PhD Nest

23 PhD Positions Fully Funded at University of Amsterdam, Netherlands

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University of Amsterdam, Netherlands invites online Application for number of   PhD Positions at various Departments. We are providing a list of Fully Funded PhD Positions available at University of Amsterdam, Netherlands.

Eligible candidate may Apply as soon as possible.


(01) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Infrastructural Ideologies in the EU, Russia, and China

You will write a PhD thesis under the supervision of Dr. Niels ten Oever. You will use advanced qualitative and quantitative research methods to interrogate the geopolitics that play out in the reordering of material communication infrastructures of China, Russia, and the European Union.

Transnational communication networks have existed since 1865, but at the beginning of inter-state conflicts submarine cables would be cut. Currently, internet cables circle the globe and China, Russia, and the European Union are interconnected through the internet. Neither the war in Ukraine nor tensions between the US and China have changed that. This research will examine how the EU, China, and Russia seek to inscribe their norms and values by shaping informational flows and controls in their respective communication networks while maintaining interconnectivity with other networks. The research analyses the target countries’ policy-industry-research-implementation pipeline, to understand how their information networks take shape.

Deadline : 10 May 2024

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(02) PhD Position – Fully Funded

PhD position summary/title:–Four PhD Positions in AI, Digital Humanities, and Cultural Heritage

You are an ambitious PhD student working on one of the four projects: 

Project 1LLMs for Cultural Heritage Access

Your focus will be on large language models for information access. How can we search specific collections, including full text, metadata, and multimodal content? How can we support complex search tasks and practices, such as scholarly research on cultural data, and the research and workflow of investigative journalism?

Supervisors: Jaap Kamps (ILLC)

Project 2: XAI from Artificial Intelligence to Digital Humanities

Your focus will be on applying AI explainability (XAI) in digital humanities and examine its value for the analysis of cultural-historical collections. How can we aggregate evidence in order to explain AI decisions but also how do AI models use evidence and uncertainty? How do we need to modify current XAI to meet the needs of humanities research? 

Supervisors: Tobias Blanke (ILLC), Jaap Kamps (ILLC)

Project 3: XAI from Digital Humanities to Artificial Intelligence

Project 3 is complementary to project 2 but focuses on XAI from a historical-cultural perspective to analyse changes to humanities practices and epistemologies. How can we aggregate evidence to explain (past) human decisions and what are the limitations of current XAI techniques to do so? What are the cultural and theoretical conditions of XAI to explain historical materials? 

Supervisors: Tobias Blanke (ILLC), Julia Noordegraaf (AHM)

Project 4: Constructing Polyvocal Cultural Heritage Narratives

Your focus will be on “polyvocality,” the current movement towards the inclusion of multiple perspectives in and on cultural heritage collections. Can we obtain reliable data to capture perspectives of different stakeholders and the relationships between them? What theoretical framework do we use to define perspectives and their relations with the underlying data sources (i.e., who created the data: experts? citizens? AI?). What perspectives are missing?

Deadline : 15 May 2024

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(03) PhD Position – Fully Funded

PhD position summary/title:–PhD on Digital Twin in Healthcare for Brain Perfusion and Metabolism

Building upon earlier computational models for brain perfusion, metabolism, and infarction, you will develop a high-fidelity Digital Twin, that will become a generic modelling and simulation platform to study (patho)physiology of brain perfusion and related processes (metabolism, infarction, oedema, bleeding in the brain, vasospasm, etc.). The Digital Twin will be validated against clinical data, and credibility assessments will be performed. Finally, in collaboration with (clinical) partners, the Digital Twin will be applied to contribute to decision support tools in preventing or treating strokes.

