h3Postdoctoral Researcher in Embedded Hardware, FPGA, Edge AI and Smart Sensors /h3p80%-100%, Zurich, fixed-term /ppD-ITET PBL is a research and teaching group at ETH Zurich working on embedded systems, Edge AI, TinyML, smart sensing, FPGA-based systems, autonomous robots, and drones. We are looking for a talented and highly motivated postdoctoral researcher with a strong hands-on hardware and FPGA background, who is interested in contributing substantially to both research and teaching. /ppThe ideal candidate should enjoy developing complete embedded systems, from sensor and processor selection to PCB design, FPGA/MCU implementation, firmware development, hardware debugging, and deployment of signal-processing and machine-learning algorithms. /ppA significant part of the position will also involve teaching and student supervision, particularly in the areas of embedded systems, FPGA design, electronics, and machine learning on microcontrollers. /ph3Job description /h3pCandidates should have a PhD in Electrical Engineering, or a closely related field. /ppA strong practical embedded hardware background is essential, including experience in several of the following areas: /pulliFPGA design and implementation, including HDL development and hardware/software co-design /liliDesign and development of complete embedded hardware/software systems /liliPCB schematic design, layout, board bring-up, debugging, and validation /liliIntegration of sensors, microcontrollers, FPGAs, SoCs, and embedded processors /liliEmbedded programming in C/C++ /liliReal-time signal processing and embedded perception, hardware-aware AI /liliInterfaces such as SPI, I2C, UART, CAN, USB, Ethernet, MIPI, or similar /liliUse of oscilloscopes, logic analyzers, power analyzers, and hardware debugging tools /liliDeployment and optimization of machine-learning models on resource-constrained hardware /li /ulpCandidates should also have experience or strong interest in Edge AI, TinyML, embedded machine learning, neuromorphic computing, or signal processing. /ppWe are looking for someone who can take ownership of a prototype from concept to a complete working hardware/software system, rather than focusing exclusively on simulation or algorithm development. /ph3Teaching Responsibilities /h3ulliTeaching embedded systems /liliTeaching and supporting FPGA-based design /liliTeaching machine learning on microcontrollers and embedded processors /liliDevelopment of hands‑on laboratory exercises and demonstrators /liliSupervision of Bachelor and Master projects /liliCo‑supervision of PhD students /liliSupport of large project‑based learning activities /li /ulh3Project Management and Fundraising Responsibilities /h3ulliSupporing the preparation of European and national research proposals /liliContribution to Horizon Europe, MSCA, SNSF, Innosuisse, ESA, and other competitive funding applications /liliIdentification of new funding opportunities and preparation of technical work plans /liliCoordination and management of European research projects and work packages /liliInteraction with international academic and industrial partners /liliPreparation of project deliverables, reports, milestones, and reviews /liliSupport in budget, resource, and task planning together with the PI and administrative staff /liliOrganization of technical meetings and coordination across project partners /liliContribution to the definition of new research directions and collaborative projects /li /ulh3Additional Responsibilities /h3ulliCoordination of laboratory equipment, embedded platforms, sensors, prototyping tools, and shared infrastructure /liliSupport for the organization, maintenance, and continuous improvement of the lab environment /liliDefinition of good practices for hardware development, documentation, safety, equipment usage, and shared resources /liliSupport and mentoring of students and researchers using laboratory equipment /liliContribution to the acquisition and selection of new laboratory equipment and prototyping platforms /li /ulh3Profile /h3pThis position is intended for candidates with a strong hands‑on embedded hardware profile. Applications that are primarily focused on software, data science, or machine learning without demonstrated embedded hardware experience will not be considered. /ppApplicants should provide clear evidence of at least 5–6 of the following topics: /pulliHands‑on FPGA development and HDL design /liliDevelopment and debugging of complete embedded systems /liliPCB design, board bring‑up, or substantial hardware integration experience /liliEmbedded C/C++ development on MCUs, SoCs, or similar platforms /liliExperience integrating and experimentally validating sensors and embedded platforms /liliA strong publication record directly related to embedded systems, smart sensing, FPGA, Edge AI, or closely related topics /liliInterest and experience in teaching and student supervision /liliAbility or strong interest in European project coordination and research proposal preparation /liliWillingness to take responsibility for laboratory infrastructure and hands‑on teaching activities /li /ulpThe ideal candidate will have defended their PhD within the past two years and should ideally not have already spent more than 3 years in fix‑term academic employment at ETH Zurich or EPFL. /ppIn the motivation letter, candidates should briefly describe two hardware systems they personally designed and implemented, specifying their individual contribution, the processors/FPGAs/sensors used, and the resulting working prototype. /ppApplications that do not clearly address these requirements may not be considered. /ph3We offer /h3ulliA postdoctoral position in D-ITET at ETH Zurich, in a highly international and interdisciplinary research environment /liliThe opportunity to work within PBL on hands‑on research combining embedded hardware, FPGA systems, smart sensors, Edge AI, TinyML, robotics, and autonomous systems /liliAccess to advanced laboratory infrastructure, embedded platforms, FPGA systems, sensors, robotics platforms, and prototyping equipment /liliThe possibility to take substantial ownership of real hardware prototypes and demonstrators, from initial concept to experimental validation /liliActive involvement in teaching at ETH Zurich, including embedded systems, FPGA design, machine learning on microcontrollers, and project‑based learning activities /liliOpportunities to supervise Bachelor, Master, and PhD students and to contribute to the development of new teaching activities /liliThe opportunity to take responsibility for parts of the research and teaching laboratory, including equipment, platforms, and technical organization /liliDirect involvement in European and national research projects, including project coordination, work‑package leadership, deliverables, reviews, and interaction with international partners /liliThe opportunity to contribute to fundraising and proposal preparation for Horizon Europe, SNSF, Innosuisse, ESA, MSCA, and other competitive programs /liliStrong interaction with academic and industrial partners in embedded systems, sensing, robotics, and Edge AI /liliSupport for developing an increasingly independent research profile, including leading publications, supervising students, initiating new research directions, and contributing to new proposals /liliA stimulating environment in which research, teaching, hardware development, and project leadership are closely connected /liliCompetitive employment conditions according to ETH Zurich regulations and the opportunity to work and live in Zurich /li /ulh3We value diversity and sustainability /h3pIn line with our values, ETH Zurich encourages an inclusive culture. We promote equality of opportunity, value diversity and nurture a working and learning environment in which the rights and dignity of all our staff and students are respected. Visit our Equal Opportunities and Diversity website to find out how we ensure a fair and open environment that allows everyone to grow and flourish. Sustainability is a core value for us – we are consistently working towards a climate‑neutral future. /ppFurther information about D-ITET an be found on our ee.ethz.ch. /ppWe would like to point out that the pre-selection is carried out by the responsible recruiters and not by artificial intelligence. /p #J-18808-Ljbffr
