Postdoc Computer Vision in Production (m/f/d)

The Fraunhofer Society is one of the world's leading organisations for application-oriented research. 75 institutes develop groundbreaking technologies for our economy and society – more precisely: 32 000 people from technology, science, administration and IT. You know, who comes to Fraunhofer wants and can change something. For yourself, for us and the markets of today and tomorrow. As a research and development partner for the industry, the Fraunhofer Institute for Microelectronic Circuits and Systems IMS pursues the goal of developing customized microelectronic circuits, sensors and embedded software for specific requirements in the fields of production, medical technology, automotive and space. In the research group »EAI (Embedded AI)« we develop innovative algorithms for machine learning, for example in predictive maintenance. We already have many years of experience in the field of Computer Vision. In the industrial environment there is a great need for image-based AI tools for cost-efficient use in production. As a PostDoc, you will design this topic strategically, build your own focus and actively attract industrial partners for joint projects.

You develop the current state of research on computer vision in the industrial sector by visiting lectures, conferences or scientific publications. Based on the state-of-the-art to computer vision in the industrial sector, own knowledge and existing tools at the Fraunhofer IMS, you conduct a profound technology analysis. Then identify relevant use cases, develop a strategy for computer vision in production and start active customer response. To do this, talk to potential new partners and work out offers and project concepts. You will lead research/industrial projects and shape their know-how (e.g. participation in software frameworks). You will use internal and external state-of-the-art tools (e.g. OpenCV) and develop our own solutions in the team. As part of publications and network events, you will present your experiences and research results. In addition, you will supervise student and scientific assistants, bachelor and master thesis as well as dissertations.

Minimum qualification: Very well completed Master with subsequent PhD in Computer Science, Electrical Engineering, Mechanical Engineering, Physics or similar degree programs with a focus in AI/ML, Computer Vision or comparable multiannual professional experience Finded practical experience with machine learning/deep learning, especially for time series sensor or image data In-depth knowledge in the field of Computer Vision as well as the associated frameworks (e.g. OpenCV) to design, for example, CV pipelines from data recording to deployment Knowledge in the programming languages Python and/or C++ as well as common machine learning frameworks such as PyTorch, TensorFlow or Keras First practical experience in project management Embossed communication and network skills, joy in customer contact and building partnerships Very good knowledge of German and English in word and writing Preferred qualification: Experience with third-party projects from application status, reporting and project controlling Experience in the acquisition and creation of offers for industrial partners Knowledge in the field of embedded/edge computing (e.g. microcontrollers, edge gateways, industrial communication protocols)

The possibility to shape and make visible the subject of »Computer Vision in Production« Close interconnection between research and industrial application so that you can implement your ideas from idea to real use in the factory and build your own network to leading industrial companies Regular joint team activities such as Kneipenquizzes, bowling, barbecue and cooking evenings, promote exchange and cohesion in our team Flexible working hours (running time with integrated core working time from 9:30 to 15:00, Friday from 9:30 to 13:00) and mobile work on up to two days a week for better reconciliation of work and private life Occupational pension (VBL) and grant to the Deutschland-Ticket Job Very good transport with public transport/car and free parking Family and Occupational Compatibility Support: Mit-Kind-Office, Kindernotpflege und Beratungs zu Homecare-Eldercare etc. in cooperation with the pme family service Corporate Benefits: Benefits Offers from renowned manufacturers and brands