Job
In this role, you will develop a laboratory setup for analyzing road surfaces and create training datasets for AI-based image analysis to classify surfaces based on wear characteristics.
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Job technologies
Your role in the team
- You will set up a laboratory measurement system consisting of camera technology and lighting and optimize it for the reproducible capture of surface structures.
- You will create a training dataset consisting of surface images with known abrasiveness or abrasiveness to be determined as part of this work.
- You will develop an AI-based image analysis method and cluster the surfaces according to characteristic wear features (in collaboration with the Fraunhofer Institute for Industrial Mathematics ITWM).
Our expectations of you
Education
- Currently pursuing a master's degree in computer science, data science, physics, mechanical engineering, or a related field.
Qualifications
- Programming skills in Python.
- Basic knowledge of machine learning and image processing.
- Good English skills would be an advantage.
Experience
- Ideally, some experience with CNNs/Vision Transformers and clustering algorithms, as well as basic knowledge of optical measurement technology and lighting technology.
What we offer
- We are committed to creating an inspiring working environment in which all employees can develop.
- To this end, we promote and value the uniqueness of each person and create a culture of respect, openness and appreciation in which everyone is welcome:
- Teamwork at eye level: an open-minded team in which you can contribute your own ideas.
- New Work, diversity and inclusion as well as cooperative teamwork are central components of our culture.
- Theory meets practice: The opportunity to combine the knowledge gained during your studies with practical experience at the interface between business and science.
- Flex work: Your studies come first—we offer flexible working hours that fit around your study schedule.
- Students@UMSICHT: Comprehensive onboarding, excellent support and networking opportunities, as well as a wide range of opportunities to advance your career through training and keynote speeches.
- Health & well-being: Health offers for a good balance in everyday life.
- Remuneration according to the general works agreement for employing assistant staff.
Benefits
Health, fitness & fun
Work-Life-Integration
Topics you will work on
Job locations
About your employer
The Fraunhofer Society is the largest organization for applied research in Europe. We align our research fields with people's needs: health, safety, communication, mobility, energy and the environment. We are creative and design technology. We design products, improve processes and open up new avenues.
- 250+ Employees
- Established Company
- Onsite, Hybrid, Full Remote
- Science, Research
Employer reviews
- Engineering
- 2.9
- Career growth
- 3.8
- Team culture
- 3.5
- Working conditions
- 4.2
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