Project Calls

Development of a compact spectroscopic sensor for the analysis of plant-based foods

Research, Development and Maturing of differentiating Mixed Signal IP blocks

The project aims at deve­lop­ment of next gene­ra­tion of MEMS based piezo­electric micro­spea­kers, with a focus on the deve­lop­ment of novel piezo­electric thin film wafers employing sputter depo­si­tion.

The project aims to explore innovative MIMO radar platforms that can cover a wider range of applications.

The project aims at developing a novel generation of magnetic MEMS microspeakers.

Developing of analysis algorithms and optical measurement devices for automated quality checking of electronic components.

Development of precise contactless temperature measurement & control for industrial setting.

The goal of the project is to measure and model broadband data transmission lines. These models shall give information of the changes of the quality of the data transmission.

The aim of this project is the exploration and fabrication of novel AlN-based pseudo-binary alloys for high-frequency electronics.

The goal of this project is the development and implementation of magnet reconstruction algorithms for modern magnetic position and orientation sensor systems.

The goal is the development of (soft) real-time capable algorithms for the precise determination of the system state (e.g., position, "scenario") based on measurement data.

2.5 & 3D integration using through-silicon via (TSV) wafers has attracted much attention in recent years for both front-end foundries and back-end packaging. In this project, SAL & suitable partner(s) will focus on the development of TSV wafer integration processes such as temporary bonding, via filling, thinning and debonding – specifically tailored for advanced sensor/sensing solutions.

The aim of this project is to create an intelligent environment analysis platform for precision measurements of features mainly using (but not restricted to) vision sensors in combination with state-of-the-art advanced signal processing and machine learning techniques.

The goal of the project is the development of a sensor system to detect the state of health of a wear protection inside an industrial machine during operation.

Generation of simulation models to predict behavior of wireless transmission systems using both low and high bandwidths in automotive applications. Verification of the simulations are done with measurements.

The aim of this project is the development of electrostatic automotive exhaust particle sensors for fleet emission monitoring.

The aim of this project is the development of an energy storage and consumption demonstration system for residential scenario with novel hybrid battery storage system (HBSS) and EEBUS based intelligent energy management system (EMS).