Uppsala University, Sweden 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 Uppsala University, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Nano-Carbon Neuromorphic circuits for on-body AI
The research assigned to the PhD position has a focus on the development of enabling technology for designing and fabricating neuromorphic circuits with bio-plausible spiking performances. The circuits to be designed include building blocks which mimic artificial excitatory and inhibitory neurons, and more complicated ones implementing spiking neural networks. The approach utilizes nano-carbon materials in the circuit design to render spike-driven signalling and computing with tactile and thermal inputs. The project explores a smart method to enable efficient design of neuromorphic circuits.
We have an exciting work environment designed by the doctoral student and the research team together. The doctoral student will be supervised by at least two supervisors. The Department of Electrical Engineering also gives a salary supplement to doctoral students at Department of Electrical Engineering, Uppsala University.
Deadline : 2024-02-29
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student positions at the Department of Law
The overall purpose of the doctoral studies is to provide future newly qualified doctors of law with good prospects for a successful career within or outside of higher education. This includes in-depth knowledge of the chosen subject in the field of research, a capacity for independent and critical thinking, proficiency in scientific methods and modes of working, an ability to identify interesting and researchable issues, teaching skills, and the ability to express himself or herself well both orally and in writing, an ability to operate in an international context and an ability to understand and deal with ethical issues concerning research.
Admission is based on an evaluation of the applicant’s capacity to successfully complete the doctoral studies. The evaluation is primarily focused on the project description as well as the scientific written material (published or not published). Analytical ability, ability to structure the material and to independently work on the proposed project, and the project’s news value, are paramount. In addition to the written material, other merits, such as grades, diplomas, completed courses, etc., may also be of importance in the assessment. Further, the applicant’s capacity to cooperate in different ways, e.g. with teaching colleagues, may be taken into consideration as well as the Department’s need to recruit doctoral students in all subject areas.
Deadline :2024-03-01
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Biochemistry
The main duties of PhD students are to devote themselves to their research studies, which includes participating in research projects and third cycle courses. The work duties can also include teaching and other departmental duties (not more than 20 % of full time.
Deadline : 2024-02-20
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD studies in Sociology
Uppsala University welcomes applications for doctoral student positions in sociology based at the Department of Sociology. The Department seeks to appoint up to two candidates with excellent academic merits who can demonstrate their potential for research in any area of sociology.
Doctoral studies in sociology constitute four years of full-time study leading to a doctoral degree. The studies will be grounded in an international, scientific context. The responsibilities as a doctoral student also include taking courses to gain in-depth knowledge of the subject and to develop theoretical and methodological skills. The purpose of the doctoral program is to provide advanced knowledge in sociology and to educate independent and critical researchers with broad theoretical knowledge in the field of social sciences and methodological skills. The studies will be carried out in close cooperation with supervisors and in a research environment with frequent seminars.
Deadline : 2024-02-29
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD position: New environmentally friendly electric motors for sustainable electrification
Dependency on rare earth metals is a challenge for future electrification as rare earth metals are considered critical raw materials. The aim of this project is to reduce the use of rare earth metals through the substitution to new magnets without, or with less, rare earth metals. The new magnets will be both weaker and easier to demagnetize than conventional magnets and therefore new simulation models need to be developed for the unique magnets, and implemented in simulation software for electric motor design. The new models will be more advanced than existing models and adapted for the new magnets and will therefore model the magnets more accurately. Furthermore, new innovative motor types must be developed that are adapted to the new magnets. Finally, an electric motor for electromobility will be designed, built and tested with the new magnets, thus demonstrating that the new magnets can substitute conventional rare earth magnets. Both the new magnets and the electric motor must be designed so that the magnets can be recycled to further contribute to sustainable electrification.
Deadline : 2024-02-29
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD student in geophysics
The PhD candidate will conduct research within the topic of data mining of petrophysical, geophysical, geochemical and geochronological data, using survey data bases from Sweden, Finland and Norway. The candidate will work at the interface between geosciences and information technology, with a focus on using methods in computation, statistics and large data handling. As such, the PhD candidate will be supervised by a team from the Department of Earth Sciences and the Department of Information Technology at Uppsala University. The candidate is expected to work closely together with the geological surveys of Sweden, Finland and Norway, with possible extended (several weeks) visits to the respective surveys of these countries.
