Student assistant (m/f/d) in the field of intelligent Integration and data integration 1

Fraunhofer-Gesellschaft; Berlin; Vor Ort; Teilzeit

Zusammenfassung

A leading research institute in Berlin is seeking a candidate for software projects development in model-based systems engineering. The ideal applicant will have a degree in computer science or related fields, proficient programming skills, and experience with machine learning technologies. This role includes collaboration on research projects and an opportunity to write your thesis. The position offers flexible working hours and a collegial environment.

Leistungen

Flexible working hours

Opportunity to write thesis

Exciting work environment

Qualifikationen

• Degree in computer science, data science, artificial intelligence, or industrial engineering with a focus on IT/software.
• Very good programming skills in Python and Java.
• Experience with ML/AI libraries such as PyTorch, TensorFlow, and scikit-learn.
• Ability to work in a team, communicate effectively, and think analytically.

Aufgaben

• Support in the development and implementation of software projects.
• Participate in the development of intelligent software solutions.
• Use machine learning and LLM technologies to solve engineering problems.
• Collaborate in prototype development and practical research projects.

Kenntnisse

Programming in Python

Programming in Java

Machine learning algorithms

Analytical thinking

Communication skills

Ausbildung

Degree in computer science

Degree in artificial intelligence

Degree in data science

Tools

PyTorch

TensorFlow

scikit-learn

Jobbeschreibung

Overview

With its focus on future-relevant key technologies and the utilization of results in economy and industry, the Fraunhofer Society plays a central role in the innovation process. As a guide and source of inspiration for innovative developments and scientific excellence, it contributes to shaping 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 bridging the gap between 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 to the production process, maintenance of capital goods, and recycling of products to the design and management of factory operations.

In the Virtual Product Creation business unit at Fraunhofer IPK, we develop innovative approaches for model-based systems engineering (MBSE). Our focus is on optimizing development processes, the semantic mapping of product information, and the integration of MBSE into end-to-end product lifecycle management (PLM). The Intelligent Networking department addresses the design of integrated value creation systems for virtual product development across the entire life cycle, as well as data-consistent product systems, by designing suitable methods, processes, organizations, IT systems, and data and information models.

What you will do

• Support in the development and implementation of software projects and information architectures
• Participation in the development of intelligent software solutions based on knowledge graphs and ontologies
• Use of machine learning and LLM technologies to solve technical and engineering problems
• Planning, design, and implementation of project and software architectures for AI projects
• Collaboration in prototype development and practical research projects in cooperation with industry partners

What you bring to the table

• Degree in computer science, data science, artificial intelligence, industrial engineering with a focus on IT/software, or comparable
• Very good programming skills (Python, Java)
• Experience with ML/AI libraries such as PyTorch, TensorFlow, scikit-learn; ideally also with LLMs
• Practical experience with independent model training, hyperparameter optimization, and model evaluation
• Ability to work in a team, communication skills, analytical thinking, creativity in problem solving, and independent working style
• Good German or English skills

Advantageous, but not essential

• Experience with end-to-end ML pipelines, experiment tracking, or ML workflow tools
• Interest in semantic technologies, ontologies, or knowledge graphs
• Experience with APIs and data integration

What you can expect

• A great team and an open, collegial working environment
• Flexible working hours that can be combined with your studies
• Exciting and varied work at a leading research institute
• Opportunities to participate in current research projects Insight into modern technologies and innovative manufacturing processes
• Opportunity to write your thesis (bachelor's/master's) in collaboration with our institut

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 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.

Interested?

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

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

Ms. Ilinca-Laura Burdulea, M.Sc.

Email: [e-mail]

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

Fraunhofer Institute for Production Systems and Design Technology IPK

www.ipk.fraunhofer.de

Requisition Number: 81389