Full-Time Research Assistant - Post-Doc (m/f/d): Quantum Walks and Quantum Machine Learning on Graph Structures
Within this interdisciplinary project, we are looking for a strong candidate to contribute to the development of quantum algorithms and applications, focusing on quantum walks and quantum machine learning on graph structures.
An excellent PhD degree either in Computer Science, Physics, Mathematics or related fields, ideally with a background in quantum theory, quantum computing or quantum machine learning
Openness to communicate, cooperate and exchange ideas within a joint endeavor of multiple vibrant research teams
Participation in an inspiring international scientific environment
mendl@tum.Short description of your research interests and your motivation for the application
PhD thesis and publications
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Data Protection Information:
data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.