{"id":8026,"date":"2024-02-08T10:00:28","date_gmt":"2024-02-08T10:00:28","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=8026"},"modified":"2024-02-08T11:10:49","modified_gmt":"2024-02-08T11:10:49","slug":"33-fully-funded-phd-programs-at-university-of-oslo","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/33-fully-funded-phd-programs-at-university-of-oslo\/","title":{"rendered":"33 Fully Funded PhD Programs at University of Oslo, Norway"},"content":{"rendered":"

Are you holding Master\u2019s degree and looking for fully funded PhD positions? University of Oslo, Norway invites online application for multiple funded PhD Programs \/ fully funded PhD positions in various research areas.<\/span><\/p>\n

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University\u2019s Online Application Portal.\u00a0<\/span><\/p>\n

1. Fully Funded PhD Position in Experimental Nuclear Resonances<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The research of the Nuclear Physics group is focused on the study of atomic nuclei under extreme conditions, e.g. nuclei at high excitation energy at the transition from quantum order to chaos, exotic nuclei with an unusual ratio of protons and neutrons, and nuclear reactions in astrophysical environments. To obtain experimental information under such conditions is crucial in order to constrain and improve theoretical nuclear structure models, and to understand how elements heavier than iron are formed in explosive stellar environments.<\/span><\/p>\n

Application Deadline:<\/strong> 27th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

<\/h3>\n

2. <\/strong><\/span>Fully Funded PhD Position in Experimental Nuclear Physics for medical applications<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

One of the research focuses of the Nuclear Physics group is the application of nuclear physics for medical applications. This pertains to studies of novel production pathways for medically relevant radionuclides. Such radionuclides are used for a range of current cancer procedures, whereby the decay radiation is used for diagnostic and\/or treatment purposes. Unlike external beam therapy, which is performed on predetermined sites on the patient, the biomolecules employed by targeted radionuclide therapy are attracted towards cancerous cells throughout the body. This enables the simultaneous treatment of unidentified, secondary malignant growths. In particular, this project is focused on emerging alpha-emitting radionuclides for targeted alpha therapy (TAT): an exciting new treatment modality for cancer.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

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3. <\/strong><\/span>Fully Funded PhD Position in Geosciences (Earth History)<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Much of the research in historical geosciences is concerned the plausible relationships between different (reconstructed) variables, such the atmospheric concentrations of different gases (e.g. oxygen, carbon dioxide), features of the surface of the earth (e.g. continental area, tectonic activities, snow and ice cover, biodiversity), and characteristics of the earth\u2019s interior. These variables are variously estimated via proxies (e.g. isotopes) or using models with different types of input parameters, giv-en a set of assumptions, usually based on modern measurements. While there is a lot of focus on both the generation of proxy data and the construction of earth history models, there is less focus on time-series analyses and especially causal inference, even though many of the questions posed in the recent literature concern unraveling causal relationships among time series. There is hence a need to use better time se-ries tools and further develop time series tools for temporally patchy, highly uncer-tain data common in historical geology.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

4. <\/strong><\/span>Fully Funded PhD Position in Geoscience<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Our planet formed 4.567 billion years ago and as it cooled down, it became differentiated into layers. The lighter outermost layer became the continental crust and the first continents were probably formed in the Archean, but their extent and geographical distribution are still unknown. The transition period from a magnesium- rich upper continental crust to a magnesium-poor upper continental crust occurred between 3 and 2.5 billion years ago, and may have set the scene for the formation of living matter that required subaerial land masses. It is therefore crucial to determine when, where, and also the extent of continental masses in order to assess the habitability conditions of early Earth. Direct evidences of these conditions are sparse, but one can use them to test various models of continental crust extent which were geo-chemically derived. The aim of this project is to construct the paleogeography of Early Earth at selected time intervals during the time of transition between the Early Earth tectonic mode (stagnant or sluggish lid) to plate tectonics.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

5. <\/strong><\/span>Fully Funded PhD Position in Information Systems on AI in the public sector\/healthcare<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The two positions are devoted to carrying out research on how digital technologies based on artificial intelligence (AI) are organized, implemented, and used in the public sector and healthcare. This involves developing a sociotechnical perspective on AI and performing empirical studies of the processes and consequences of implementing AI in organizational contexts.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

