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

At the Fraunhofer Institute for Laser Technology ILT, we may not be developing swords against the dark side of the Force, but our developments often sound like science fiction. This is because we are shaping the technologies and processes for the future of digital production, packaging and scanning technology and many other laser-based applications, such as 3D printing and laser fusion.

In the “Data Science and Metrology” department, we pursue an integrative approach to increasing productivity, efficiency and quality in laser-based manufacturing. Our interdisciplinary team works together in the groups “Process Sensors and Systems Engineering”, “Material Analytics” and “Computational Methods”. We use our expertise in data science, modeling and systems engineering to develop tailor-made solutions. These range from sensor technology, data acquisition and analysis to adaptive cyber-photonic systems. We also research digital solutions in conjunction with modern laser beam sources and optical systems. Our aim is to create disruptive innovations and new business models by combining the real and digital worlds.
 
To strengthen our Process Sensors and Systems Engineering group, we are looking for student assistants (m/f/d) to support us in the realization of adaptive, self-learning systems for laser material processing.

What you will do

• You are responsible for the preparation of sensor data
• Your tasks include exploratory data analysis and feature extraction
• You apply well-known data science libraries such as sklearn or PyTorch
• You will also compare various existing machine learning methods based on specific problems
• The targeted visualization of results is also within your area of responsibility

What you bring to the table

• You are studying physics, mathematics, computer science, mechanical engineering or electrical engineering
• Initial knowledge of programming with Python and initial experience in the field of data science
• Experience in the application of machine learning methods is optional
• You have a conscientious and independent way of working
• Initial knowledge of laser technology is desirable but not a must

What you can expect

�� Team spirit: Creative and interdisciplinary working environment, highly motivated team with experts, flat hierarchies and a “you” culture.
�� Workplace: Excellent machinery and equipment.
�� Co-design: Independent project management and room for innovative ideas in applied research.
��‍♀️ Work-life balance: Benefit from flexible working hours on a basis of trust. 
�� Development opportunities: With us, you have the opportunity for individual development through a wide range of further training opportunities. 
➕ Benefits: Opportunity to benefit from exciting corporate benefits.
�� How to get here: Good transport connections, parking spaces directly in front of the institute, an e-charging station and a parking garage.
�� Prospects:The opportunity to write your thesis.

Remuneration is based on the general works agreement on the employment of auxiliary staff.
The weekly working time is 14 hours and will be agreed individually at the interview. 
The position is initially limited to 12 months, but we are looking for a longer-term position to accompany your studies.
 
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 people are given preference if they are equally suitable.
 
Our tasks are varied and adaptable - we work together with applicants with disabilities to find solutions that best promote their abilities. The same applies if they do not meet all the profile requirements due to a disability.

Are you interested? Then we look forward to receiving your application and getting to know you!

Did you already know? We give you even more insights on our LinkedIn profile.��️

Questions about this position will be answered by:
Julius Neuß M.Sc.
+49 241 8906-8049

Fraunhofer Institute for Laser Technology ILT 

www.ilt.fraunhofer.de 

Requisition Number: 79021                Application Deadline: 04/09/2025