Deadline : 17 June 2024

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(04) PhD Position – Fully Funded

PhD position summary/title:–PhD in Computational Chemistry

PRONTO (PROperty prediction by Network TOpology modelling of polymer films) is a 3-PhD project concerning ‘drying’  of paints or coating solutions, a solidification process where multifunctional monomers in the liquid polymerize into a polymer network: a single large molecule spanning the entire volume. Rates of reactions and diffusion define the network formation, but are dramatically influenced by the density of the growing network. To address this complexity, the PRONTO researchers will develop multiscale computational models connecting atomic-level molecular simulations, mesoscopic reaction kinetics and network modelling, and macroscopic continuum modelling. PRONTO is a collaboration between Universiteit van Amsterdam, Utrecht University, Canon Production Printing (Venlo), AkzoNobel Performance Coatings (Sassenheim), Reden (Engineering and simulation, Hengelo OV) and the Rijksmuseum in Amsterdam. The project is financed by NWO and Canon.

Deadline : 30.06.2024

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(05) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Emergent Dynamical Steady States of Active Polymer-Like Matter

Are you a highly motivated student with a strong interest in statistical mechanics and soft active matter? The group of Dr. Sara Jabbari Farouji at the Institute of Theoretical Physics and part of Computational Soft Matter Lab is seeking an excellent and ambitious PhD candidate to carry out interdisciplinary research on emergent collective dynamics of active polymer-like matter which combines analytical and computational methods.

Active matter is a young field of research which aims at understanding collective properties of non-equilibrium systems made of self-driven constituents; e.g. bird flocks or bacterial swarms in terms of interplay between self-drive and interactions. It has been found that some aspects of collective behavior can indeed be captured by models based on a minimal set of interaction rules, which is now at the heart of the research area of active matter.

Deadline : 31 May 2024

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(06) PhD Position – Fully Funded

PhD position summary/title:–PhD Candidate in Experimental Physics: 2D Material Detectors

The PhD project in which you will be participating aims to leverage the unique properties of 2D materials and their heterostructures for making ultrahigh-gain, ultralow-noise detectors for applications in high-energy physics. Recently, novel 2D material devices have been developed based on heterostructures of semiconducting 2D monolayers such as transition metal dicalchogenides (TMDSs). Similar to traditional Si and GaAs photodetectors, 2D material detectors can be built with internal amplification to produce avalanche photodiodes, while offering unique advantages in terms of low noise and high gain. In collaboration with the Institute for High-Energy Physics, we will investigate the potential of these novel 2D material devices to open up new realms in the detection of dark matter, particles and gravitational waves.

Deadline : 31 May 2024

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(07) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Computational Metabolic Modelling of the Infant Gut and Oral Microbiome

You will be working in the Evolutionary Systems Biology team of dr. Meike Wortel. The team focusses on developing mathematical and computational techniques to include the environment, including other species, in the analysis of evolutionary trajectories and apply this to antibiotic resistance evolution and microbial communities. To achieve this, the team combines evolutionary approaches with systems biology, that links the intricate networks that make up cells to their overserved behavior at the cell level. The team is embedded in the Microbiology Cluster and affiliated with interdisciplinary collaborations in Systems Biology and research on Origin and Evolution of Life and Emergence. The team uses ongoing collaborations to link theory directly to experimental systems.

Deadline : 01.06.2024

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(08) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Gut Microbiome in Early Life

You will study the interactions among maternal factors, infant gut microbiota, and intestinal health aimed at understanding the underlying mechanisms. With our unique Gut on a chip physiomimetic GUMI platform and ‘omics’ analytical facilities, you will characterize the metabolic function of infant gut microbes under conditions that are relevant to  clinical observations. 

Using synthetic microbial communities, organoids, and gut-microbe coculture models, you will investigate the influence of maternal factors on the gut microbiota’s metabolic functions and how these functional changes modulate gut epithelium and immune function in early life, with a particular focus on metabolic function and naïve T cell maturation. You are expected to identify bacterial species, metabolites, or genes that are key in mediating mother-microbiota-infant interactions. 

