11 Postdoctoral Fellowship at University of Amsterdam, Netherlands

Are you interested in complex systems with focus on societal applications? Are you keen on making large physical/mathematical/computational models of social dynamics? Would you like to understand better the interrelations between polarisation, segregation and inequality using large data sets and methods from physics, mathematics, computational sciences, economics, sociology, psychology, or law? Do you find it fun to think about potential interventions that could result in a more equal and fair society? Do you enjoy working in an interdisciplinary setting?

The Research Priority Area, Emergent Phenomena in Society: Polarisation, Segregation and Inequality (RPA PSI) at the University of Amsterdam has three 3-year open postdoc positions. Besides the annual salary detailed below, the position includes € 4k of travel funding per year as well as access to funding for workshops, meetings, and visitors. 

RPA PSI is an interdisciplinary collaboration at the University of Amsterdam with the goal of uncovering the interplay between the various mechanisms underlying the social phenomena of polarization, segregation and inequality using a large data set curated by CBS (Statistics Netherlands). 

Are you enthusiastic about exploring the fascinating interplay between physics and mechanics? We are delighted to offer two exciting postdoctoral positions in the Machine Materials Laboratory, and in the Fluidlab, located at the Institute of Physics of the University of Amsterdam.

This unique research opportunity revolves around the fields of active matter, biophysics, fluid dynamics, metamaterials and robotics, combining experimental, numerical, and theoretical approaches. The primary focus of the project lies in investigating various aspects, such as non-reciprocity in soft matter, instabilities, odd viscosity and elasticity, elastoplasticity, and pattern formation within metamaterials and complex fluids.

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.

Are you passionate about machine learning, natural language processing, or computer vision? We are seeking a postdoctoral researcher to join the research group led by Ivan Titov (http://ivan-titov.org/), part of the natural language processing group of the Institute for Logic, Language and Computation (ILLC).

This position is part of the NWO Dutch Research Agenda (NWA) BenignSynthesis project. Recently, the EU introduced the concept of Safe and Sustainable by Design (SSbD) for chemical substances, processes and products. SSbD is a crucial element in accomplishing sustainable development goals and integrates earlier work on Safe-by-Design, sustainable development assessment and circular economy.

The NWO-NWA Phase II BenignSynthesis project will contribute to this international quest by building on the three projects that were granted in Phase I of the NWA Safe-by-Design call. These three projects span the design of chemicals, materials, and products for making them safe, sustainable and circular during their entire life cycle. The Phase II BenignSynthesis project will enable cooperation, synthesis and leverage to the knowledge and tools developed by the Phase I projects and will investigate the prospects and limitations of an integrated SSbD methodology. BenignSynthesis will further generalize, integrate, evaluate and where feasible simplify the methods developed, with the aim to come to an overarching Safe, Sustainable & Circular-by-Design approach for the Chemicals-Materials-Product continuum in which the life cycle of design, production, consumption and waste is accounted for.

The program group Developmental Psychology of the Faculty Social and Behavioural Sciences is looking for a Postdoctoral Researcher who is interested in improving treatment for youth with anxiety and stress-related disorders and wants to work in an international team.

Join the dynamic and innovative team at the Noël Research Group, where we focus on pioneering catalytic strategies and cutting-edge technologies for chemical synthesis. Our mission is to develop novel tools that address challenges across various specialty applications, including organic synthesis, chemical biology, and material science. By bridging the gap between chemical engineering and organic synthetic chemistry, we tackle longstanding issues such as scalability, gas-liquid reactions, photochemistry, electrochemistry, and the handling of hazardous reagents. Through our work, we expand the chemical space by harnessing overlooked and underutilized reagents, driving forward impactful advancements in the field. Join us in shaping the future of chemistry and making a difference in the scientific community.

Are you a highly motivated physicist interested in a postdoctoral research position at the intersection between nanophotonics and 2D material science? The 2D Nanophotonics group within the Institute of Physics has an open position for the project “Excitonic 2D metasurfaces for active multifunctional flat optics”. The aim is to employ exciton resonances in monolayer 2D semiconductors to actively tune the optical response of metasurfaces.

Optical metasurfaces offer ultra-flat and compact alternatives to conventional bulky optical elements like mirrors, lenses, and prisms. By accurate engineering of the resonant light-matter interaction of arrays of nanostructures, light can be scattered in a controlled fashion to perform an optical function. While such optical metasurfaces are nowadays highly efficient and well established, their optical function is typically static.

In this (3 year-) project you will study the strong light-matter interactions of stable excitons in monolayer 2D semiconductor material and couple these materials to resonant metasurfaces. Using their combination, you will investigate the unique properties of these 2D quantum materials and use them to develop multifunctional and atomically thin optical elements with an electrically tunable optical function. You will be joining an exciting team of researchers with a strong emphasis on collaboration. We expect you to be an active member of the research group, and a driving force in this project

The Postdoc will be working on a subproject within the ERC Starting Grant research project “Moonlighting: Understanding the quality and consequences of working multiple jobs  [MOONLIGHT]”, funded by the European Research Council (ERC) for the period 2024-2029, and directed by Dr. Wieteke Conen (Senior Researcher at AIAS-HSI/ University of Amsterdam).

The Complex Cyber Infrastructure (CCI) research group at the University of Amsterdam conducts research in the area of complex infrastructure services provisioning including cloud resource, optical and hybrid networking for high performance and data intensive application (also referred to as Big Data). CCI research also include Big Data architecture, trusted data exchange and federated infrastructure services, network and application security, microservices and programmable networks for the Future Internet and Internet of Things (IoT). The CCI group is involved in a number of national and EU funded project contributing to the development of the novel concepts in the area of new and emerging technologies.

The CCI group is looking for a Postdoc Researcher to work on the EU funded project GreenDIGIT that will address the challenges of achieving sustainability and reduced environmental impact of the current and future European Research Infrastructures (RI) by addressing a complex of tasks to reduce carbon footprint and environmental impact in the continuum of resources (IoT, Far-Edge, Edge, Cloud), supporting the whole research and data lifecycle. The CCI will focus on developing sustainable architecture that will be instrumental in optimising the efficiency of scientific workflows and algorithms running within the RIs, optimise the management configuration, and the overall performance, while reducing energy consumption. Special attention will be given to the experimental research automation and data management infrastructure, interoperability with EOSC and international testbeds.