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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # PhD in Embedded Software for Dynamic Neural Networks - **Company:** KU Leuven - **Location:** Sint-Katelijne-Waver, Belgium - **Contract:** Internship / Graduate position - **Skills:** Artificial Intelligence, Application Performance Management, Computing Platforms, ARM Architecture, Artificial Neural Networks, Computer Vision, C++ (Programming Language), Compilers, Computer Programming, Computer Engineering, Memory Management, Embedded Software, Field-Programmable Gate Array (FPGA), Reduced Instruction Set Computing, Software Deployment, Software Engineering, Deep Learning, Hardware Acceleration, Wearables - **Published:** August 12, 2026 - **Apply:** https://be.indeed.com/viewjob?jk=80d4a52ce0e430b4 ## About the Role We are looking for highly motivated PhD researchers with a strong interest in hardware-software design for embedded systems and Embedded AI. * Candidates must hold a master's degree in electrical or computer engineering (or equivalent). Master's students who expect to graduate by the end of the year are also encouraged to apply. * Programming experience (C/C++) within the embedded field and/or software engineering and compilers is highly recommended. * Strong background in computer architectures and embedded platforms (ARM Cortex-M, NPU, FPGA, embedded GPU), e.g., via academic courses and/or project courses * Research experience (e.g., through a Master thesis work or research internships) is considered a strong asset. * Experience with Deep Learning and Artificial Intelligence is considered a plus. * Excellent proficiency in the English language is required, as well as good communication skills, both oral and written. * Strong interpersonal skills and the ability to work in an international team. ## Description The Embedded Systems unit of EAVISE at KU Leuven is looking for a highly motivated PhD researcher to join a novel research initiative investigating how embedded AI systems can dynamically optimize themselves after deployment. EAVISE is a multidisciplinary research group developing state-of-the-art AI, embedded computing, computer vision, and edge intelligence solutions for real-world applications. The Embedded Systems unit focuses on hardware-software co-design, AI deployment tools, and energy-efficient computing for future intelligent devices. Project Modern embedded AI systems rely on Deep Neural Networks (DNNs) running on resource-constrained devices such as wearables, smart sensors, hearables, and IoT nodes. While current deployment methodologies can optimize models before deployment, the resulting software remains static throughout the lifetime of the device. Consequently, energy consumption, memory usage, and computational requirements remain fixed, even when the application or environmental conditions evolve over time. This project investigates a radically new paradigm for Embedded AI: enabling devices to dynamically compress and adapt neural networks directly on-device after deployment. Inspired by how humans continuously optimize their physical efficiency through training, this project aims to develop software methods that allow deployed neural networks to progressively reduce their resource footprint while maintaining application performance. The research focuses include: runtime-reconfigurable neural network software kernels for novel embedded systems architecture, performance models for adaptive AI workloads, on-device search and optimization engines for memory-aware deployment, compiler and runtime systems capable of supporting dynamic neural network topologies, energy-efficient embedded AI frameworks targeting RISC-V multicore and heterogeneous computing platforms. The project combines fundamental research in embedded software and compiler systems with practical validation on state-of-the-art embedded AI hardware platforms. Successful outcomes could significantly extend battery lifetime and enable a new generation of adaptive and sustainable embedded AI systems, KU Leuven strives for an inclusive, respectful and socially safe environment. We embrace diversity among individuals and groups as an asset. Open dialogue and differences in perspective are essential for an ambitious research and educational environment. In our commitment to equal opportunity, we recognize the consequences of historical inequalities. We do not accept any form of discrimination based on, but not limited to, gender identity and expression, sexual orientation, age, ethnic or national background, skin colour, religious and philosophical diversity, neurodivergence, employment disability, health, or socioeconomic status. For questions about accessibility or support offered, we are happy to assist you at this email address. ## Related Videos - [Getting Started with Machine Learning](https://www.wearedevelopers.com/videos/260-getting-started-with-machine-learning) - [Android beyond mobile: Cars, TVs, and Wearables](https://www.wearedevelopers.com/videos/553-android-beyond-mobile-cars-tvs-and-wearables) - [Just-in-time Compilation in JVM](https://www.wearedevelopers.com/videos/240-just-in-time-compilation-in-jvm) - [Developing an AI.SDK](https://www.wearedevelopers.com/videos/198-developing-an-ai-sdk) - [Geometric deep learning for drug discovery](https://www.wearedevelopers.com/videos/264-geometric-deep-learning-for-drug-discovery) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Where To Find Software Engineering Jobs](https://www.wearedevelopers.com/magazine/396-where-to-find-software-engineering-jobs) - [Where to Find Entry-Level Software Engineering Jobs](https://www.wearedevelopers.com/magazine/397-where-to-find-entry-level-software-engineering-jobs) - [Top 6 Hackathons for Developers in 2023](https://www.wearedevelopers.com/magazine/263-top-6-hackathons-for-developers-in-2023) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline)