Radboud University, Nijmegen, Netherlands invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Radboud University, Nijmegen, Netherlands .
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate for Gas-phase Contamination Detection in Real-life Applications: Combining Spectroscopy and Spectrometry
Are you an enthusiastic young scientist who likes to work with and/or develop new instruments in the laboratory? And do you hold a Master’s degree in physics (photonics), engineering (electrical) or related fields? Would you like to be involved in research and development to find the best methods for detecting gas phase contaminations in novel/demanding applications such as those used in the green hydrogen and semiconductor industry? If so, then you have a part to play as a PhD candidate in our research team. Put your ideas to the test at our green campus and push your boundaries in an internationally friendly environment. Detecting gas-phase contaminations is a fundamental and ever-growing field. Safety and efficiency of many real-life applications depend on the online monitoring of gas-phase contaminants. This PhD project aims at two of these important applications: I) contaminants in the storage and transfer of green hydrogen and II) contaminants in the semiconductor manufacturing processes. The most important gas-phase contaminant in these two applications and their concentration levels will be identified and well characterised with the help of leading national and international institutes and companies in the corresponding field. This involves measuring samples from these applications using existing laboratory instruments and/or developing new instruments (laser-based spectrometers). The final goal is to identify and/or develop the most efficient and cost-effective detection method for detecting each contaminant for the particular application. We are looking for a PhD candidate who is eager to conduct this applied research.
Deadline : 01 February 2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Contingency and Meaning for Trans People and their Relatives
Are you fascinated by the human search for meaning? Are you driven to deepen our understanding of experiences of contingency? And do you wish to gain a profound insight into the existential questions of trans people and their relatives? If so, then come and join this project as a PhD Candidate! You will study the search for meaning experienced by trans people and their relatives and its impact on experienced quality of life, thereby contributing to the provision of spiritual care for this group. ‘Trans people’ is used as an umbrella term for people whose gender identity, either binary or non-binary, does not correspond with their birth-assigned gender. You will perform and analyse in-depth interviews with trans people in different stages of their transition and with their relatives, acknowledging that transitions can be non-binary, heterogeneous or even reversed. You will investigate both personal and collective aspects of trans people’s search for meaning, aiming to advance theoretical insight into the experience of contingency induced by the incongruence between one’s experienced or expressed gender and assigned gender. Based on the results of your research, you will develop recommendations for the provision of spiritual care for trans people and their relatives. In your research, you will focus especially on the role of religion and spirituality. Although conservative religious traditions tend to criticise decisions and treatments regarding trans people, Christian and Jewish liturgy and rituals have been developed to celebrate gender transitions, and prayer and Quran recitation have been sources of resilience for transgender Muslims. The search for gender identity often co-occurs with the interpretation or re-interpretation of religion and spirituality, which can become sources of meaning and support.
Deadline : 07 January 2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Computational and Developmental Biology
The early mammalian embryo, or epiblast, is composed of pluripotent cells that can generate all specialised cell types of the body. The epiblast cell population is heterogeneous, showing stochastic differences in transcriptome and epigenome between cells that affect their differentiation potential. In this project, you will address how a system composed of intrinsically stochastic epiblast cells can show robust and deterministic fate decisions, utilising single-cell genomic/epigenomic datasets from in vitro developing mouse gastruloids that will be generated within the consortium. You will apply state-of-the-art genetic/epigenetic computational approaches, integrative -omics, cellular trajectory analysis, agent-based modelling and other types of predictive modelling, supported by our in-house computational biology unit. At the Molecular Biology department, you will be part of the Stem Cell group focusing on the unique regulatory mechanisms acting in embryonic stem cells (ESCs) to maintain their pluripotent state and prepare for gastrulation. More information on our research can be found in our recent publications in Nature Cell Biology (2022; PMID: 35697783), Cell Stem Cell (2019; PMID: 30472157), and Trends in Cell Biology (2019; PMID: 31178244), and online: Hendrik Marks. The project is embedded within an ambitious and interactive research environment, both in the department and in the NWO-ENW-XL consortium. There are ample opportunities for collaboration in and outside the Netherlands, including a long-term international research visit. As part of the PhD training, you will take part in our medical biology educational programme, assisting in one or two courses per year and supervise BSc and MSc students within the context of your project.
