13 Postdoctoral Fellowship at ETH Zurich, Switzerland

The position offers flexibility to shape the research and specific responsibilities, and encourages creativity in defining the scope, contributions, and direction of the work.  Potential responsibilities include:

• Developing and applying computational models to explore cooperation, information sharing, and biodiversity policy implementation
• Investigating how decentralized or distributed data infrastructures can enable more equitable, transparent, and resilient biodiversity governance
• Engaging with international processes related to biodiversity, data, and AI policy
• Leading and contributing to peer-reviewed publications, collaborative research projects, and funding proposals
• Presenting research at international conferences, workshops, and policy forums
• Collaborating with interdisciplinary teams and supporting the mentorship of junior researchers

We are seeking a highly motivated postdoctoral researcher to join our group and contribute to advancing the spatial scalability of forest dynamics models in support of integrated forest management across nested spatial scales.

In this role, you will work at the intersection of forest ecology, modelling, and decision support. You will have the opportunity to strengthen your scientific profile through international collaborations, high-impact publications, and active involvement in student supervision.

The position offers a unique opportunity to contribute to the development of innovative model structures, help shape the Forest Studio software suite, and engage with a dynamic, interdisciplinary research team. We value creativity and welcome your own research ideas, encouraging the development of independent lines of inquiry that complement and expand upon the core goals of the project.

Quantum technologies promise to revolutionize multiple branches of science by solving problems that cannot be tackled by classical systems. While efficient and large-scale quantum computers are still far from being commercialized, quantum communication technologies are a reality already present on the market. The use of quantum states to share ultra-secure information is the only proven approach to achieve true communication privacy. However, un-conditional security requires the use of entanglement to establish non-classical correlations between communicating nodes, thus robust quantum networks and a future quantum internet. Commercial solutions avoid entanglement-based methods due to technical challenges, yet this limits the impact such technologies can have. In this project, we aim at further developing photonic integrated circuits for quantum communication, already demonstrated by our group, to address these performance limitations and realize integrated quantum transmitter and receiver of time-bin entangled photonic qubits. To do this, the lithium niobate on insulator (LNOI) platform holds a clear advantage over other integrated optics platforms as its high second order nonlinearity allows for efficient entangled qubits generation and high-speed signal modulation.

The project aims to develop quantum communication units on the LNOI platform, including qubit generation, transmission, measurement and drivers as a first prototype of entanglement-based high-speed photonic integrated circuits for quantum communication and networking. This includes developing high-speed electronic to drive the circuits, read and process data. The advertised position revolves around design and test of custom radio-frequency electronic circuits based on field-programmable gate arrays (FPGA, up to 20GHz) to drive high-speed electro-optic modulators, quasi-static thermo-optic qubit phase tuning, as well as process the transmitted quantum information in real time. 

The position entails duties in three axes: (1) research, (2) teaching, and (3) supervision. 

Research: The researcher is expected to conduct cutting edge research on analysis and enhancement of endoscopic videos. This entails development of new algorithms and methods, and software implementation of these developments. Maintaining an open communication and fostering the collaboration with the project partners. Completing the deliverables of the project. 

Teaching: The researcher will have the opportunity to contribute to the courses taught by the members of the BMIC group, including Image Analysis and Computer Vision and Medical Image Analysis. Teaching is not a mandatory part of the position but rather an option given to the researcher.

Supervision: The researcher will be expected to contribute to the supervision of semester and master thesis projects, master of science students conduct in the department. 

Our research group explores how complex electrolyte environments influence the reaction kinetics and product selectivity of the electrochemical CO2 reduction reaction (CO2RR) and related electrocatalytic processes. We place a strong emphasis on mechanistic insights and employ advanced, in‑situ characterization techniques—such as FTIR spectroscopy, differential electrochemical mass spectrometry (DEMS), and electrochemical quartz crystal microbalance (EQCM)—to study reaction pathways. We are seeking a postdoctoral researcher to drive these efforts forward.

You will join a collaborative, inclusive, and intellectually stimulating environment that prizes scientific creativity and curiosity. This is a full-time position, tentatively starting on July 1, 2025, or later. Applications will be accepted until the position is filled.