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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Working Student - Energy-Efficient AI for Embedded Vision Systems (all genders) - **Company:** Fraunhofer-Gesellschaft - **Location:** Erlangen, Germany - **Contract:** Side job - **Skills:** Artificial Intelligence, Artificial Neural Networks, Computer Vision, Software Debugging, Hardware-In-The-Loop Simulation, Python (Programming Language), Visual Systems, PIC Microcontroller, Pytorch, Information Technology, Low Latency - **Published:** August 11, 2026 - **Apply:** https://de.indeed.com/viewjob?jk=162c5d6f3f538846 ## About the Role * You are currently studying electrical engineering, computer science or a related field. * You have experience with Python and are comfortable with PyTorch (model definition, training loops, saving/loading weights). * You have basic CNN/ computer vision knowledge (conv layers, pooling, image classification pipelines). * You bring a debugging mindset for hardware-in-the-loop work. * First experiences with embedded systems, C or microcontroller skills are a plus. * Basic understanding of power/energy metrics are an advantage. ## Description * Model Development: You train and adapt spiking neural network (SNN) models using PyTorch-based SNN frameworks such as SpikingJelly or snnTorch for image classification on public benchmark datasets such as CIFAR-10. * Hardware Deployment: You deploy trained models to neuromorphic edge AI hardware and work with hardware-specific constraints. * Live Demo: You build a simple live demo using a camera for real-time image classification on the hardware. * Power Measurement: You measure power and energy consumption and compare the results with existing solutions. * Performance Evaluation: You compare different platforms based on accuracy, latency, and energy consumption. * Documentation: You document your setup, results, and key findings., * Organize your schedule: Benefit from flexible working hours that are perfectly compatible with your studies. * Become part of a creative team: Experience an open and friendly working atmosphere in which your ideas are valued. * Variety that inspires: Look forward to divers tasks that inspire and challenge you. * Shape the future with us: Take part in application-oriented research and put your theoretical knowledge to practice. * Innovation that inspires: Exciting and pioneering projects that make a real difference. We will agree your start date and weekly working hours with you individually (as a working student 10 to 20 hours per week). You can reduce your hours before exams and increase them during semester breaks. You can set your working days flexibly. After your studies, there are attractive opportunities to join the institute on a full-time or part-time basis. You can flexibly determine the working days of your fixed-term employment contract. We would be happy to offer you the opportunity to write a bachelor's or master's thesis in cooperation with us in the above-mentioned subject area. The thesis will be assigned and carried out in accordance with the rules of your university. For this reason, please discuss the thesis with a professor who can advise you over the course of the project. 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 people are given preference if they are equally qualified. About Fraunhofer ## Related Videos - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. 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