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We are developing next-generation materials for Personal Protective Equipment (PPE) and have a first-generation material that needs improving! Our aim is to understand the limitations and improve upon the performance of the technology. - Characterisation of Macromolecules, Polymers
- Master Thesis, Semester Project
| With our newly collected dataset, we are the first to enable to train a generic gaze estimation method with different head poses. - Information, Computing and Communication Sciences
- Master Thesis
| FGen is a biotechnology spin-off company of the ETH Zurich active in the field of Synthetic Biology and high throughput screening. We are located at the Technologie Park Basel and offer positions for bachelor/master studies and internships. - Bacteriology, Enzymes, Fermentation, Biotechnology and Industrial Microbiology, Gene Expression, Genetic Engineering and Enzyme Technology, Genetic Technologies: Transformation, Site-directed Mutagenesis, etc., Medical Biotechnology, Microbial Ecology, Microbial Genetics, Molecular Evolution, Mycology
- Bachelor Thesis, Collaboration, Internship, Lab Practice, Master Thesis
| In this project, we will develop a new deep learning approach to predict crop types in farmlands from satellite images. Two possible focus points are i) exploring TCNs for the sequence crop classification task, ii) exploring multi-task learning approaches to benefit from the additional label set. - Computer Vision, Geomatic Engineering, Image Processing
- Master Thesis
| this work aims to study the adsorption kinetics and interaction mechanisms between DASAs and LR and aluminosilicate nanoparticles. In particular, we will design a library of formulations combining DASA with different molecular structures (or LR) and clay-bearing various features. The adsorption and desorption kinetic will be evaluated by High-Performance Liquid Chromatography (HPLC) while the changes of the optical properties of DASA/LR upon clay interaction will be studied employing optical spectroscopy (absorption and emission). The hybrid material achieved combining DASA and clay nanoparticles will be characterized by X-ray based analytical techniques (i.e. energy-dispersive X-ray spectroscopy (EDS), Small-angle X-ray scattering (SAXS), X-ray Photoelectron Spec-troscopy (XPS)), electron microscopy (SEM, TEM), Fourier-transform infrared spectroscopy (FTIR) and confocal microscope. Last, selected hybrids will be incorporated into polymer matrices to study the photoswitching and fluorescent properties and their improvement in comparison with the incorpora-tion of the pristine DASAs/LR. - Chemistry, Engineering and Technology, Physics
- Master Thesis
| This master thesis project is a collaboration between IBM Research Europe in Zurich and the Urogenus laboratory at the University of Bern. The primary objective is to develop drug interaction models for prostate cancer, a cancer type that still lacks effective long-term and targeted treatment. - Artificial Intelligence and Signal and Image Processing, Computational Biology and Bioinformatics
- Master Thesis
| The hypothesis is that superblocks can be implemented in Switzerland to improve the sustainability of cities. The goals are to explore and assess impacts on urban mobility and walkability of different superblock scenarios. - Architecture, Urban Environment and Building, Engineering and Technology, Information, Computing and Communication Sciences
- Master Thesis
| You will work with partners in Ghana to characterize the energy system of Accra for the purposes of energy system modeling. This includes defining the existing energy system, renewable energy resource potentials, and planning limitations in order to develop appropriate energy models and scenarios. - Other, Urban and Regional Planning
- Semester Project
| Place Recognition using deep learning semantic segmentation for multi-robot applications. - Computer Vision, Intelligent Robotics, Neural Networks, Genetic Alogrithms and Fuzzy Logic, Pattern Recognition
- Master Thesis, Semester Project
| Develop a machine-learning-based motion estimation pipeline using event cameras. - Computer Vision, Pattern Recognition
- Master Thesis, Semester Project
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