Aktuelle Jobs im Zusammenhang mit Thesis On deep Sets Using Permutation-invariant - Wolfsburg - Volkswagen AG

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    vor 7 Stunden

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Thesis On deep Sets Using Permutation-invariant

vor 5 Monaten

Wolfsburg, Deutschland Volkswagen AG Vollzeit

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Your working environment
- Volkswagen Group Innovation works in an international innovation network with locations in Germany, China, USA, Israel and Japan to define mobility concepts and future technologies for stakeholders of all brands of the Volkswagen Group. Within this environment you will support an interdisciplinary team working on software architecture and platform design.
- Your tasks
- Implementation of a Quantum Machine Learning (QML) model considering permutation invariance.
- Test various strategies to best encode classical data onto the quantum circuit and train the QML model on different datasets
- Benchmarking of the model and comparison to classical ML approaches
- Extension of the model to any large input set

Your qualifications
- University degree in a relevant field, e.g., information technology, physics, mathematics, or related fields
- Basic knowledge of some of the following topics: Quantum Mechanics, Machine Learning, Group Theory, Linear Algebra.
- Programming skills in at least one of the following languages: Python, Matlab, R
- First experiences with common open source (quantum) machine learning libraries
- Good to very good English skills
- High communication skills and ability to work in a team in an international environment
- Structured, analytical thinking and self-motivated action
- Curriculum Vitae
- Current certificate of enrolment
- Current transcript of records
- In the case of a compulsory internship, a certificate from the university
- Work permit for non-EU citizens

Further information
- This position is with the
Volkswagen AG- in
Wolfsburg- to fill.- Employment is possible from:
- 30.04.2023- Reference code:
- E-1184/2023- Your questions answered
- Ms. Brigitte Adam-Huth- under the telephone number- 05361-9-36363