Deadline : 10 December 2023
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: ‘Empowerment of Patients and Doctors Using Data and AI’ at the Donders Centre for Cognition
This PhD project is part of the Radboud Healthy Data Programme. The use of AI in health data can lead to ethical, legal and societal concerns. You will focus on how the healthy data programme can empower personalised health decisions. You will analyse the connections between empowerment and self-determination, and how AI could influence the decision making of clinicians and patients, and select suitable instruments to measure actual and perceived changes in empowerment. You will investigate how AI and the improved exchange and frequent reuse of health data could empower doctors and patients, and affect their interaction. To this end, you will analyse how empowerment can be understood as increased self-determination. The challenge is to identify how and in what ways technology can support people, instead of , for example, making them overreliant on technology. You will examine ways in which AI (e.g. as decision support system) and data technology (and education regarding their use) could increase actual and perceived self-determination in making personalised health decisions. You will investigate, select and apply instruments for measuring empowerment changes in the context of health care. On the basis of this, you will contribute to the evaluation of how the healthy data project affects actual and perceived self-determination. You will work together with other PhD candidates, postdoctoral researchers and PIs of the HD programme, in particular with those involved in the work package on ethical, legal and societal challenges. Overall, you will investigate how the three main aspects of the HD programme (improving the organisation of data, addressing medical needs through AI methods, and education) contribute to a meaningful (subproject 1: Concepts) and clearly operationalised increase in empowerment, as expanded, perceived and actual self-determination (subproject 2: Aims). You will provide a framework for measurement of empowerment and self-determination in a health data context (subproject 3: Evaluation). Finally, you will provide feedback and recommendations to the community on how the healthy data programme could further support empowerment (subproject 4: Outreach).
Deadline :03 December 2023
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Interactive Causal Explanations for Patient-centric Personalised Health
Within our Personalised Care in Oncology (PersOn) consortium, we are looking for a talented PhD candidate to work on applying principled causal model inference to help patients make informed decisions about their preferred treatment alternatives. We will use modern explainability techniques, such as Causal Shapley values, to translate complex counterfactual predictions into patient-friendly, understandable information, allowing patients to explore the impact of different available treatments. Together with other PhD candidates and postdoctoral researchers in the consortium, you will help build an integrated causal model of the target oncological domain, and use that as a basis for answering interactive `what if’ questions tailored to characteristics and preferences of individual patients. You will work with causal model experts, as well as with researchers, healthcare practitioners, and stakeholders in explainable decision support. Your contribution to the project will be both foundational, advancing the state of the art in personalised causal inference, and applied, focusing on user requirements in terms of explanation and justification to help advance shared decision making about personalised healthcare. Given the interdisciplinary challenges associated with the project, you will participate in two research groups. Your home base will be the Data Science group in the Faculty of Science at Radboud University, focusing on causal modelling and individualised counterfactual inference. In addition, for one day a week, you will be part of the Microbiology and Systems Biology research group at TNO (see below), where part of the work focuses on explainable models that bring together knowledge and data for improvement of personal health. You will also collaborate closely with PhDs from other work packages in the PersOn project, responsible for the collection/elicitation of patient preferences and modelling specific medical knowledge use cases (see related vacancy ‘Designing patient-in-the-loop personalization of cancer treatment with AI’ on the project website). We will expect you to support both our groups’ research activities, and to help maintain a safe, inclusive and inspiring research environment for all our team members. If so desired, you will have the ability to develop your teaching skills (ca 10 %), helping yourself further qualify for a career as an independent academic researcher.
Deadline : 06 December 2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Physical Literacy in Developmental Coordination Disorder: The Key to an Active Life?
As a PhD candidate, you will initiate, develop and execute a number of studies. After reviewing the literature, you will construct a questionnaire to measure physical literacy. This questionnaire includes questions in retrospect, so you can disentangle the reasons behind the active behaviour of individuals with and without DCD. In addition, you will perform in-depth interviews and conduct a Delphi study. Finally, you will provide guidelines for a programme to promote physical activity. You will write scientific papers, resulting in the completion of a PhD thesis at the end of your employment contract. You will participate in supervision meetings as well as staff meetings. As participant in the BSI Graduate School PhD programme, you will be expected to complete several courses related to the professional skills of scientific researchers such as presentation skills and data management. We will also encourage you to attend and present your work at relevant conferences. You will have a 10% teaching load and the opportunity to work towards the University Teaching Qualification.
