14 Fully Funded PhD Programs at Radboud University, Netherlands

  • Reading time:16 mins read

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Radboud University, Netherlands inviting application for funded PhD Programs or fully funded PhD Scholarship. Radboud University is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

Radboud University has huge a campus in Netherlands and widely known as for its contribution in top notch education and research. The contribution of Radboud University is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. Four PhD Positions at the Radboud Institute for Culture & History (RICH)

Summary of Doctoral Project:

Unravelling the complexities of Europe in an ever-changing world requires an understanding of the past and the present. Would you like to research how texts, ideas, and cultural objects migrate across time and place and inquire into their roles in new contexts? Then you have a part to play as a PhD Candidate at the Radboud Institute for Culture & History. As a PhD candidate you will write a PhD thesis, participate in the Graduate School for the Humanities, which includes taking courses for approximately six months, and provide six months of academic service to the Faculty of Arts at Radboud University. Your thesis topic and research question should align with the research of RICH, where this position is embedded.

Last Application Date: 15 September 2022

View Details & Apply

 

2. PhD Candidate: Rebel-to-State Transition in Civil War

Summary of Doctoral Project:

The project aims to study the role of commanders in civil war and post-civil war settlements through the lens of rebel-to-state transition. The PI will investigate rebel-to-state transition in the context of Afghanistan, which provides a unique look at Islamist rebel victory. As a PhD candidate, you will conduct a small (n = 3-4), qualitative, comparative analysis of rebel -to-state transition by non-Islamist groups. The cases to be investigated will be determined, in cooperation between you and the PI, based on similarities and differences between them. Cases that will be considered include the Rwandan Patriotic Front (RPF) in Rwanda, the Sudan People’s Liberation Army (SPLA) in South Sudan, the Sandinista National Liberation Front (SNLF) in Nicaragua, the National Patriotic Liberation Front (NPF) in Liberia, or the Kosovo Liberation Army (KLA) in Kosovo. Focusing on non-Islamist rebel victories will also allow the team (you, the PI and, later on, a postdoctoral researcher) to leverage the ideological (in particular Islamist) variable, and measure its impact on state-building outcomes (as compared to other variables and other ideologies).

Last Application Date: 30 September 2022

View Details & Apply

 

Looking For More Fully Funded PhD Programs? Click Here

3. PhD Candidate for Responsible Innovation: Developing New Products through Privacy by Design

Summary of Doctoral Project:

Are you an aspiring researcher with a keen interest in innovation and technology management? Would you like to assist organisations by developing best practices for better addressing privacy issues in innovation with your research? Then you have a part to play as a PhD candidate. Through this research project, you will help institutions and their stakeholders to better respect privacy in new products and services. The Department of Business Administration at the Nijmegen School of Management and iHub are looking for a PhD candidate on responsible innovation, in particular on privacy by design patterns. As a PhD candidate, you will be formally based in the Marketing group and at iHub, which is Radboud University’s interdisciplinary research hub on digitalisation and society. You will work on a PhD project under the supervision of Dr Vera Blazevic, Dr Robert Kok, and Dr Jaap-Henk Hoepman.

Last Application Date: 30 September 2022

View Details & Apply

 

4. PhD Candidate: Environmental Microbiology & Biogeochemistry

Summary of Doctoral Project:

As an aspiring researcher, would you like to contribute to understanding the key role that microorganisms play in controlling Earth’s biogeochemistry? As a PhD candidate, you will further explore the critical role of sharp redox transitions in marine environments for the removal of toxic ammonium and greenhouse gas methane. An interdisciplinary project, with far-reaching implications for a wide range of research fields. Coastal ecosystems are of vital importance to mankind. Due to increased nutrient loads, and climate change these ecosystems experience frequent seasonal hypoxia leading to release of greenhouse gases. In the ERC Synergy project MARIX, we focus on the discovery of new microbial and geochemical pathways for the removal of methane and ammonium. In this ERC project, we are exploring the redox reactions, microbial players and key controls that explain this removal. The MARIX project combines sea-based fieldwork with laboratory experiments and reactive transport modelling.

Last Application Date: 14 September 2022

View Details & Apply

 

5. PhD Candidate: Graph Neural Networks for Electricity and Gas Networks

Summary of Doctoral Project:

Are you interested in machine learning and how it can be used to make energy systems more sustainable and reliable? Do you want to work on state-of-the-art algorithms and apply them to real-world problems? Then join us as a PhD candidate working on graph neural networks for electricity and gas networks. As the number of energy sources constantly increases and the goal of pursuing sustainable energy is as important as ever, making predictions in this domain becomes more challenging. As a PhD candidate, you will work on developing and applying machine learning algorithms, in particular Graph Neural Networks (GNNs), to electricity and gas networks and related data generated within Alliander. By working on the state-of-the-art machine learning and AI methods in a multidisciplinary environment, you will help to make energy systems more sustainable and reliable.

Last Application Date: 14 September 2022

View Details & Apply

 

How to Write Cover Letter for PhD Program?

