Student Assistant Computer Vision/Deep Learning
vor 11 Stunden
Future. Discover. Together. The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for a student assistant in the area of deep learning for scene analysis in the construction domain/synthetic data creation and transformation. The group develops AI methods for 3D model creation, plan and scene analysis in the construction sector by analyzing as-built data (plans, images, point clouds) with artificial intelligence and integrating them into a BIM-based model. Become a part of our team and join us on our journey of research and innovation Be part of change Support for the development and integration of 3D pose estimation and localization methods in the building sector Creation of synthetic reference datasets and the development of Python scripts for the automatic creation and annotation of training data from real building models Developing scripts for processing BIM and IFC data Testing neural networks in the building domain Creating interfaces between AI modules What you contribute Master's student in computer science or an equivalent subject at a Berlin university or college with above-average grades Very good programming skills in Python and proficiency in graphics and computer vision libraries such as OpenCV and OpenGL, as well as deep learning frameworks such as Pytorch or Tensorflow Good theoretical knowledge in the field of computer graphics and computer vision, as well as knowledge of 3D transformations and camera models Ideally, basic knowledge of rendering engines (e.g., Blender, Unity, or Unreal Engine) or BIM (Building Information Management) systems Structured way of working, both independently and within a team What we offer Fascinating challenges in a scientific and entrepreneurial setting Attractive salary Modern and excellently equipped workspace in central location Great and cooperative working atmosphere in an international team Opportunities to write a master's thesis Flexible working hours Opportunities to work from home The position is initially limited to 1 year. An extension is explicitly desired. The monthly working time is 80 hours. This position is also available on a part-time basis. 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, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. Remuneration according to the general works agreement for employing assistant staff. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. Ready for a change? Then apply now and make a difference Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next. If you have any questions, please contact: Anna Hilsmann Niklas Gard Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI Requisition Number: 82252 Application Deadline: 01/31/2026
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Student Assistant Computer Vision/deep Learning
vor 1 Woche
Berlin, Deutschland Fraunhofer-Gesellschaft Vollzeit**Future. Discover. Together.** The Computer Vision & Graphics group of the Vision & Imaging Technologies (VIT) department is looking for students for the development of a system for hand vein recognition. In collaboration with an industrial partner, we are developing a robust system for contactless palm vein identification based on time-of-flight (ToF) and...
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Werkstudent*in Computer Vision/Deep Learning
vor 16 Stunden
Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitZukunft. Gemeinsam. Entdecken. Die Gruppe Computer Vision & Graphics der Abteilung Vision & Imaging Technologies (VIT) ist auf der Suche nach einem*einer Werkstudent*in im Bereich Deep Learning, um Verfahren zur Kameraposenschätzung relativ zu 3D-Szenen weiterzuentwickeln sowie synthetische Trainingsdaten zu erstellen und zu transformieren. Die Gruppe...
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Werkstudent in Computer Vision/ Deep Learning
vor 1 Woche
Berlin, Deutschland Fraunhofer-Gesellschaft VollzeitDie Fraunhofer-Gesellschaft betreibt in Deutschland derzeit 76 Institute und Forschungseinrichtungen und ist die weltweit führende Organisation für anwendungsorientierte Forschung. Rund 30 000 Mitarbeitende erarbeiten das jährliche Forschungsvolumen von 2,9 Milliarden Euro. **Zukunft. Gemeinsam. Entdecken.** Die Gruppe Computer Vision & Graphics der...
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W3-Universitätsprofessur für das Fachgebiet „Deep Learning“
vor 15 Stunden
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vor 3 Wochen
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Student Assistant in Applied Machine Learning
vor 2 Wochen
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Deep Learning Engineer
vor 1 Tag
Berlin, Berlin, Deutschland Solutyics VollzeitCompany DescriptionSolutyics operates with a vision to harness the power of Data and AI to unlock limitless possibilities. Our team of experts is dedicated to advancing technology by addressing complex challenges and delivering cutting-edge solutions in Artificial Intelligence, Machine Learning, Data Engineering, and Advanced Data Analytics. We prioritize...
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Berlin, Deutschland Technische Universität Berlin VollzeitW3-Universitätsprofessur für das Fachgebiet »Deep Learning« Fakultät IV - Elektrotechnik und Informatik, Institut für Softwaretechnik und Theoretische Informatik Kennziffer: IV-520/25 (besetzbar ab 01.01.2026 / unbefristet / Bewerbungsfristende 12.01.2026) Ihre Aufgaben: Die zu besetzende Professur soll Forschung und Lehre in einem oder mehreren der...