Deadline : 03 December 2023
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Promoting Physical Activity in Children Aged 2-6 Years
As a PhD candidate, you will initiate, develop and execute a number of studies. First, you will perform a systematic review of the existing literature. Second, you will conduct a longitudinal study to examine the development of motor skills, motivation and physical activity of children aged 2-6 years during the transition from preschool to primary school. Third, you will perform an analysis of the children’s close social network using questionnaires and interview studies. You will write scientific papers, resulting in the completion of a PhD thesis at the end of your employment contract. You will participate in supervision meetings as well as staff meetings of the Learning, Education and Development department and other relevant research meetings, such as those of the Active Living team. As a participant in the BSI Graduate School PhD programme, you will be expected to complete several courses related to the basic professional skills of scientific researchers such as presentation skills, scientific integrity and data management. We will also encourage you to attend and present your work at relevant workshops and conferences. You will have a 10% teaching load and the opportunity to work towards the U University Teaching Qualification.
Deadline : 03 December 2023
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Designing patient-in-the-loop personalization of cancer treatment with AI
Would you like to design interactive tools for cancer patients to personalize their treatment? Are you interested in AI-based clinical decision support systems as part of the Personalized Care in Oncology (PersOn) project? And do you enjoy working in multidisciplinary and international teams? Then join us as a PhD Candidate at the Behavioral Science Institute in collaboration with TNO. The Behavioural Science Institute at Radboud University and the Netherlands Organisation for Applied Scientific Research (TNO) seek a PhD candidate to join the PersOn project and collaborate with a team including artificial intelligence experts and healthcare experts. You will be the one to bring the patient perspective to the project, aiming to leverage data collection, reflection and personal preferences from modelling to treatment with the patient in the loop’ of the decision support system. Several PhD candidates at different universities in the Netherlands will collaborate in this project. Although they will work on related but different subprojects, a close collaboration between them is necessary for successful completion of the project.
Deadline : 30 November 2023
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate: Digital Skills and Refugee Integration
As a PhD candidate, you will interview and collect data from immigrant women, conduct systematic literature reviews and get acquainted with relevant organisations involved in the research. The tasks will consist of developing a map identifying the challenges refugee women face when seeking employment and education, analysing data through interviews and workshops to identify patterns, themes and trends related to the role of digital skills in integration. Further, the candidate will collaborate with stakeholders and experts, as well as with the women themselves, to develop capacity-building interventions to empower refugee women with digital skills, contributing to their integration and active participation in society.
Deadline :27 November 2023
About Radboud University, Nijmegen, Netherlands –Official Website
Radboud University is a public research university located in Nijmegen, Netherlands. The university bears the name of Saint Radboud, a 9th century Dutch bishop who was known for his intellect and support of the underprivileged.
Established in 1923, Radboud University has consistently been included in the top 150 of universities in the world by four major university ranking tables. As of 2020, it ranks 105th in the Shanghai Academic Ranking of World Universities. Internationally, RU is known for its strong research output. In 2019, 447 PhD degrees were awarded, and 7.571 scientific articles were published. To bolster the international exchange of academic knowledge, Radboud University joined the Guild of European Research-Intensive Universities in 2016.
Located on a green campus in the southern Heyendaal neighbourhood of Nijmegen, the campus houses 7 faculties that conduct teaching and research in Arts, Law, Management, Medical Sciences, Social Sciences and Theology, Philosophy and Religious Studies. In addition to these faculties, the campus also hosts the Max Plank Institute for Psycholinguistics, a world class research centre devoted to the understanding of human language and communication.
Among its alumni Radboud University counts 12 Spinoza Prize laureates and 1 Nobel Prize laureate, Sir Konstantin Novoselov, the discoverer of graphene. Other notable alumni include former Prime Minister of the Netherlands Dries van Agt, former chairman of Unilever Marijn Emmanuel Dekkers, influential priest and theologian Henri Nouwen, and First Vice-President of the European Commission Frans Timmermans. Former students have also won 3 Olympic medals since 2000 (all in rowing).
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