Hardware-aware embedded AI for innovative healthcare applications

Job title:

Hardware-aware embedded AI for innovative healthcare applications

Company

Job description

Offer DescriptionThis research aims to design and implement a hardware-aware Neural Architecture Search (NAS) framework that can automatically generate efficient deep learning models optimized for specific embedded hardware platforms. These models will be deployed in resource-constrained, standalone devices-such as wearable sensors, portable diagnostic tools, or implantable systems-where real-time performance, energy efficiency, and reliability are critical.
Unlike traditional NAS approaches that focus primarily on accuracy, this project emphasizes hardware-awareness, integrating constraints such as memory footprint, latency, power consumption, and compute capabilities directly into the search process. The resulting framework will enable on-device intelligence without reliance on cloud connectivity, ensuring privacy, robustness, and low-latency decision-making in sensitive healthcare environments.
While healthcare is the primary focus, the framework will be designed to be modular and adaptable, making it applicable to other domains such as smart manufacturing, environmental monitoring, autonomous systems, and wearable consumer electronics. We are looking for highly motivated PhD researchers with an interest in communication systems design. The applicant should:- have a Master’s degree in Electrical Engineering or Computer Science,- have a strong background in AI-enabled signal processing and machine learning algorithms,- experience with (Edge AI) embedded platforms (e.g., ARM Cortex-M, NPU, FPGA),- proficient in programming languages like C, C++ and Python for code development and ML model training and inference,- be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades,- have has strong communication skills and is fluent in English,- have strong interpersonal skills and the ability to work in an international team. We offer:- A PhD scholarship for up to 4 years (subject to positive intermediate evaluations). If the applicant is non-EER, up to 1 year of pre-doc will also be supported.- An exciting research environment, working on the intersection between theory and implementation in a very multi-disciplinary research environment.- A PhD title from a highly ranked university (#1 in Europe in terms of scientific innovation) after approximately 4 years of successful research.- A thorough scientific education, the possibility of becoming a world-class researcher.- A KU Leuven affiliation, one of the largest research universities in Europe.- You will be working on a state-of-the-art topic with state-of-the-art laboratories.- The possibility to participate in international conferences, workshops and collaborations with top EU research teams. Contact Jona Beysens for more details. Jona BeysensWhere to apply WebsiteRequirementsResearch Field Engineering Education Level Master Degree or equivalentLanguages ENGLISH Level GoodResearch Field Engineering » Electronic engineering Years of Research Experience 1 – 4Additional InformationBenefitsWe offer:- A PhD scholarship for up to 4 years (subject to positive intermediate evaluations). If the applicant is non-EER, up to 1 year of pre-doc will also be supported.- An exciting research environment, working on the intersection between theory and implementation in a very multi-disciplinary research environment.- A PhD title from a highly ranked university (#1 in Europe in terms of scientific innovation) after approximately 4 years of successful research.- A thorough scientific education, the possibility of becoming a world-class researcher.- A KU Leuven affiliation, one of the largest research universities in Europe.- You will be working on a state-of-the-art topic with state-of-the-art laboratories.- The possibility to participate in international conferences, workshops and collaborations with top EU research teams.Eligibility criteriaWe are looking for highly motivated PhD researchers with an interest in communication systems design. The applicant should:- have a Master’s degree in Electrical Engineering or Computer Science,- have a strong background in AI-enabled signal processing and machine learning algorithms,- experience with (Edge AI) embedded platforms (e.g., ARM Cortex-M, NPU, FPGA),- proficient in programming languages like C, C++ and Python for code development and ML model training and inference,- be ranked within the top 10% of their class in MSc and BSc, and have exceptional grades,- have has strong communication skills and is fluent in English,- have strong interpersonal skills and the ability to work in an international team.Selection processContact Jona Beysens for more details. Jona BeysensWebsite for additional job detailsWork Location(s)Number of offers available 1 Company/Institute KU LEUVEN Country Belgium City Leuven GeofieldContact CityLeuvenSTATUS: EXPIREDShare this page

Expected salary

Location

Leuven, Vlaams Brabant

Job date

Fri, 20 Jun 2025 06:54:44 GMT

To help us track our recruitment effort, please indicate in your email/cover letter where (jobsineu.net) you saw this job posting.