Deadline : 01.06.2024

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(09) PhD Position – Fully Funded

PhD position summary/title:–2 PhD Positions on Political Trust and Political Skepticism

The first of the two open PhD-project focuses on understanding and explaining (perceived) trends in political trust. First, it will develop and extend a new quantitative methodological approach that allows us to assess to what extent short- and long-term macro-level trends in political trust are prudent or excessive, based on residuals to explanatory models. Systematic quantitative analysis of the residuals allows us to identify countries that systematically over- or underperform in comparison to the explanatory model; in-depth qualitative analyses of these cases then function as starting points for theory development. Second, this project aims to assess the origins of the common perception of a decline in political trust. To that purpose it will determine and explain the incongruence between actual changes in political trust and the retrospective perceptions of these changes. This project will rely on secondary (cross-national) survey data, self-collected panel survey data, and a self-designed survey or lab experiment.

The second PhD-project aims to integrate two rivaling theories that explain political trust, namely the socialization theory  (people are socialized to trust) and the evaluative theory (trust is an evaluation of the object). This project will shed new light on the way people are socialized to (dis)trust. It will focus on three groups: adolescents, cohorts, and immigrants. This project will rely on primary and secondary survey data, and holds the option for the PhD candidate to design a survey experiment. Panel data will be studied with longitudinal methods; cross-national data via (cross-classified) multilevel models.

Deadline : 24 May 2024

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(10) PhD Position – Fully Funded

PhD position summary/title:–PhD on AI-Enhanced Time-Critical Computing and Adaptation for Distributed Data-Centric Applications

We seek a Ph.D. student on the subject of ‘AI-enhanced time-critical computing and adaptation for distributed data-centric applications.’ The candidate will tackle the computing challenges in the use cases of digital twins, essential climate valuable workflows, and large-scale big data pipelines provided by research communities of environmental and earth sciences through ongoing projects LTER-LIFE, ENVRI-HUB next, and EVERSE. The candidate will research and develop AI-enhanced advanced algorithms for enabling quality critical applications, e.g., digital twins, on heteronomous computing infrastructure (e.g., from edge to hybrid and federated cloud environments), focusing on scheduling, optimization, performance diagnosis, and adaptation challenges of the application lifecycle from composition, deployment to runtime adaptation. The candidate will be encouraged to try state-of-the-art AI approaches to design the algorithms and obtain explainable findings.

Deadline : 31 May 2024.

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(11) PhD Position – Fully Funded

PhD position summary/title:–PhD on EdgeAI with a Focus on Transformer Models for Resource-Constrained Devices

The Informatics Institute is looking for an ambitious PhD candidate. Your research will part of the PCS group ( In this role, you will delve into the cutting-edge field of Edge Artificial Intelligence (EdgeAI), focusing specifically on the optimization and implementation of transformer models on resource-constrained devices. This research aims to discover and implement creative methods to enhance the function, deployment, and operation of transformer models in environments constrained by processing power, memory, and energy availability. Your contributions will be pivotal in advancing AI technologies, making them more available and efficient, and paving the way for smarter, streamlined applications designed for the very edge of technological capability.

Are you eager to challenge the limits of AI, enabling it to function in places where traditional computers fall short? Have you ever dreamed of being at the forefront of technology that transforms how AI is intertwined into everyday gadgets like smartphones and IoT devices? This PhD position offers the chance to not only push technological boundaries but also to be part of pioneering research that integrates deep learning into our daily devices, enhancing how we live and interact with technology. If you’re passionate about making a significant impact and driving innovation in AI, we invite you to apply for this position.

