Department of Mechanical and Process EngineeringAcronym | D-MAVT | Homepage | http://www.mavt.ethz.ch/ | Country | Switzerland | ZIP, City | | Address | | Phone | | Type | Academy | Parent organization | ETH Zurich | Current organization | Department of Mechanical and Process Engineering | Child organizations | |
Open OpportunitiesMobility is typically self-optimized for a particular region to accommodate internal travel needs. However, as soon as one considers multiple, interacting regions (e.g., urban areas interacting with agglomerations, and agglomerations interacting with rural areas), important coordination issues occur, including scheduling mismatches, fleet allocations, and congestion peaks. In short, a mobility system composed of self-optimized mobility systems seems to often operate suboptimally.
In this project, we will investigate the idea of strategic interactions of future mobility stakeholders across heterogeneous regions, such as urban areas, agglomerations, and rural areas, leveraging techniques from network design, optimization, game theory, and policy making. - Automotive Engineering, Information, Computing and Communication Sciences, Mathematical Sciences, Mechanical and Industrial Engineering, Transport Engineering
- Master Thesis, Semester Project
| Conventional pharmaceutical and nutraceutical products (e.g., sport supplements) provide limited control over the release of bioactive ingredients (AIs) and poor absorption and bioavailability. To grant a proper therapeutic effect and athletic performance, common products need frequent intake at high dosages. This scenario is associated with an increased risk of short and long-term complications that can affect the performance of athletes as well as compromise the health long-term. Recently, novel techniques (e.g., 3D printing) and biomaterial formulation have become available for personalized sport supplements. The high versatility, flexibility, and increase absorption resulting from such products, open the way for increasing performance in sport but also for health benefits to generic people by target physiological characteristics and needs of specific groups. - Biomedical Engineering, Biotechnology, Chemical Engineering, Human Movement and Sports Science, Industrial Biotechnology and Food Sciences, Macromolecular Chemistry, Manufacturing Engineering, Materials Engineering, Medical Biochemistry and Clinical Chemistry, Medical Physiology, Pharmacology and Pharmaceutical Sciences
- Internship, Lab Practice, Master Thesis, Semester Project
| In 2021, solar and wind power for the first time provided more than 10% of the world’s electricity [1]. This makes wind a major and strategic part of the mix to achieve the energy transition and a green economy. Despite broad public support for renewables in general, challenges in social acceptance for wind continue to occur regionally and locally. The opposition usually focuses on aspects such as wildlife safety, biodiversi-ty protection, noise, visibility and landscape impacts, and loss in property values [2, 3]. For the effective implementation of wind farms, it is crucial to understand and address these varying facets of social accept-ability. This study aims to assess the perspectives of residents living near wind farms across different Euro-pean regions, employing Multicriteria Satisfaction Analysis (MUSA) [4]. The objective is to devise region-specific strategies to enhance the acceptability of wind energy projects. Additionally, this research will ex-plore the relationship between socio-demographic and geographical characteristics of the residents and their acceptance of wind power, aiming to uncover underlying factors influencing the social acceptability of wind energy. - Engineering and Technology
- Master Thesis
| An alternative solar particle receiver (SPR) configuration is proposed, in which particles are falling inside a duct against a counter-current air flow. The aim of this work is to investigate the thermal performance of the receiver and to gain a better understanding of the physical phenomena taking place. - Fluidization and Fluid Mechanics, Heat and Mass Transfer Operations, Mechanical Engineering
- ETH Zurich (ETHZ), Master Thesis
| Use Inverse Reinforcement Learning (IRL) to learn reward functions from previous expert drone demonstrations. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Explore the use of large vision language models to control a drone. - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Learn complex drone maneuvers from human feedback using Reinforcement Learning (RL). - Engineering and Technology, Intelligent Robotics
- Master Thesis, Semester Project
| Implementation of a localization and state estimation system for a special ground robot using IMU and 2D LiDAR. The ground robot is part of a Gravity offload system for testing of spacecraft solar arrays (which are designed for microgravity) on earth. - Intelligent Robotics
- Semester Project
| Iron deficiency anemia (IDA) is one of the most widespread nutritional deficiencies worldwide, increasing the risk for disability and death for more than two billion people. Iron supplements are needed for prevention of iron deficiency, especially among infants, children and pregnant women, and for correction of IDA in all affected individuals. Conventional iron supplements, commonly cause nausea, epigastric discomfort and other gastrointestinal side effects that lead many individuals to discontinue and avoid their use.
In this project, gastric resident systems (GDSs) will be produced using advanced manufacturing approaches (e.g., 3D printing) and the resulting release kinetic of the bioactive compounds will be characterized. Based on the results, different GDSs 3D design, formulations, and combination of active compounds will be tested. - Biology, Chemistry, Engineering and Technology, Medical and Health Sciences
- Master Thesis, Semester Project
| In this project, we want to explore the application of predictive stability filters for automotive applications. Predictive stability filters allow augmenting human or learning-based controllers such that safety in terms of constraint satisfaction as well as stability of a desired setpoint can be guaranteed. Such algorithms present possible solutions for automotive applications such as, e.g., lane keeping. - Engineering and Technology, Systems Theory and Control
- Master Thesis
|
|