Research funding organizations include the Swedish Foundation for Strategic Research (SSF) through the recently established Smart Exploration Research Centre for sustainable and responsible exploration of critical raw materials. The PhD candidate will work within a larger research team including experts from different institutions and companies partnered in the research centre.
Deadline : 2024-02-29
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Medical Cell Biology
The PhD project aims to understand mechanisms behind calcium-dependent exocytosis in hormone-secreting cells of the pancreas, primarily by using advanced microscopy. The focus will be on how the interaction between SNAREs and other proteins catalyzes membrane fusion, and how these processes are affected by cellular context and in type-2 diabetes. Methods include live cell and superresolution microscopy, image analysis, and molecular biology.
Deadline : 2024-02-20
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Automatic Control focusing on probabilistic methods for secure control
The project aims to develop theory and probabilistic methods for securing cyber-physical systems (CPSs) possessing learning and control capabilities: digital devices that learn from data they collect, and automatically decide how to best interact with the physical world over time.
Probabilistic methods are a natural way to deal with the uncertainty of physical systems and unintentional failures. However, attacks are not only probabilistic but can have strategic behaviors, tailored to causing harm while avoiding detection. Hence, it is critical to develop systematic approaches that integrate the probabilistic and strategic aspects of attacks in security analysis.
Deadline : 2024-03-08
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Historical geology and Palaeontology
This project will investigate the impacts of prolonged ocean warmth on phytoplankton composition, their biogeographical distribution and past productivity using scientific ocean drilling legacy data and drill-sites. You will study the fossil remains of marine algae from the Miocene Climatic Optimum (MCO; 16.9-14.7 Ma), the warmest climate state of the past 24 million years. Detailed studies of the MCO are important for constraining future warming scenarios, because it was a time interval of sustained global warmth under moderately high atmospheric CO2 levels (400-600 ppm) and a much weaker latitudinal temperature gradient than today. Biogenic sediment burial rates and nannofossil assemblage data will form the backbone of this project. Data will be mined from existing IODP datasets and new, high-resolution fossil time series will be produced at key sites from low- and high latitudes. Empirical results will be compared to global biogeochemical and climate model simulations of the MCO, run by colleagues at the University of Michigan, to mutually verify and validate our independent findings.
Deadline : 2024-03-18
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Historical geology and Palaeontology
This PhD position is embedded into the Marie Sklodowska-Curie Doctoral Network (DN) “ZooCELL”. The ZooCELL network brings together 7 beneficiaries and 7 associated partners, located in 6 different countries (France, Germany, Italy, Netherlands, Sweden and UK) and one intergovernmental organisation (EMBL-ZooCELL coordinator). 12 Doctoral candidates will enjoy a multi-disciplinary and international environment with plenty of training opportunities and exchange with all labs involved in the Network.
Single-cell and tissue genomic and transcriptomic techniques will be developed and applied for these research organisms. In addition, standard methods such as in-situ hybridization for the detection of gene transcription, and RNAi for the knock-down of gene function may be applied to further investigate the function of developmental key-factor genes identified by single-cell/tissue transcriptome analysis.
Deadline : 2024-03-18
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD student in lithium recycling
The primary focus of this PhD project will be on understanding of different methods of lithium recycling and lithium extraction. This includes investigating different hydrometallurgical methods used for recycling of lithium from battery waste materials and understanding different methods used for extraction of lithium. Recycling of elements used in lithium-ion batteries has become an important topic to ensure circularity and resources efficiency. The goal therefore is to improve the efficiency of recycling and extraction of lithium from waster resources. The project will require use different analytical tools such as SEM, XRD, FTIR, etc. and use of variety of electrochemical tests. The ultimate goal of this project is to increase knowledge and understanding in this field and take the next steps in increasing efficiency of lithium recycling and extraction.
The doctoral student will be involved in the collaborations, planning and performing experiments and thereby becoming experienced in recycling of battery material, electrochemistry, and analytical techniques.
Deadline : 2024-02-26
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Molecular Ecology
Animals carry a multitude of microorganisms that collectively constitute their microbiome. These microbes are incredibly important for a host as they provide essential nutrients, train the immune system, and communicate with the host’s nervous system. This doctoral project aims to contribute to a better understanding of the microbiome’s role in wild animals, with a special focus on the Scandinavian wolverine, a key predator and scavenger in the Swedish fauna. The PhD student will analyze both the wolverine’s diet (prey animals) and gut microbiome in detail using modern DNA sequencing in the form of metabarcoding. The plan is to evaluate whether the diet can predict the composition and diversity of the microbiome, describe the variation observed within the species, and investigate how individuals living in zoos differ from their wild counterparts.
