Internship: Machine Learning Models for Power

In this internship you will get experience with: - Implementation of **Machine Learning **models to address **Power & Signal Integrity **problems of the complete system - Integration of Machine Learning models into **circuit simulation environment**: - Validation of **modelling accuracy **with simulations/measurements - Enablement of a **simulation **framework **for the evaluation and optimization of designs at an early stage **Further Information** Type of employment: Temporary / Full-time or Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.) Duration: min. 6 months You successfully meet the requirements, if you are a motivated and committed **Master **student from the field of **Electronic Engineering, Microelectronics **or similar. You are best equipped for this task if you additionally offer: - Experience in working with **Machine Learning models **(classifications, regressions, neural networks) and **Python **programming - Willingness to work in a **challenging environment **within a highly motivated **international team**: - Knowledge of **SPICE circuit simulation **or an **electromagnetic simulation **tool is beneficial - A **structured **and **precise **working style - Fluent **English **skills, **German **as a plus - Motivation letter - CV - Certificate of matriculation at a university - Latest Transcript of records (not older than 6 months) - Highest completed educational certificate (Bachelor certificate for Master students) - Reference letter (optional) More than 5.000 people work at five different sites in Austria. **Driving decarbonization and digitalization. Together.** The central R&D organization **„Design Enabling and Services“ (DES) **provides the design environments (design-systems) to the different product development teams at Infineon. With leading edge design methods, complex building blocks and a wide range of product development services DES enables Infineon's advanced IC development. This means the complete value creation chain from abstract system models down to the fully verified product layout which ensures high quality manufacturing readiness. The **"System Concept Modelling" **group is involved in topics such as electromagnetic (EM) simulation for Power Electronics, High Speed Interfaces, on - and off-chip coupling, and related mixed-signal design concept development. One of the targets is the development of a simulation framework for early-stage system assessment & optimization. With the increasing IC design complexity & heterogeneous integration, simulation time for conventional modelling & optimization is becoming too slow with limited insight of the full design space. Machine Learning models can be deployed at different design stage depending on the required accuracy to quickly assess and optimize design performance reducing overall cost & time-to-market. **We are on a journey to create the best Infineon for everyone.** This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon. **Infineon Hub - Connect. Create. Challenge.** The iHub at TU Wien represents an inspiring tech platform, networking area and event location, connecting Infineon Austria with tech experts, science specialists and young professionals. Check out our upcoming events: Infineon iHub