Machine learning/Artificial Intelligence has the potential to accelerate technological advances in leaps and bounds. The aim of this project is use machine learning to learn from Pareto-front results in the case of magnetic design, and generate component outputs without the need of going through the Pareto-front analysis, in order to reduce computation time. We are looking for a student (m/f/div)* in the field of Electrical Engineering to develop and design the neural network for such a system in order to generate information to aid power system design.
In your new role you will be responsible for:
Duration: Temporary / full-time
Starting date: earliest 01.10.2019 (working permit for Non-EU citizens takes about 6 weeks)
You are best equipped for this task if you have:
This position is subject to the collective agreement for workers and employees in the electrical and electronics industry. Master students receive a compensation of 2.210,-- Euro gross p.m. (full-time basis)
Please attach the following documents to your application:
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We make life easier, safer and greener - with technology that achieves more, consumes less and is accessible to everyone. Microelectronics from Infineon is the key to a better future. Efficient use of energy, environmentally-friendly mobility and security in a connected world - we solve some of the most critical challenges that our society faces while taking a conscientious approach to the use of natural resources.
*The term gender in the sense of the General Equal Treatment Act (GETA) or other national legislation refers to the biological assignment to a gender group. At Infineon we are proud to embrace (gender) diversity, including female, male and diverse.
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