You love finding creative solutions for tricky challenges? You are passionate about computer vision?
Then join our team to use machine learning for better scene understanding.
Your task will be the conceptual design of algorithms that allow an encompassing digital representation of photographed scenes. This includes the retrieval of 3D geometry, optical material properties and illumination conditions. By means of machine learning and neuronal networks, you solve open challenges in computer vision and multi-camera systems. In collaboration with a team, you create prototype implementations, evaluate their performance and document the findings. Finally, based on identified user requirements, you optimize the systems and implementations for successful use in industry.
The Fraunhofer IIS »Audio and Media Technologies« division has been making its mark on media digitalization for over 30 years, developing pioneering standards such as MP3 and AAC. Motivated by this success, we aim to address new challenges in light-field image processing for media, communication, documentation, architecture and future automotive applications.
What we expect from you
- A scientific degree (Master, Ph.D. or equivalent) in Electronics, Computer Science, Natural Sciences, Engineering Sciences, Media Technologies, Neurosciences or a related subject
- Solid practical and theoretical experiences in machine learning exercised for at least two years
- Enthusiasm for computer vision and multi-camera algorithms
- Experience in using Python, MATLAB or C++
- Enthusiasm for scientific issues and scientific working methods
- Sound command of English for working in an international team
What you can expect from usWe offer you varied and challenging work in an enthusiastic team. You can contribute with your ideas and help design new concepts. Regular training is given, as are flexible, family-friendly work arrangements such as part-time contracts. You will have a state-of-the-art workstation in a modern, bright 2- to 3-person office.
In case of identical qualifications preference will be given to severely disabled candidates.
We would like to point out that the chosen job title also includes the third gender.
The Fraunhofer-Gesellschaft emphasises gender-independent professional equality.
Fraunhofer is Europe’s largest application-oriented research organization. Our research efforts are geared entirely to people’s needs: health, security, communication, energy and the environment. As a result, the work undertaken by our researchers and developers has a significant impact on people’s lives. We are creative. We shape technology. We design products. We improve methods and techniques. We open up new vistas.
Intimidating? Don’t worry. We are an interdisciplinary team, looking to support career-oriented talents.
Hence, do not hesitate to join the home of MP3 and send us your application (English or German)! Please submit it (in PDF format, including cover letter, CV and references) to: Claudia Kestler-Böhm, via our career portal, quoting reference number IIS-2019-AME106.
|Job Reference: IIS-2019-AME106||Closing Date:|