Internship - Data and Workflows for AI Usage in Unit Process Development (f/m/div)

Infineon Technologies AG · Dresden

InternshipGerman needed: none

Still open on 2 Nov

You apply on the company's own website.

Key facts

Lifelong learning: Acquire knowledge on plasma etching processing, AI-data readiness and development workflows
Data is everything: Access and analyze current databases, identify data gaps and develop a cloud database for missing recipe/measurement data
Shape the future: Develop a scalable OutSystems web application to document experiments, extending the capabilities of the existing documentation
Take responsibility: Develop and test automated workflows and digital solutions in the context of Unit Process Development
Focus on the future: Create and enhance internal tools, applications, and digital solutions using technologies such as C# or Python to collect, cleanse, and analyze measurement data
Convince with words: Document your methods, implementation, benchmark results, and limitations, and present your ideas

Study field: You are a top-performing student currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or Artificial Intelligence
You have proven (2+ years) experience in programming, with practical knowledge of machine learning frameworks and data analysis tools
Familiarity with software development, scripting, and database technologies
Experience working with data pipelines, and data integration concepts is advantageous
Interests: You have a strong ambition for computer systems, programming and machine learning
You are experienced in programming and data analysis, with a strong foundation in statistics and mathematics
You are capable of critically assessing your own results
Experience in machine learning is a bonus
Personality: Proactive, self-driven and science interested.
You have very good communication skills, capable of explaining complex concepts to non-expert and can organize your work in a very structured way
Language skills: You have fluent English skills, both written and spoken, German would be a plus

About 17,000 free LinkedIn Learning courses in 10 languages, Mentoring & Coaching programs, Global Onboarding process as well as Virtual & f2f trainings
Flexible working hours & part-time work, Mobile work (specifications based on job profile and local requirements), Remote work from abroad / Workation (EU), Sabbatical (EU)
Health activities & programs, Health & Well-being LinkedIn Learning Journey,Health & Well-being Community
Employee events, Open & global community e.g. cross-site exchange through the virtuality of all meetings, Open office spaces
Fair and transparent remuneration, Success participation,Performance-related recognition, customised benefit packages

Lifelong learning: Acquire knowledge on plasma etching processing, AI-data readiness and development workflows
Data is everything: Access and analyze current databases, identify data gaps and develop a cloud database for missing recipe/measurement data
Shape the future: Develop a scalable OutSystems web application to document experiments, extending the capabilities of the existing documentation
Take responsibility: Develop and test automated workflows and digital solutions in the context of Unit Process Development
Focus on the future: Create and enhance internal tools, applications, and digital solutions using technologies such as C# or Python to collect, cleanse, and analyze measurement data
Convince with words: Document your methods, implementation, benchmark results, and limitations, and present your ideas

Study field: You are a top-performing student currently enrolled in a Bachelor's or Master's degree program in Computer Science, Data Science, or Artificial Intelligence
You have proven (2+ years) experience in programming, with practical knowledge of machine learning frameworks and data analysis tools
Familiarity with software development, scripting, and database technologies
Experience working with data pipelines, and data integration concepts is advantageous
Interests: You have a strong ambition for computer systems, programming and machine learning
You are experienced in programming and data analysis, with a strong foundation in statistics and mathematics
You are capable of critically assessing your own results
Experience in machine learning is a bonus
Personality: Proactive, self-driven and science interested.
You have very good communication skills, capable of explaining complex concepts to non-expert and can organize your work in a very structured way
Language skills: You have fluent English skills, both written and spoken, German would be a plus

About 17,000 free LinkedIn Learning courses in 10 languages, Mentoring & Coaching programs, Global Onboarding process as well as Virtual & f2f trainings
Flexible working hours & part-time work, Mobile work (specifications based on job profile and local requirements), Remote work from abroad / Workation (EU), Sabbatical (EU)
Health activities & programs, Health & Well-being LinkedIn Learning Journey,Health & Well-being Community
Employee events, Open & global community e.g. cross-site exchange through the virtuality of all meetings, Open office spaces
Fair and transparent remuneration, Success participation,Performance-related recognition, customised benefit packages