Student assistant in the field of data processing / machine learning

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• JOB OVERVIEW

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Select how often (in days) to receive an alert: Create Jobalert

Select how often (in days) to receive an alert: We offer a position for a student assistant starting as soon as possible.

What you will do

Research and production equipment for the deposition of thin films create large amounts of data with process, system and environmental parameters that have a significant influence on the coating properties. Because the many parameters often only make a statement about the desired coating properties in complex interrelationships, a quick interpretation by humans is often not possible.

To use the collected process data more effectively, we are looking for support in the preparation of process data and coating properties as a basis for modeling for the effective prediction of coating properties. What you bring to the table

• University study course (FH/Uni) in information technology, computer science, mathematics, physics, physical engineering or a comparable course of study,
• Programming experience in Python, ideally in connection with data processing,
• Knowledge of Linux, AI, digital signal processing, control engineering is advantageous,
• Confident handling of MS Office.

You should be a team player, communicative and open in dealing with people. Tasks should be completed independently, goal-oriented and efficiently/pragmatically as well as flexibly. What you can expect

• lnsight into one of the world's leading research organizations,
• Collaboration on innovative research projects in an interdisciplinary team,
• Expansion of theoretical study knowledge through practical applications,
• close supervision during familiarization with the subject matter by scientific staff and highly motivated junior staff,
• a modern, well-equipped and international working environment,
• flexible working hours to help you achieve a good work-life balance,
• Opportunities for professional and personal development,
• Access to the in-house library,
• Opportunity for professional and personal development and the development of an extensive network of expertise and cooperation

opportunities.

The weekly working time is app. 10 hours.

We value and promote the diversity of our employees' skills and therefore welcome all applications - regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Remuneration according to the general works agreement for employing assistant staff.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.

Interested? Apply online now. We look forward to getting to know you!

We will be happy to answer any technical questions you may have about this position: Mr. Dr.-Ing. Stephan Barth Phone: +49 351 2586-379

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