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Evaluation of Algorithms for Runtime Power Modeling
vor 2 Monaten
During your studies, you can contribute to our ongoing research projects. Join us in pushing the limits of what is technically feasible and be part of breaking new ground together. We offer a variety of challenging and practice-oriented topics as internships, bachelor’s or master’s theses or as student assistants (paid HiWi jobs). You will analyse important scientific preliminary questions and support the project teams with development activities.
**Place of work**: Erfurt
**Team**: Microelectronics
**Career level**: Internship, Thesis or student job
**Research field**: Integrated sensor systems
**Time scope**: By agreement
**Start**: As soon as possible
**Application deadline**: 2024-12-31
**Reference number**: IMMS_STUD_ME_0524
In this student project, simulation data from digital circuits is used to automatically derive abstract power models that can later be included in mixed-signal simulations. To first reduce complexity, relevant signals must be identified from a large number of time series traces. Subsequently, these relevant signals are used to infer the current energy consumption by means of regression.
**WHAT TO DO**:
- Initial adaption to existing work and publications
- Recording of simulation data using standard EDA software
- Automatic identification of relevant signals using clustering
- Regression between signals and power traces via machine learning
- Implementation and documentation
**WHAT TO BRING WITH YOU**:
- Motivated and independent way of working
- Programming skills in Python
- Interest in familiarization with circuit simulation
- Experience with machine learning methods is an advantage
**AND THIS IS US**:
WE ARE LOOKING FORWARD TO MEETING YOU
We thank you for your interest in working with us.
**WHAT CAN WE OFFER YOU**:
- An attractive workplace in a modern, very well-equipped and industry-oriented research institute
- Work directly at the interface between university and industry
- Work in a flexible and creative team and on innovative and challenging topics
**Address**:
IMMS Institut für Mikroelektronik
- und Mechatronik-Systeme gemeinnützige GmbH (IMMS GmbH)
Ehrenbergstraße 27
98693 Ilmenau
Germany
**Contact**: Eric Schäfer
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