Fraunhofer-Gesellschaft is seeking a Post-Doc in Computer Vision to strategically develop and shape the application of image-based AI tools for cost-effective use in production environments. In this role within the Embedded AI (EAI) research group, you will establish your own research focus areas and actively build partnerships with industrial collaborators.
What You'll Do
- Research the current state of Computer Vision in industry through scientific publications, lectures, and conferences.
- Conduct in-depth technology analysis based on state-of-the-art research, your own expertise, and existing tools at Fraunhofer IMS.
- Identify relevant industrial use cases, develop a strategic roadmap for Computer Vision in production, and initiate active customer outreach.
- Approach potential new partners, create offers, and develop project concepts.
- Lead and provide technical direction for research and industrial projects, including contributions to software frameworks.
- Utilize and develop tools and solutions, leveraging frameworks like OpenCV.
- Present research results and experiences through publications and at networking events.
- Supervise student assistants, scientific assistants, and academic theses at the bachelor's, master's, and doctoral levels.
What We're Looking For
- A very well-completed master's degree followed by a doctorate in computer science, electrical engineering, mechanical engineering, physics, or a related field with a focus on AI/ML or Computer Vision. Alternatively, several years of comparable professional experience.
- Solid practical experience with Machine Learning/Deep Learning, particularly for time series, sensor, or image data.
- In-depth knowledge of Computer Vision and associated frameworks (e.g., OpenCV) to design complete CV pipelines from data acquisition to deployment.
- Solid proficiency in Python and/or C++, and experience with common ML frameworks such as PyTorch, TensorFlow, or Keras.
- Initial practical experience in project management.
- Strong communication and networking skills, with an affinity for customer contact and building partnerships.
- Very good German and English language skills, both spoken and written.
Nice to Have
- Experience with third-party funded projects, from proposal submission to reporting and project controlling.
- Experience in acquisition and creating offers for industrial partners.
- Knowledge in the field of Embedded/Edge-Computing (e.g., microcontrollers, edge gateways, industrial communication protocols).
Technical Stack
- OpenCV
- Python, C++
- PyTorch, TensorFlow, Keras
Team & Environment
You will be part of the Embedded AI (EAI) research group, working closely with other researchers on the integration of AI into industrial applications.
Benefits & Compensation
- Opportunity to independently shape and build visibility in the field of 'Computer Vision in production'.
- Close integration between research and industrial application, enabling you to implement ideas from conception to real-world use in factories and build a network with leading industrial companies.
- Regular team activities such as pub quizzes, bowling, and barbecue evenings to promote team cohesion.
- Flexible working hours (flexitime with core hours from 9:30 a.m. to 3:00 p.m., Friday from 9:30 a.m. to 1:00 p.m.).
- Mobile working options for up to two days per week.
- Company pension scheme (VBL) and subsidy for the Deutschland-Ticket Job.
- Very good public transport/car connections and free parking.
- Support services for work-life balance including with-child office, emergency childcare, and advisory services for homecare/eldercare.
- Corporate Benefits offering discounted offers from various brands.
Work Mode
This position follows a hybrid work model, combining on-site collaboration with the flexibility of mobile work.
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, worldview, disability, as well as sexual orientation and identity. Severely disabled persons will be given preferential consideration if equally qualified.