Deadline : 31 May 2024

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(12) PhD Position – Fully Funded

PhD position summary/title:–PhD Project: Generation AI: Addressing Misinformation Challenges in the Generative AI Era

Generative AI poses a significant threat to our media and communication landscape by facilitating the widespread creation and dissemination of synthetic content at minimal cost. Of particular concern are young individuals, who are disproportionately affected by the opportunities and challenges presented in this digital realm. Their heavy reliance on social platforms, which increasingly incorporate generative AI tools, increases the likelihood that they are exposed to generative AI in their daily life. Moreover, they are still developing the critical thinking skills needed for resilience in this space, leaving them particularly vulnerable to the creation, sharing, and ill-effects of misinformation. Despite this susceptibility, research on misinformation has largely overlooked the experiences of youth, while at the same time, the understanding of generative AI remains in its infancy. To address this gap, this project aims to: (1) investigate how adolescents (aged 13-17) perceive and navigate (the risks and benefits of) generative AI within the context of misinformation; (2) identify indicators of adolescents’ susceptibility to the negative impacts of AI-generated misinformation; and (3) co-create and experimentally evaluate a generative AI competency intervention designed with, and specifically for, adolescents. In doing so, Project Generation AI will shed light on the perceptions and experiences of generative AI among adolescents, a demographic often overlooked; will provide insight into which adolescents are more susceptible (and which are more resilient) to the adverse effects of AI-generated misinformation; and lastly, delivers a scalable intervention designed to bolster the resilience of susceptible adolescents against AI-generated misinformation.  

Deadline : 16 May 2024

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(13) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Literary Studies: Re-Imagining Water in the Neerlandophone Space

You will work on a research project of your own design within the project ‘How to Welcome the Water: Re-Imagining Our Life with Water through Marginalised Stories in the Neerlandophone Space.’ The project aims to open new perspectives for sustainable becomings with water by dismantling objectifying narratives of water in historical and present-day water management. It seeks to envisage alternatives to the age-old Dutch narrative of the ‘battle against the water’, which precludes a sustainable coexistence between humans and water. Hypothesising that Dutch narratives of water as the ecological Other hark back to colonial notions of toleration and integration, this project aims to confront dominant narratives about water with marginalised stories of living and becoming with water in the neerlandophone space at large, using ecocritical and decolonial theory.

Deadline : 01 June 2024.

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(14) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Evolutionary Biology

Are you interested in how species persist and evolve in changing environments? Are you excited about studying evolution in action? Are you enthusiastic about combining experimental laboratory work with evolutionary modeling and genomics? Then this may be the job for you!

We are looking for an enthusiastic PhD candidate to study the consequences of hybridization and test the idea that hybridization between species generates potential to adapt to environmental change. You will be embedded in a research team investigating speciation and adaptation using wood ants and spider mites (led by Dr. Jonna Kulmuni) at the department of Evolutionary and Population Biology, which is part of the Institute for Biodiversity and Ecosystem Dynamics (IBED) and the Faculty of Science at the University of Amsterdam.

Deadline : 26 May 2024

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(15) PhD Position – Fully Funded

PhD position summary/title:–PhD Job in the Future of Work and Work Motivation

Technological innovations – particularly those in artificial intelligence – change the nature of work rapidly and transform the design of work. Some jobs may disappear, some new ones may arise, and some jobs will be augmented through close cooperation with new technology.

Are you interested in studying the effect of technological innovations on jobs? In this project, we will focus on how jobs are changing, and what the changes in work design imply for employees’ work motivation, the meaning of work, performance, and well-being. We will take a psychological perspective, investigating the experiences of change and stability by those who are working in changing environments. The project aims to provide more insight into the implications of technology innovation for theory in work motivation as well as for work design and the management of work, by both humans and artificial intelligence.

Deadline : 15 May 2024

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(16) PhD Position – Fully Funded

PhD position summary/title:–PhD Position in Improving Machine Learning Methods for Contingent Claim Pricing and Hedging

The project will focus on, but will not necessarily be limited to, a promising relatively new mathematical characterization of uncertainty in financial time series (using the sequences of iterated integrals known as signatures) and a particular application for which classical modelling tools seem particularly hard to apply (the infinite-dimensional structure in forward prices for energy markets). We expect that insights for this particular theoretical method and practical problem may also help to design improvements for other applications of machine learning in the financial context, such as the generation of stochastic scenarios used in risk management for insurance companies and trading strategies that use derivatives to hedge payoffs of other exotic derivatives (such as forward prices in energy markets and) regime switching in stochastic modelling of asset prices.

