Phd Student in Characterization of Analog
vor 2 Wochen
**Overview**:
The characterization of analog /RF /AMS systems is an active research topic within the Business Line Radar Frequency Processing, which is divided into three Product Lines: Car Infotainment, Advanced Driver Assistance Systems and Personal Health. It is the RF Processing powerhouse of NXP with R&D centers and high-tech colleagues around the globe. The Business Line holds several market leadership positions including radar semiconductors, radio & audio infotainment as well as hearing aids. System knowledge, RF-CMOS integration and embedded software/algorithms are the core of its success. In the automotive context, the arising complexity in the automotive board net system gives rise to needed enhancements of analog / RF / AMS system simulation with respect to IP different level properties. As NXP is the world's No. 1 supplier of automotive semiconductors, you will be part of developing highly relevant solutions to address future customer requirements.
**Your tasks**:
- Map analog simulation data to a system level model
- Study effect of different IP level properties like gain, noise figure, power consumption, non-linearity and their effect on system level behavior
- Validate communication models/constraints for RADAR/RF communication systems for autonomous driving
- Create prototype/demonstrator of analog / RF / AMS system simulation environment using characterization data from IP blocks
- Participate to the dissemination and exploitation of the results (scientific publications,)
**Education and Requirements**:
- Master in Electrical Engineering or Computer Science or related fields
- Experience with or a good understanding of one or more simulation and statistical methods
- Must be familiar with C/C++ language and SystemC/SystemC-AMS modeling concepts
- Must have an interest in integrated circuit design of analog / RF / AMS / digital systems
- Strong interest in mathematical and statistical analysis
- Interest in pre
- and post-silicon technology and analysis
- Fluent in spoken and written English
- Excellent communication and presentation skills (internally and externally)
**Please note that this is a contract in part-time (80%), limited to 3 years.
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