Fraunhofer IIS - Mikroelektronische und informationstechnische Systemlösungen und Dienstleistungen
Das Fraunhofer-Institut für Integrierte Schaltungen IIS in Erlangen ist eine weltweit führende anwendungsorientierte Forschungseinrichtung für mikroelektronische und informationstechnische Systemlösungen und Dienstleistungen. Es ist heute das größte Institut der Fraunhofer-Gesellschaft. Unter anderem mit der maßgeblichen Beteiligung an der Entwicklung der Audiocodierverfahren mp3 und MPEG AAC ist das Fraunhofer IIS weltweit bekannt geworden.
In enger Kooperation mit den Auftraggebern betreiben die Wissenschaftler internationale Spitzenforschung in den Forschungsfeldern Audio und Medientechnologien, Bildsysteme, Energiemanagement, IC-Design und Entwurfsautomatisierung, Kommunikationssysteme, Lokalisierung, Medizintechnik, Sensorsysteme, Sicherheitstechnik, Versorgungsketten sowie Zerstörungsfreie Prüfung.
Machine Learning for Image-Based Scene Reconstruction
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.
For over 30 years, the institute’s Audio and Media Technologies division has been shaping the globally deployed standards and technologies in the fields of audio and
moving picture production. Starting with the creation of mp3 and continuing with the co-development of AAC and the Digital Cinema Initiative test plan, almost all consumer electronic devices, computers and mobile phones are equipped with systems and technologies from Erlangen today. Meanwhile, a new generation of best-in-class media technologies is elevating the user experience to new heights. Always taking into account the demands of the market, Fraunhofer IIS develops technology that makes memorable moments.
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 we offer:
What you can expect from us
We 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.
Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD).
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.
How to apply:
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 https://recruiting.fraunhofer.de/Vacancies/47466/Description/2 , quoting reference number IIS-2019-AME106.
Please let us know how you learned about this job opportunity.
Additional information is available on our website: www.iis.fraunhofer.de/en