computing. You’ll work in close collaboration between the AI and Quantum research teams, advancing algorithms that leverage both AI and quantum computing on today’s and tomorrow’s hardware.
What you will do
Required Qualifications
Preferred Qualifications
Location, Timing, and Format
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
How to apply
Please submit your CV including contact information for two or three references. We encourage candidates to also share a 3-minute video, in which they introduce themselves, as well as highlight their motivation and expertise. The video is not mandatory.
AI Methods for Quantum Algorithms & Systems
Ref. 2025_020We invite Master’s students to pursue a thesis at the intersection of artificial intelligence and quantum computing. You’ll work in close collaboration between the AI and Quantum research teams, advancing algorithms that leverage both AI and quantum computing on today’s and tomorrow’s hardware.
What you will do
- Develop AI-driven techniques applied to linear algebra problems or complex system modelling, exploring the use of Quantum Computing.
- Design and prototype hybrid quantum/classical workflows executed on simulators and IBM Quantum hardware.
- Run systematic benchmarks against strong classical baselines, analyze scaling behavior, and document results for internal reports, your Master’s thesis (where relevant), and (where appropriate) publications.
- Contribute high-quality, reproducible code and, when possible, open-source packages (e.g., Qiskit extensions, example notebooks, datasets).
Required Qualifications
- Master’s Thesis: Enrollment in a Master’s program in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field.
- Internship: MsC or PhD (preferably) degrees in Computer Science, Electrical Engineering, Physics, Mathematics, or a related field.
- Hands-on experience with quantum computing (e.g., Qiskit or other SDKs): building/optimizing circuits; executing on simulators and/or real devices.
- Foundational knowledge of AI/ML and model training (optimization concepts, metrics, overfitting/ regularization).
- Strong Python skills and sound software practices (Linux, git/GitHub, testing, reproducibility).
- Familiarity with experiment orchestration, containers, and CI.
- Clear communication in English and a structured, collaborative working style.
Preferred Qualifications
- Solid background in algorithm development and linear algebra.
- Familiarity with experiment orchestration (job queues, trackers), containers, and CI.
- Scientific writing experience; well-documented research code.
Location, Timing, and Format
- Location: IBM Research Europe - Zurich, Switzerland.
- Duration: Typically 5-6 months (Master’s thesis) or 3-6 months (Internship)
- Supervision: Jointly by researchers from the AI and Quantum teams; access to IBM Quantum services.
Diversity
IBM is committed to diversity at the workplace. With us you will find an open, multicultural environment. Excellent flexible working arrangements enable all genders to strike the desired balance between their professional development and their personal lives.
How to apply
Please submit your CV including contact information for two or three references. We encourage candidates to also share a 3-minute video, in which they introduce themselves, as well as highlight their motivation and expertise. The video is not mandatory.
Footer links
In your application, please refer to myScience.ch and referenceJobID68280.
