Job
- Level
- Junior
- Job Field
- Software
- Employment Type
- Part Time/Full Time
- Contract Type
- Internship / school internship
- Location
- Seefeld
- Working Model
- Onsite
Job Summary
In this role, you will develop ML frameworks for tensor networks and test algorithms to enhance the decoding of quantum error correction codes while devising strategic approaches for model training.
Job Technologies
Your role in the team
- The Advanced Information Processing Group aims at applying state-of-the-art theoretical results into real-world applications within information processing systems.
- The expertise of the group ranges from quantum error correction to Smart Data Management, exploring cutting-edge communication theories.
- Test state-of-the-art tensor network machine learning algorithms to improve the decoding of quantum error correction codes.
- Develop new ML frameworks for tensor networks.
- Devise new (clean and reproducible) training models.
- Develop generalization strategies across codes and physical error rates.
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Our expectations of you
Education
- Evidence of completed projects, e.g., university coursework, internship, etc.
Qualifications
- Interest in real-world machine learning applications.
- Ability to work independently and as part of a team.
- Advanced programming skills: Python and Pytorch or similar.
- Quantum theory and tensor network knowledge desirable.
- Good English knowledge
Experience
- Hands-on experience in machine learning and deep learning.
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What we offer
- We look forward to getting to know you!
- If you have any questions about this position (Vacancy-ID 5072), please contact: Luca Menti Tel.: +49 (0)8153 28 2052
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Benefits
Work-Life-Integration
Topics that you deal with on the job
Job Locations
This is your employer
Deutsches Zentrum für Luft- und Raumfahrt eV.
As one of the leading research centers in the field of aerospace in Germany, DLR offers its approximately 8,700 employees the unique diversity of topics in aviation, spaceflight, energy, traffic, security and digitalization.
Description
- Company Size
- 250+ Employees
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Agriculture, Silviculture
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.4
Workingconditions
4.2Career Growth
2.8Engineering
3.1Culture
3.5