16 Postdoctoral Fellowship at University of Amsterdam, Netherlands

The next decade for Representation Learning will find Causality, Interactivity, and Embodiment in the centre, given also the impressive progress in 3D simulated. However, our causal representations are not yet mature enough to compete with the likes of self-supervised learning, which however, rely purely on correlations. What is more, our causal representations are not yet mature to account for all possible fine-grained interventions and interactions that a 3D World would require. Are you passionate about bleeding edge research on Causal Representation Learning and with a knack towards Computer Vision and Embodied AI applications? Then this is the position for you! We are looking for a postdoctoral researcher with expertise in Causal Representation Learning, Causality or Machine Learning to join a team of 15+ researchers (1+1 years contract); a team that is connected with the ELLIS Network of Excellence in AI; a team with consistent and strong presence in the top Machine Learning, as well as Computer Vision conferences and journals.

Do you enjoy advancing science and technology by applying experimental tools and working in a multidisciplinary environment? Is developing thin-film materials and their integration into devices of your interest? Our group works on functional materials and together with academic and private partners develops methods for their integration into devices for advancing sensing technologies. We use state-of-the-art facilities and labs for the development, characterization, and testing of thin-film materials. In this project, we aim to integrate microporous metal-organic framework (MOF) thin films onto substrates via a vapor-based deposition method performed in vacuum. The integrated thin films will be accessed and used for sensing and other applications. We are looking for a postdoctoral researcher with hands-on experience with vacuum deposition equipment and in-depth knowledge of thin film materials to perform the fabrication of microporous thin films followed by their characterizations. Your research will be performed in the Functional Materials group of the Faculty of Science at the University of Amsterdam.

This project aims to develop a full state-of-the-art autoML architecture that particularly adopted to perception for autonomous driving. In detail, the system contains 1. Automatic collect and label new data for network training. 2. Automatic configuration of the network structure. 3. Automatic multi-tasking.

This project aims to develop a systematically solution for prediction pedestrians’ intention in typical driving scenes. More specifically, we take the perspective of an autonomous driving car and intent to predict the intention of the pedestrians in the scene. Especially, we focus on those intentions which are essential for the safety.

Deep network programmability, that is the ability to program the network fabric both vertically (control and data plane) and horizontally (end to end), is expected to characterize the new generation of mobile networks (6G) towards supporting extreme performance requirements and service-specific operations. To this end, enriching next-generation mobile networks with data plane programming capabilities can bring significant benefits with regards to network monitoring and telemetry analysis. In-band network telemetry (INT) can help correlate observed application/network performance degradation with network bottlenecks, short-lived congestion events, routing misconfigurations, or highly utilized network nodes and links. The objective of the post-doc appointment is to investigate in-band network telemetry (INT) solutions for evolving 6G systems with attention to 6G-optical integration. In this context, INT should support the collection of accurate end-to-end network state and QoS/QoE parameters, to support (proactive) network adaptation and near real time control.  Thus, new approaches and technologies will be developed and demonstrated for collecting, intelligently aggregating (e.g., using including autoencoders and other ML-based techniques) and processing monitoring information originated by user equipment and terminals, programmable HW-accelerated network elements, edge computing resources, and applications. Envisioned solutions should provide high monitoring accuracy along with low and fixed transmission overhead and ensure scalability/performance.

Are you enthusiastic about exploring the fascinating interplay between physics and mechanics? We are delighted to offer an exciting postdoctoral position in the Machine Materials Laboratory, located at the Institute of Physics of the University of Amsterdam. This unique research opportunity revolves around the field of Mechanical Metamaterials, combining experimental, numerical, and theoretical approaches. The primary focus of the project lies in investigating various aspects, such as dissipative effects (viscoelasticity, plasticity, and fracture), mechanical instabilities, odd elasticity, and pattern formation within metamaterials. The specific research project will be custom-tailored to align with the interests and expertise of the successful candidate, fostering a collaborative and fulfilling environment. Together, we will mutually agree on the direction of the research, ensuring it aligns with your passion and aspirations.

This study looks at trees as political tools in the world today. Trees are “the lungs of the world” and need urgent protection in view of widespread overexploitation for food, building material and many other human needs. Their cultural and spiritual meanings are manifold, and the use and protection of trees is never a simple process. This project analyses how humans turn trees into political tools and harness ecological concerns to political goals. One form of tree-based politics is planting or uprooting trees to facilitate—practically and symbolically—the occupation and settling of land. Another is resistance to deforestation, which affects indigenous people. I call such practices arboreal nationalism.

