Ph.d. Student for Ai for Chip Design

vor 2 Monaten


Munich, Deutschland Technische Universität München Vollzeit

**We are an active and lively research group which is passionate about science. We are working in an environment which may best be characterized by the passion to accomplish something new—complemented by teamwork and fostering personal relationships. From assistants, students, researchers, postdocs to professors; we are all working hand in hand, are highly committed, and engaged with our work. We know how to celebrate our successes, but also how to get through setbacks together***
- Use of generative AI in the chip design process
- Optimization and Reinforcement Learning methods for problems of design/layout
- Exploration of Heuristics and Data-driven Methods for the generation of design blocks
- Automated Test and Verification of designs created using Machine Learning methods
- Utilization of feedback loops to improve design choices
- Creation of an automated pipeline and frameworks for data generation and storage
- Innovation in the Machine Learning algorithms for EDA in terms of Computational Complexity, Performance Scores, etc.

**Your Profile**: We are looking for a Ph.D. student who is willing to learn and explore new topics while playing nice in a team. Your main task will be the development, conceptualization, and eventual implementation of new machine learning and optimization methods in design automation for Chip Design. Our focus on interdisciplinary partnerships and networks will enable you to meet many interesting people (at places all over the world) and present your work at top-notch conferences and journals in our domain.

**19.08.2023**.

**Note on data protection**:
**Hinweis zum Datenschutz**:
Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.



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