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Student assistant (m/f/d) in the field of data science and machine learning

Berlin
Studentenjob
Fraunhofer-Gesellschaft
Assistant
Inserat online seit: 17 Februar
Beschreibung

With its focus on key technologies relevant to the future and on the commercialization of results in business and industry, the Fraunhofer Society plays a central role in the innovation process. As a guide and driving force for innovative developments and scientific excellence, it helps shape our society and our future.

For over 35 years, the Fraunhofer Institute for Production Systems and Design Technology in Berlin has stood for excellence in production science. We are dedicated to combining science and practice in the field of industrial production and offer application-oriented system solutions for the entire spectrum of industrial tasks – from product development, production processes, maintenance of capital goods, and product recycling to the design and management of factory operations.



The Intelligent Networking department addresses the design of integrated value creation systems for virtual product development throughout the entire life cycle, as well as data-consistent product systems through the design of suitable methods, processes, organizations, IT systems, and data and information models.



Be part of change



* Research on scientific and technical problems
* Collaboration in the design, development, and testing of solutions in data science projects
* Selection, training, evaluation, and deployment of machine learning models
* Collaboration in the creation and use of semantic networks and graph databases



What you contribute



* Degree in data science, statistics, mathematics, computer science, media informatics, business informatics, or similar
* Experience in data science, machine learning, or AI model development
* Good German and English skills
* Ability to work in a team and independently



Advantageous, but not essential:

* Programming experience and software development
* Natural language processing and large language models
* Semantic technologies, ontologies, etc.



What we offer



* A great team and an open, collegial atmosphere
* Flexible working hours that can be reconciled with your studies
* An exciting and varied role in a leading research institute
* Opportunities to participate in current research projects
* Insight into modern technologies and innovative manufacturing processes



The remuneration is based on the overall company agreement for the employment of auxiliary staff.

The position is initially limited to one year.

The monthly working hours are negotiable between 60 or 80 hours.

The Fraunhofer Society values professional equality between women and men.



We appreciate and promote the diversity of skills among our employees and welcome all applications – regardless of age, gender, nationality, ethnic and social background, religion, beliefs, disability, as well as sexual orientation and identity. Disabled individuals will be given preferential consideration if they are equally qualified. We look forward to applications from women in STEM professions.



Fraunhofer is the largest organization for applied research in Europe. Our research fields are aligned with the needs of people: health, safety, communication, mobility, energy, and the environment. We are creative, we shape technology, we design products, we improve processes, we open new paths.



Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.





If you have any questions, please feel free to contact:



Mr.

Jörg Brünnhäußer



Please apply exclusively through the recruiting portal (button "Apply now" at the bottom right).

Fraunhofer Institute for Production Systems and Design Technology IPK



Requisition Number: 83304

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Home > Stellenangebote > Dienstleistung Jobs > Assistant Jobs > Assistant Jobs in Berlin > Student assistant (m/f/d) in the field of data science and machine learning

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