Internship: Data Science

Vor 2 Tagen


Villach, Österreich Infineon Technologies Vollzeit

You are a committed student from the field of Data Science, Mathematics, Statistics, Computer Science, or similar and are looking for a new exciting student job? At KAI GmbH, you will perform in an industrial research environment, guided and supported by experienced researchers in such diverse areas as data science, hard
- and software design, simulation, modeling and semiconductor technology. We work in close cooperation with universities and research facilities supporting your academic education, whereas our industrial partner Infineon offers interesting opportunities for a prospective career path in the semiconductor industry. Come on board of our growing team in Villach

At KAI, we create Computer Vision solutions to efficiently extract information out of images. To support our team of experts we seek for an internship student.
**Tasks**:

- **Familiarization**with the **use case**, the available **software tools**, and the existing **computer vision methods**on **scanning electron microscopy (SEM) images**:

- **Requirements analysis**in close collaboration with the data science team and domain experts on the implementation and **results**of the **SEM image analysis**to ensure compatibility with downstream activities
- **Development**, **implementation**, and **evaluation**of various **computer vision**and **machine learning**methodologies for SEM image preparation, segmentation, and information extraction in an automated way
- **Documentation**and **communication of results**

**Further Information**

Type of employment: Temporary / Part-time (flexible working hours from Monday to Friday between 6 a.m. and 7 p.m.)
Duration: 12 months

You successfully meet the requirements, if you are a motivated and committed student from the field of **Data Science, Mathematics, Statistics, Computer Science,**or similar. You are best equipped for this task if you additionally offer:

- Deep **knowledge**about **computer vision**and **machine learning**appreciated
- Programming skills, e.g. **Java, Python**:

- **Communicative**with joy in **teamwork**:

- Language skills**:English**is required, German is a nice to have
- Finished bachelor’s degree in data science, mathematics, statistics, computer science, or similar is preferred
- Motivation letter
- CV
- Certificate of matriculation at a university
- Latest Transcript of records (not older than 6 months)
- Highest completed educational certificate (Matura certificate for Bachelor students, Bachelor certificate for Master students)
- Reference letter (optional)

**Contact**:
Ramona Steiner

**#WeAreIn for driving decarbonization and digitalization.**
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
**Are you in?**

**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.

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