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The Harvard BIONICs Lab focuses on the development of biohybrid organs, engineering neuromusculature through surgical reconstructions and the incorporation of synthetic sensors and actuators. We co-develop these organs with implantable or wearable neuroprosthetics that perform bidirectional neural communication with the human body. The translational research is aimed towards restoring motor and sensory function for a variety of neuromuscular conditions.
At this internship, you'll have the opportunity to work as part of a interdisciplinary on research and development related to neuroprosthetics. This will commonly involve fabrication of implants, testing in small and large animal models and sometimes human studies. Our team is young, energetic and located in the brand new facilities of the Harvard Science and Engineering Center. - Engineering and Technology, Medical and Health Sciences
- Collaboration, Internship, Master Thesis, Summer School
| This project aims to experimentally study the dynamic response of bubbles to an external impulse. Impact-induced bubble dynamics observed for controlled initial conditions can help us model and identify the underlying mechanisms of traumatic brain injury and cavitation-induced damage. The main objectives include improving the in-house drop weight impact testing setup (the drop tower), high-speed imaging of bubbles and comparison with the theoretical model. The results will give insights into how single or multiple bubbles behave under extreme loading conditions. - Engineering and Technology, Physics
- Semester Project
| Developing AI models to create natural-sounding, expressive speech synthesis systems for healthcare applications. This project focuses on improving synthetic voices to capture emotion, tone, and non-verbal cues, enabling effective communication for individuals with speech impairments. - Behavioural and Cognitive Sciences, Engineering and Technology
- Master Thesis, Semester Project
| Perovskites are promising oxygen carrier materials, able to release a significant proportion of their lattice oxygen to the environment under relevant conditions. Provided the material is phase-pure, this release is reversible. However, the presence of surface impurities may impact the release and uptake rates of oxygen of the material. This thesis aims to understand the impact of surface impurities on these rates, by investigating their surface concentration and nature using advanced material characterisation techniques, and evaluating the oxygen release and uptake rates using thermogravimetry. - Chemical Spectroscopy, Chemical Thermodynamics and Energetics, Composite Materials, Solid State Chemistry, Structural Chemistry, Transition Metal Chemistry
- ETH Zurich (ETHZ), Master Thesis, Semester Project
| Background:
Lower back pain is one of the most prevalent health issues in Switzerland, with severe socio-economic consequences and a leading cause of reduced work performance. Approximately 20% of spinal fusion surgeries performed using off-the-shelf implants result in the surgical outcome being compromised post-operatively, often requiring one or more revision surgeries to address the associated pain.
The Laboratory of Orthopedic Technology has recently developed a novel spinal implant using topology optimization, which is currently undergoing a feasibility study for clinical applications.
We are seeking a master’s student who is passionate about medical devices and mechanical design and testing to join us for a semester project or master thesis. In this role, you will gain insight into the spinal surgery process, receive input from surgeons, and contribute to the mechanical design and testing of the implant.
Objectives:
• Perform the CT scan on animal vertebrae
• Evaluate the influence of implant placement/location variability
• Mechanical testing on the implant
• Develop surgical tools if needed
Your Profile:
• Strong knowledge in mechanical design and drawing skills.
• Hands-on and detail-oriented.
• Experience with SolidWorks or Fusion 360, as well as Python or Matlab.
Timeframe:
Spring semester in 2025
- Orthopaedics
- Master Thesis, Semester Project
| Künstliche Intelligenz wie ChatGPT verändert die Art und Weise, wie wir arbeiten, zusammenarbeiten und studieren. Das betrifft auch die Dienstleistungen, bei denen digitale Assistenten in die Interaktion zwischen den Teilnehmenden eingebunden werden. Wir gestalten das! - Information, Computing and Communication Sciences
- PhD Placement
| Basierend auf Ihren Kenntnissen aus der Vorlesung «Optimierung landwirtschaftlicher Produktionssysteme» erstellen Sie ein Optimierungsmodell in Excel oder R und beantworten damit eine von Ihnen erarbeitete Forschungsfrage. - Agricultural Economics, Environmental Sciences, Operations Research
- Bachelor Thesis
| In dieser Nutzerstudie soll eine neue Bürostuhlmechanik untersucht werden, die dynamisches Sitzverhalten fördern soll. Ziel der Studie ist es, die Nutzung des Stuhls im Büroalltag zu analysieren und die Ergebnisse mit denen herkömmlicher Bürostühle zu vergleichen. Dabei werden Bewegungssensoren (IMUs) eingesetzt, um detaillierte Bewegungsdaten von Sitz- und Rückenlehnen zu erfassen. Die Arbeit bietet spannende Einblicke in die Anwendung von biomechanischen Messmethoden und die Analyse von Bewegungsdaten im Büroalltag. - Engineering and Technology, Medical and Health Sciences
- Bachelor Thesis, Internship, Master Thesis, Semester Project
| Gaussian Belief Propagation (GBP) has emerged as a promising factor graph inference method, offering remarkable scalability and flexibility, particularly in distributed optimization across multiple agents.
However, GBP faces several significant challenges, including convergence issues, the dependency on reliable initial estimates, and the need for an efficient scheduling scheme to coordinate message passing.
This thesis project aims to address these challenges by exploring the integration of Bayesian modeling into the GBP process, to improve initialization and scheduling, ultimately enhancing the robustness and effectiveness of GBP in practical applications. - Computer Vision, Intelligent Robotics, Optimisation
- Master Thesis
| The revolutionary appeal of cryptocurrencies and the underlying distributed ledgers is that no one owns them. They are highly democratic systems (at least in principle): the community sets the rules of the ledger and maintains it. This has the unique feature of being highly dynamic and adaptable to the latest greatest in technology and societal needs. But to fully deliver on their appeal, distributed ledgers must employ a fair and efficient mechanism for self-governance. Should a ledger change its protocol, e.g., from proof-of-work to proof-of-stake? How should a newly identified bug be resolved? Many distributed ledgers have adopted voting-like mechanisms for this purpose, but crucially, voting rights are associated with the amount of tokens owned, and as a direct consequence, with the wealth of the users, contradicting the most basic principles of democracy. However, unlike in classical political decisions, crypto-governance decisions are highly dynamic and frequent - they almost occur in real-time. This makes them especially suited for a karma economy, which has been recently demonstrated to achieve highly fair and efficient outcomes in repetitive settings in a completely non-monetary manner. - Systems Theory and Control
- Master Thesis, Semester Project
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