Deadline : 7 June 2024

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(17) PhD Position – Fully Funded

PhD position summary/title:–PhD Project “How Urban Greening Initiatives Shape Children’s Environmental Attitudes and Behaviour”

Cities play an important role when it comes to sustainability. That is, more than half of the world’s population lives in urban areas, and this is projected to only increase further. Furthermore, cities might be both the root cause for environmental problems, and at the same time might provide solutions for alleviating environmental problems and their consequences. Therefore, cities constitute an important context when investigating how to address environmental problems such as climate change, biodiversity loss, and plastic solution.

Research has shown that urban greening initiatives might positively affect pro-environmental attitudes and behaviours. One target group that is crucial in this regard, but at the same time understudied, are children. Adopted pro-environmental attitudes and behaviours during childhood are likely to a last in adulthood, children impact household decisions and their parents’ beliefs, they might have a positive influence on their peers, and they are the next generation who will face the most detrimental environmental problems. Therefore, we specifically focus on how cities might function as an educational toolbox. That is, urban greening initiatives (e.g., tree planting days, school gardens, green play areas, garbage picking etc.) provide an opportunity for kids to get into contact with (urban) nature and as such to learn about the environment. The current project therefore focuses on how such greening initiatives help in shaping children’s pro-environmental attitudes and behaviours by increasing their contact with urban nature.

Deadline : 15 May 2024

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(18) PhD Position – Fully Funded

PhD position summary/title:–PhD Cognitive Neuroscience: “The Influence of Predictions on the Mechanisms of Conscious Perception”

Humans are not passive receivers of information. Instead, our brain continuously aims to predict the best interpretation of noisy sensory input it receives. How do these predictions shape conscious experience? The aim of this project is to elucidate how expectations modulate the threshold to consciousness and to reveal the computational and neural mechanisms of such expectation-driven effects on consciousness. Novel psychophysical designs involving perceptual illusions will be used to experimentally induce sensory- and action-based expectations. Signal detection theoretic analyses and drift diffusion modelling will reveal the level of processing at which prediction effects unfold, for example distinguishing between effects on decision-related vs. truly perceptual processes. EEG and fMRI will be used, in combination with machine learning and other AI tools, to measure the effects of predictions on neural processes indicative of distinct forms of neural processing in the human brain (e.g., feedforward, feedback). 

Deadline : 20 May 2024

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(19) PhD Position – Fully Funded

PhD position summary/title:–PhD Position for the Project: Are We Too Concerned About Misinformation?

This PhD project is part of this initiative and will specifically address how people form risk perceptions regarding misinformation that are potentially incorrect. In the battle against misinformation, we are frequently warned for being misled by false information. Accordingly, audiences perceive misinformation as an omnipresent threat and report difficulties in distinguishing fake from real news. However, recent empirical research highlights that misinformation comprises only a very small proportion of people’s news diets. Thus, audiences’ perceptions of the threat of misinformation might, at times, be disproportionate to the risk of being deceived or misinformed. The main aim of this PhD project is to explore the causes of the discrepancy between perceived misinformation salience on the one hand and the low observed misinformation exposure on the other hand. We aim to map (i) the signals on which citizens base their potential worries for misinformation, (ii) threat frames used in political elite communication, journalism, and on social media, and (iii) how more accurate misinformation perceptions can be stimulated.

Deadline : 20 May 2024

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(20) PhD Position – Fully Funded

PhD position summary/title:–PhD Position for the Project: Organizations and Misinformation: The Role of Trust and Corrections

Misinformation and disinformation are widely seen as big societal threats, both in the Netherlands and beyond. These threats call for more research and for new solutions to make citizens and societal groups more resilient against mis- and disinformation. This is why the Department of Communication Science at the University of Amsterdam has launched a new initiative focusing on the causes, content, consequences, and counterstrategies against mis- and disinformation in our digital society. This PhD project is part of this initiative and will specifically address the roles of trust and corrections in relation to organizations and misinformation. 