6. PhD Candidate in Physical Chemistry and for Understanding Symbiosis between Synthetic Cells

Summary of Doctoral Project:

How life emerged from mixtures of molecules remains one of the great scientific mysteries. Exchange of functional molecules must have played a central role. As a PhD candidate, you will develop different primitive cells and study how they interact, exchange pieces of genetic material and work together, to understand how complex living cells could have evolved. Are you curious about how life could have started on our planet? Are you fascinated by bioinspired artificial cells built from simple chemicals? Are you interested in the chemistry of self-organisation, self-replication and communication? As a PhD candidate, you will aim to understand how functional primitive cells in the form of coacervates and liposomes interact with one another and host key biochemical processes, such as RNA replication and catalysis. The ultimate goal is to develop a method to transfer pieces of genetic material from one primitive cell to another to enable their growth, replication and evolution.

Last Application Date: 31 August 2022

View Details & Apply

 

7. PhD Candidate for Knowledge Enriched Conversational AI

Summary of Doctoral Project:

The project is funded by an NWO Dutch Research Agenda grant awarded to a consortium consisting of the University of Amsterdam, Leiden University, the University of Groningen, Amsterdam University of Applied Sciences, Radboud University, Achmea, Albert Heijn, Bol.com, KPN, Rasa Technologies, Ahold Delhaize, and the Dutch national police force. The aim of this PhD project is to make efficient use of existing knowledge for developing conversational agents under data scarcity conditions. Conversational agents require large amount of training data to handle complex user requests about objects or abstract concepts. Structured information that is stored in knowledge graphs can be used to enrich data-hungry conversational models. In this project, you will inject information from knowledge graphs into transformer-based models and generate knowledge-enriched conversational agents, without requiring large amount of unstructured training data.

Last Application Date: 01 October 2022

View Details & Apply

 

8. PhD Candidate for Data Augmentation for Conversational AI

Summary of Doctoral Project:

The project is funded by an NWO Dutch Research Agenda grant awarded to a consortium consisting of the University of Amsterdam, Leiden University, the University of Groningen, Amsterdam University of Applied Sciences, Radboud University, Achmea, Albert Heijn, Bol.com, KPN, Rasa Technologies, Ahold Delhaize, and the Dutch national police force. The aim of this PhD project is to generate synthetic data for training conversational agents. One of the limitations of developing models for conversational agents is the availability and cost of labelled training data. A common approach to alleviate this need is to increase the amount of training data by data augmentation. In this project, you will use knowledge graphs (e.g. Wikipedia) to develop methods that generate question-answer pairs that form coherent conversations.

Last Application Date: 01 October 2022

View Details & Apply

 

9. PhD Candidate in Cellular Neuroscience

Summary of Doctoral Project:

Are you an aspiring scientist with a biology- or neuroscience-related Master’s degree? And would you like to delve into how synapses are formed, function and can be maintained? Help us understand the molecular events that underlie these processes as a PhD candidate. In our lively and internationally friendly environment, you can learn new skills and broaden your expertise. At the Kuijpers lab, we are fascinated by how synapses are formed, function and can be maintained. Our main interest is to understand the molecular events that underlie these processes, particularly the contribution of synaptic organelles. Using rodent and human neuron cultures as primary model systems, we combine optical imaging techniques and biochemistry to approach cell biological questions from multiple angles.

Last Application Date: 01 September 2022

View Details & Apply

 

10. PhD Candidate: Ethnographic Research on the Techno-Securitisation of Nature Conservation in Kenya and East Africa

Summary of Doctoral Project:

In this project you will unpack such phenomena. You will study how differences between – for instance – legitimate hunters and poachers, or between those who have access to natural resources and those who do not are made in practice, and beyond formal and legal rights and definitions. You will interrogate how these practices contribute to processes of political subjectification and explore the socio-political processes through which spaces of wildlife and biodiversity become places of inequalities and securitised inclusions and exclusions; and how they bring to the fore ongoing neo-colonial relations between different countries and between different groups of people within the same country.

Last Application Date: 18 September 2022

View Details & Apply

 

How to Write Motivation Letter for PhD Program?

11. PhD Candidate in Modelling and Attributing Land Use Emissions to Agricultural Commodities

Summary of Doctoral Project:

Are you interested in the factors that contribute to climate change? And do you wish to generate new insights on how agriculture contributes to the emission of greenhouse gases? At the Radboud Institute of Biological and Environmental Sciences, you conduct your research on land use emissions whilst working in a diverse and international team that helps you unleash your potential. As a PhD candidate you will work on greenhouse gas emissions from land use and land use change. You will model historical and projected future land use emissions, and then assess how they can be attributed to agricultural commodities in space and time in order to determine emission footprints of agricultural commodities. To better understand what drives these footprints, you will conduct sensitivity and uncertainty analyses, and also evaluate emission reduction strategies.

Last Application Date: 07 September 2022

View Details & Apply

Spread the love

Leave a Reply