Project and Supervision: The selected postdoc will engage in a two- to three-year research appointment focused on producing high-quality, impactful research aimed at publication in top-tier academic journals. The research will align with the Chair’s core topics. Co-supervision and mentorship will be provided by Prof. Georg von Krogh and a team of senior researchers at SMI. Expected starting time: Q3/Q4 2025.

You will join a multi-PI consortium consisting of biomedical engineers and clinicians. We aim to use natural materials to bioengineer patient-specific osteochondral grafts that mimic the architecture, zonal organization and functional properties of native OC tissue as closely as possible. The osteochondral unit is comprised of transitions from hyaline articular cartilage, calcified cartilage zone, subchondral bone plate and subchondral cancellous bone.  Using 3D computer models based on native subchondral bone architecture, a high-resolution model of the subchondral microarchitecture will be printed from a bioceramic known for its outstanding toughness, strength and osseointegrative properties. Cellular layers of hyaline and calcified cartilage will be bonded to the bioceramic base and matured in a bioreactor until matching the native tissue.  The efficacy of these personalized grafts to regenerate OC lesions will be tested in an articular cartilage/subchondral bone defect model in sheep.  We hypothesize that these OC implants will be able to 1) restore the load-carrying capacity of the joint, 2) provide a mechanically stable support bed for the hyaline cartilage layer and 3) promote physiologic cartilage/bone crosstalk needed for long term joint homeostasis. 

We are inviting applicants for a postdoctoral position, starting as soon as possible but ideally in April/May 2025, to work on the tectono-geomorphic rates and processes driving species origination in global mountains. The research will specifically focus on three regions characterized by high levels of endemism and geomorphic disequilibrium: the Northern Andes of Colombia, Mexico, and the Atlantic Forest in Brazil. New field sampling methodology applied to these areas will provide a unique opportunity to analyze how geological and climatic processes drive speciation and shape both regional and global biodiversity. The project will involve mapping and characterizing tectono-geological processes associated with mountain plant diversity (e.g. GPS or DEM-based analyses); expanding our scope by using process-based models (i.e. DAC) to establish broader response functions between landscape change and speciation; integrating plate movement data (through tools such as GPlates) to understand how tectonic and geomorphic deformation influence paleogeography and paleotopography; and incorporating these insights into a global, process-based model to predict diversity dynamics, including periods of rapid diversification, equilibria or diversity erosion. We are seeking a highly motivated candidate with a strong background geology/geomorphology, or a related discipline, a strong interest for evolutionary biology, and who is interested in bridging field data, computational modeling, and large-scale analyses. Experience with geospatial analysis, programming, or modeling (e.g., Julia) is highly desirable. If you are passionate about uncovering how Earth’s dynamic processes shape life, we encourage you to apply.

The successful candidate will perform experiments in our new aerodynamic laser-heated levitation furnace in order to determine the densities of a range of liquid iron-rich alloys in-situ at the high temperatures relevant to the lunar core, together with Prof. Paolo Sossi and Dr. Guillaume Morard. The candidate will work together with Dr. Amir Khan and colleagues at the Institute of Geophysics (D-EAPS) to integrate experimentally derived densities into new geophysical inversions of the interior structure of the Moon.  

Agricultural waste production is an inevitable consequence of global farming practices, resulting in substantial residual biomass worldwide. Many of these by-products are still underutilized for energy use or treated as waste, which can cause environmental issues. In a bilateral international project between Switzerland and Vietnam funded by SNSF-NAFOSTED, we aim to develop sustainable approaches to better utilize agricultural waste, focusing on rice husk and rice straw, widely available in Vietnam.

The introduction of fiber optics in the 1970s has revolutionized the telecommunications industry upon the replacement of copper wires and played a major role in the advent of the Information Age – One high bandwidth fiber optic cable can replace thousands of electrical links to transmit the same amount of information. As parallels to the thriving field of stretchable electronics, soft optics is emerging as a new platform that uses the modulation of light in soft matter to encode multifunctionalities in the optical path. The goal of this project is to develop novel optical sensing scheme in soft materials and demonstrate the multifunctionality in complex real-​world environment.

We are seeking a highly motivated and talented Postdoctoral Fellow to join our dynamic research team focused on advancing the understanding and treatment of sepsis, a critical condition developed by patients in intensive care units, through cutting-edge machine learning and deep learning approaches. This position offers an exceptional opportunity to work with high-dimensional and multimodal datasets collected from adult and pediatric sepsis patients to develop predictive models and novel analytical tools.

The Responsible Automation initiative within NCCR Automation aims to address the societal impacts of automation technologies, ensuring they are equitable, ethical, and aligned with societal values. This includes designing frameworks and mechanisms that prioritize sustainability, fairness, and trust in automated systems.  

Our group focuses on understanding and controlling disorder in single crystals. Typically, disorder is considered a sign of crystal imperfection, but we find that often it is beneficial for functional properties and also gives rise to fascinating physics. This project will focus on disorder driven by electron instabilities in single crystals. The exact project scope will be tailored to the candidate’s expertise, focusing either on experimental measurements of diffuse scattering or on computational modeling of disordered systems.

In the frame of the DeltAs project, this postdoctoral position will investigate the spatially and temporally heterogeneous distribution of groundwater As contamination using modeling approaches. Furthermore, this position will investigate future scenarios of anthropogenic impact on the delta water systems and related groundwater As contamination. Areas of interest for this position include, but are not limited to, geostatistical modeling, interpretable and explainable machine learning, or hybrid modeling by combining process-based and data-driven approaches. Besides your own main project focus, you will contribute to the supervision of PhD and undergraduate students in the group.

RECIPE studies the risks, associated with the energy transition and climate change, that Switzerland can be exposed to in the coming 25-30 years. A set of hazards against which the Swiss energy infrastructure can be vulnerable will be identified by engaging a transdisciplinary team of experts. Hazard scenarios and vulnerability storylines will be articulated. The criticality of each energy infrastructure type will be estimated per hazard and per considered energy system evolution and climate change scenario. Criticality will be measured in terms of the impact on the Swiss economy, society, vital resources, and ecosystem. For the identified risks and vulnerabilities, appropriate resilience enhancement measures will be proposed by the consortium. Considered measures will include (i) adding new or maintaining existing energy infrastructure, (ii) new operational, asset management or monitoring processes allowing to properly and timely react to hazardous events, and (iii) non-technical measures, such as devising targeted policies or enhancing the resilience of the Swiss economy to energy disruptions. Finally, RECIPE will ensure that specific actionable recommendations to stakeholders will be produced based on all the project analyses and findings. 

We are seeking a highly qualified and motivated Postdoctoral Researcher or Senior Researcher to join our team working at the forefront of energy system modelling. This position focuses on the development and application of advanced power and energy system models, emphasizing the integration of mobility and heating in the electricity system and will be integrated in the activities of the Nexus-e group.

We seek a highly motivated postdoctoral researcher to develop and apply cutting-edge image analysis techniques. The successful candidate will contribute to projects involving diverse imaging modalities, including lightsheet microscopy, CT imaging, and ultrasound imaging. A strong emphasis will be placed on leveraging modern tools like napari and related Python- or AI-based frameworks to process, analyze, and visualize large-scale datasets.