Misinformation has been linked to eroding trust in institutions and governments, posing challenges to societal cohesion and organizational performance. The proposed project aims to explore the relationship between misinformation and organizational trust. Specifically, the project aims to address two overarching objectives: (1) examining the impact of misinformation on institutional trust and (2) identifying strategies organizations can employ to enhance trust amidst misinformation in society. To address these objectives, the project will conduct a four-study multi-method research project. Thereby, this project aims to provide novel insights into the interplay between misinformation and organizational trust, offering practical implications for enhancing trust in a society characterized by information challenges.

Deadline : 22 May 2024

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(21) PhD Position – Fully Funded

PhD position summary/title:–PhD Candidate in Theoretical Ecology

We are looking for an enthusiastic and highly motivated PhD-candidate who is eager to study the ecological consequences of sexual size dimorphism using mathematical models. You will be embedded in the Theoretical and Computational Ecology department, which is part of the Institute for Biodiversity and Ecosystem Dynamics (IBED) at the Faculty of Science at the University of Amsterdam.

In the animal kingdom, we commonly see species where one sex is larger than the other – a phenomenon called sexual size dimorphism. Despite remarkable differences between the sexes, these are not present early in life for most species. Because many differences between the sexes arise during an individual’s development, the ecological conditions experienced early in life influence the expression of sexual dimorphism later in life. To understand the ecological consequences of sexual size dimorphism, we need to know how early-life growth and development shape differences between the sexes.

Deadline : 15 May 2024

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(22) PhD Position – Fully Funded

PhD position summary/title:–Phd Position in Multiscale Modelling of Endothelial Cell Monolayers in Health and Disease

The Computational Science Lab (CSL) within in the Informatics Institute is offering a PhD position focusing on multiscale modelling of Endothelial Cell (EC) monolayers in the microvasculature, coupling molecular models of intracellular signalling to cell-level models of spatially resolved signalling, and finally to coupling many of such single cell-level models together in a multicellular EC monolayer. The goal is to study specific pathways (based on RhoA and RhoB GTPases) and their impact on EC monolayer integrity. You will study differential pathways that drive fast and transient (RhoA-mediated), or slow and persistent (RhoB-mediated) loss of endothelial integrity. You will merge in silico modelling with in-vitro experiments carried out in close collaboration with another PhD student in this joint project to address bistability and hysteresis in the differential RhoA/B-dependent control of microvascular leak. You will study cell-to-cell variability in responses to activating stimuli and address the switch from acute to chronic EC activation.

Deadline : 10 June 2024

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(23) PhD Position – Fully Funded

PhD position summary/title:–PhD in Marketing

The PhD position is a full-time position for a period of four years, salary is in accordance with fixed salaries prescribed by the Dutch labor agreements for universities. The first year will consist of PhD-level coursework, after that the candidate will start working on his or her own research agenda under the supervision of the supervisors. Jonne Guyt and Bernadette van Ewijk will be leading the supervisory team.

Deadline : 24 May 2024

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About University of Amsterdam, Netherlands  –Official Website

The University of Amsterdam is a public research university located in Amsterdam, Netherlands. The UvA is one of two large, publicly funded research universities in the city, the other being the Vrije Universiteit Amsterdam (VU). Established in 1632 by municipal authorities and later renamed for the city of Amsterdam, the University of Amsterdam is the third-oldest university in the Netherlands. It is one of the largest research universities in Europe with 31,186 students, 4,794 staff, 1,340 PhD students and an annual budget of €600 million. It is the largest university in the Netherlands by enrollment. The main campus is located in central Amsterdam, with a few faculties located in adjacent boroughs. The university is organised into seven faculties: Humanities, Social and Behavioural Sciences, Economics and Business, Science, Law, Medicine, Dentistry.



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