The University of Amsterdam is a partner in Nikhef, the Dutch National Institute for Subatomic Physics. The Neutrino Physics group at Nikhef takes part in the KM3NeT and DUNE experiments. The KM3NeT Collaboration is constructing a neutrino telescope in the Mediterranean Sea. Arrays of light-sensitive elements record the Cherenkov light produced by fast travelling charged particles in the sea water, these particles could originate from interactions of neutrinos. The energy and direction of the original neutrinos can be reconstructed from the amount of Cherenkov photons and their time-of-arrival in the detectors. The densely-instrumented KM3NeT/ORCA building block will focus on the measurement of neutrino oscillations, whereas the sparsely-instrumented KM3NeT/ARCA block will measure cosmic neutrinos and search for their sources. Our group is looking for a postdoc who will join us in the KM3NeT experiment with the goal to make a world-leading measurement of atmospheric neutrino oscillations and work towards the unambiguous determination of the neutrino mass ordering. You will work with experimental and theoretical physicists in the context of the NWO programme “The Hidden Universe of Weakly Interacting Particles”.

Are you passionate about Deep Learning and Medical Imaging, specifically Adaptive Radiotherapy? Do you want to research more on generative models, inverse problems neural fields, geometry, segmentation, reinforcement learning? Then this position, embedded in the ICAI POP-AART lab between the University of Amsterdam, the Netherlands Cancer Institute (NKI) and Elekta is the right fit for you. We are looking for a postdoctoral researcher with either Computer Vision, Machine Learning, or Applied Mathematics background to join a team of 15+ researchers (1+1 years contract); a team that is connected with the ELLIS Network of Excellence in AI; a team with consistent and strong presence in the top Machine Learning, as well as Computer Vision conferences and journals.

Your research deals with contemporary Latin American popular culture in public and digital spaces, and its interactions with society, politics and history. You will generate new knowledge and approaches and will publish articles on how Latin American popular culture and (political) art travel through space and time, and how social and political events, collective initiatives and artists – film and theatre makers, cartoonists, painters, musicians, authors – influence one another. Your research extends disciplinary boundaries, engaging with wider (global) debates and developments regarding identity-formation, memory-making, cultural heritage, social justice, decolonization, religion and/or migration. While insight in the ways in which digital platforms, social media and other new technologies increasingly connect local and national cultural expressions to wider (transnational) audiences and users is highly relevant, you are also aware that place-based social interactions remain very influential. Your study of Latin American popular culture lends itself to trans-local theorization, not limited to a specific country or community.

This postdoctoral research fellow position will be based at the Amsterdam Center for International Law and will be part of the new research group on the law and governance of quantum technologies at the Institute for Information Law, Amsterdam Law School, University of Amsterdam. The research group is a part of Action line 4 on the Ethical, Legal And Societal Aspects of Quantum Technologies of the Quantum Delta NL ecosystem. At the Amsterdam Center for International Law of the University of Amsterdam you will collaborate with other members of the research group based at the Institute for Information Law (IViR), as well as other relevant research initiatives such as the Asser Institute in The Hague, the Critical Infrastructure Lab and Quantum. You will have a workspace at the department of International and European Public law.

The University of Amsterdam invites applications for a postdoc position at the newly founded Research Centre for Sustainable Investments and Insurance. We are looking for talented and motivated researchers with a strong interest in the centre’s research activities. For this vacancy we are specifically looking for candidates who would contribute to the project  National and international regulators are increasingly requiring the insurance and pensions industry to stress test their insurance and financial portfolios for ESG risk. Focusing on nature-related ESG risk, this project will develop new integrated assessment models (IAMS), or enable existing ones, such that they can serve as a basis for nature-related ESG risk stress testing. The project will also analyse the broader policy implications of nature-related ESG risk for risk management, portfolio choice, pricing, and product development during the climate transition.

Are you a highly-motivated researcher looking for a post doc for performing state-of-the-art atomic physics experiments and developing quantum technology? Then we are looking for you. The hybrid atom-ion quantum systems lab, headed by Dr. Rene Gerritsma, is part of the Quantum Gases and Quantum Information (QGQI) cluster at the University of Amsterdam. The main focus of the group is to study the quantum dynamics in trapped ions while at the same time developing technology for emerging quantum applications, such as quantum computing and simulation.

The next decade for Computer Vision will find Embodied AI, Dynamics, and Interactive Learning in the centre, given also the impressive progress in 3D simulated. Are you passionate about bleeding edge research on Computer Vision and Deep Learning towards Foundational Embodied systems, and how they can be paired with Causal Representation Learning? Then this is the position for you! We are looking for a postdoctoral researcher with a background in either Computer Vision, Machine Learning, or Applied Mathematics to join a team of 15+ researchers; a team that is connected with the ELLIS Network of Excellence in AI; a team with consistent and strong presence in the top Machine Learning, as well as Computer Vision conferences and journals.