6. <\/strong><\/span>Fully Funded PhD Position in Integrative Machine Learning for Gene Prioritization<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Our project explores gene prioritization, an essential aspect of systems bi-ology, where genes are meticulously detected and assessed for their potential links to diseases or phenotypes of interest. The project aims to significantly contribute to annotating overlooked genes, illuminating their func-tions with greater accuracy and confidence. Addressing the challenge of underperforming machine learning models in practical gene prioritization scenarios is the primary motivation behind this PhD project.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

7. <\/strong><\/span>Fully Funded PhD Position in Materials Chemistry and Physics Related to Water Electrolysis Systems<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The PhD Research Fellow will be mainly involved in the synthesis and development of novel catalysts for use as anodes in water electrolyzers. The catalysts will be characterized by a variety of ex situ and in situ\/operando physicochemical techniques, and also modelled by computational methods, such as density functional theory (DFT), depending on the qualifications and interest of the PhD candidate.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

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8. <\/strong><\/span>Fully Funded PhD Position in marine plankton ecology<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The role of disease is generally understudied in pelagic ecology. Our group aims to understand the role of parasites of zooplankton and their effects on biogeochemical processes, population dynamics, and community composition. We are seeking a candidate who will use state-of-the-art high-throughput imaging devices in combination with traditional plankton sampling to examine responses to environmental gradients and fluctuations on scales relevant to the individual plankton and their parasites.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

9. <\/strong><\/span>Fully Funded PhD Position in Materials Chemistry and Physics Related to Water Electrolysis Systems<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

We seek a PhD research fellow with qualifications and interest in materials science and electrochemistry related to catalyst materials for water electrolysis systems. The work is part of REFINE, a Horizon Europe-funded project with the main aim to produce electrofuels. REFINE is coordinated by University of Oslo (UiO) and is comprised of a total of nine partners.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n


\n10. <\/strong><\/span>Fully Funded PhD Position in Materials Science<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

We seek a PhD Research Fellow with qualifications and interest in materials science and renewable energy conversion technologies. The Centre for Materials Science and Nanotechnology (SMN) comprises UiO\u2019s focus on renewable energy, materials science, and nanotechnology. The Centre is an interdisciplinary collaboration between five research groups in physics and chemistry, and spearheads the MN Faculty’s efforts for sustainable energy solutions.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

<\/h3>\n

11. <\/strong><\/span>Fully Funded PhD Position in in Mathematics<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

We are looking for a talented student to be affiliated with one of the following research groups at the department: Several Complex Variables and Operator algebras. The successful applicant must have research interests and background well aligned with the activity of at least one of these groups, and this should be described in the application.\u00a0<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

<\/h3>\n

12. <\/strong><\/span>Fully Funded PhD Position in Materials Science<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The position is part of the interdisciplinary flagship project SOLARIS, which addresses fundamental materials science for solar energy materials and solar energy harvesting with an application-oriented focus. In particular, photovoltaic and solar fuel production by photo- or PV-driven electrocatalysis will be investigated, for which novel functional compounds need to be discovered through combinatorial materials science.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

13. <\/strong><\/span>Fully Funded PhD Position in Mathematics\u00a0<\/strong><\/span><\/p>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

We are looking for a talented student to be affiliated with one of the following research groups at the department: Algebra and Algebraic Geometry, Several Complex Variables, Geometry and Topology, Operator Algebras, and Computa-tional Mathematics and PDEs. The successful applicant must have research in-terests and backgr<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

14. <\/strong><\/span>Fully Funded PhD Position in Mechanics\/ Biophysics on the modelling of intracellular membrane dynamics<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

A PhD Research Fellowship is available at the Department of Mathematics, Mechanics Division at the University of Oslo (UiO). The position is parts of large interdisciplinary projects which focuses on the development of mathematical models and numerical simulations of sequestration of material on intracellular membranes. More specifically, it will address the basic mechanochemical processes that regulate one of the most fundamental communication pathways in cell biology – the \u201cself-eating\u201d process of autophagy. Autophagy protects us from infections, cancer and neurodegerative diseases and has been shown to promote longevity in model organisms. The PhD work will involve theoretical modelling, in combination with numerical simulations to develop a digital twin of the cell experiments.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

15. <\/strong><\/span>Fully Funded PhD Position in Nuclear Fission<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Position as PhD Research Fellow in Experimental Nuclear Physics is available at the Department of Physics. The position is funded through the Norwegian Nuclear Research Centre (NNRC). NNRC is a cross-disciplinary collaboration between Norway\u2019s leading institutions within nuclear physics and nuclear chemistry research: University of Oslo (UiO), Norwegian University of Life Sciences (NMBU), and Institute for Energy Technology (IFE). The Centre addresses major research questions within the nuclear field spanning topics from nuclear properties and medical isotope production, to reactor simulations and modeling of spread of radioactivity in the environment.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

16. <\/strong><\/span>Fully Funded PhD Position in Natural Language Processing<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The PhD project will focus on variety-aware machine translation in a broad sense. While there have been impressive improvements in the field of machine translation in recent years, most systems define their source and target lan-guages at a relatively coarse level (e.g. \u201cEnglish\u201d, \u201cNorwegian\u201d) and do not take into account different types of variation that exist within these language denominations: national varieties (e.g. American vs. British English), writing forms (e.g. Bokm\u00e5l vs. Nynorsk), dialects, historical varieties, learner language, simple\/plain language, as well as different genres and styles.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

17. <\/strong><\/span>Fully Funded PhD Position in Plant Reproduction and Developmental Biology<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Genomic imprinting is an epigenetic phenomenon giving rise to parent-of-origin allele specific expression that occurs mainly in placental tissue\/endosperm in animals and plants and is hypothesized to be involved in the allocation of nutrient resources to the growing embryo. Although imprinting has evolved independently in plant and animal lineages, similar epigenetic mechanisms, including DNA methylation, histone tail modification, and sRNA-guided silencing mechanisms are conserved. In plants, genomic imprinting is hypothesized to be established in the gametes and reflected in parent-of-origin allele specific expression in the endosperm after fertilization [Hornslien et al. Plant Physiol. 2019].\u00a0<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

18. <\/strong><\/span>Fully Funded PhD Position in Probabilistic Machine Learning<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

We are in search of a committed PhD candidate to become part of our team, focusing on self-supervised learning problems and probabilistic machine learning. The candidate will advance our understanding of latent representations and their distinctive spaces, tailoring them with properties that are advantageous for tasks involving visual data. Our aim is to devise novel algorithms capable of recognizing and interpreting unknown patterns within such data. Furthermore, we intend to refine self-supervised methods that excel in learning from limited data, applying them to a broad spectrum of challenges.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

 <\/p>\n

19. <\/strong><\/span>Fully Funded PhD Position in Risk and Stochastics<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

The position is mostly intended within the areas of stochastic analysis, stochastic filtering, stochastic partial differential equations, stochastics in machine learning. These areas will be prioritized. The focus is on the development of original mathematical methods aimed at the modelling of complicated phenomena arising in applications both from natural and social sciences, this includes research within risk and control problems from engineering as well as from finance, energy finance, sustainable economics, insurance. To study such models, techniques from both deterministic and stochastic analysis as well as numerical analysis will be developed and used. Documented knowledge in the fields above is welcome.<\/span><\/p>\n

Application Deadline:<\/strong> 29th February 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n

<\/h3>\n

20. 13 <\/strong><\/span>Fully Funded PhD Position in knowledge-driven machine learning<\/strong><\/span><\/h1>\n

Summary of PhD Program:<\/strong><\/span><\/h2>\n

Machine learning is the mathematical and computational engine of Artificial Intelligence (AI), and therefore it is a fundamental force of technological progress in our increasingly digital, data- and algorithm-driven world. Integreat develops theories, methods, models, and algorithms that integrate general and domain-specific knowledge with data, laying the foundations of next generation machine learning. We do this by combining the mathematical and computational cultures, and the methodologies and theories, of statistics, logic, language technology, ethics and machine learning, in new and unique ways.<\/span><\/p>\n

Application Deadline:<\/strong> 4th March 2024<\/span><\/span><\/h3>\n

Apply now<\/strong><\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"

Are you holding Master\u2019s degree and looking for fully funded PhD positions? University of Oslo, Norway invites online application for multiple funded PhD Programs \/ fully funded PhD positions in various research areas. Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants … Read more<\/a><\/p>\n","protected":false},"author":1,"featured_media":1616,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"elementor_theme","format":"standard","meta":{"footnotes":""},"categories":[255,39],"tags":[150,40,149,148],"class_list":["post-8026","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-europe","category-phd-programs","tag-funded-phd-position","tag-funded-phd-programs","tag-phd-position","tag-phd-program"],"yoast_head":"\n33 Fully Funded PhD Programs at University of Oslo, Norway<\/title>\n<meta name=\"description\" content=\"Are you holding Master\u2019s degree and looking for PhD positions \/ PhD Programs? 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