Deadline : 2024-03-11
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Studies in Sociology with a Specialization in Social Gerontology
Doctoral studies in sociology constitute four years of full-time study leading to a doctoral degree. The studies will be grounded in an international, scientific context. The responsibilities as a doctoral student also include taking courses to gain in-depth knowledge of the subject and to develop theoretical and methodological skills. The purpose of the doctoral program is to provide advanced knowledge in sociology and to educate independent and critical researchers with broad theoretical knowledge in the field of social sciences and methodological skills. The studies will be carried out in close cooperation with supervisors and in a research environment with frequent seminars.
Deadline :2024-04-19
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Theoretical philosophy at the Department of Philosophy
The successful applicant will be offered a position as a PhD candidate (“doktorandanställning”) for 4 years full-time, during which the PhD candidate will receive a salary as an employee at the department. See details about start salary below. They will also be eligible for Swedish social benefits, including pension schemes and paid parental leave. PhD candidates are expected to engage in their studies full-time and to participate in the activities of the department. The position may include teaching and other assignments. Certain duties, including teaching, qualify the student for an contract extension of their contract. The positions are available from 1 September 2024.
Deadline :2024-03-01
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Aesthetics at the Department of Philosophy
The successful applicant will be offered a position as a PhD candidate (“doktorandanställning”) for 4 years full-time, during which the PhD candidate will receive a salary as an employee at the department. See details about start salary below. They will also be eligible for Swedish social benefits, including pension schemes and paid parental leave. PhD candidates are expected to engage in their studies full-time and to participate in the activities of the department. The position may include teaching and other assignments. Certain duties, including teaching, qualify the student for an contract extension of their contract. The positions are available from 1 September 2024.
Deadline : 2024-03-15
(16) PhD Degree – Fully Funded
PhD position summary/title: Three PhD student positions in Human Geography
A PhD student’s primary job responsibility is to work toward the completion of the doctoral program, involving four years of full-time study. This includes coursework and all work related to the dissertation. In addition, PhD students may be asked to allocate up to 20% of their time to other tasks in the department, such as teaching and administrative duties.
The terms of employment for doctoral students can be found (in Swedish) in Higher Education Ordinance chapter 5 1-7 §§ and in the University rules http://regler.uu.se/. The rules of the doctoral program are found in the General Curriculum of the Doctoral Program in Human Geography (Allmän Studieplan, available in Swedish: samfak.uu.se/digitalAssets/634/c_634316-l_3-k_kulturgeografi-allman-studieplan-samfak-2021_166.pdf; the English version is available upon request).
Deadline : 2024-03-11
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning building on physical principles
There are two main strategies to derive and deduce models – either using theory-based first principles or data-driven approaches. This project aims to conduct basic research to create new tools for using these two modeling strategies in conjunction. Combining all prior knowledge, both in terms of available data and physical first principles, has the potential to result in better models than if we only had to rely on one of them. How physics should be combined with data-driven machine learning models depends on the problem and is an active and in many areas still underdeveloped research field.
By making machine learning models more physics-informed, they will also become more interpretable. This interpretability can transform these machine learning models from being black-box models into full-fledged scientific tools enabling new knowledge discoveries. Therefore, one aim of this project is to create machine learning models that not only can be leveraged by first principles, but in the future also can be used to enable new knowledge discoveries in the physical domains in which they are employed. Finally, the project also aims to use theories from physics to better understand why machine learning models are working, how they can be improved and quantify their fundamental limitations.
Deadline : 2024-03-28
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning with a focus on generative models for nonlinear dynamics
This project focuses on developing theory and probabilistic methods for generative modelling of nonlinear dynamical systems. These dynamical models are essential in explaining and understanding the world around us since many phenomena evolve over time. When it comes to modeling nonlinear dynamics, flexible models have the potential to significantly enhance performance over simple ones. Over the past two years we have focused more on generative models in this context, where we foresee an interesting future and the successful candidate will contribute to this. A key topic here is to design deep neural network models with longer memories.
Deadline : 2024-03-28
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning with a focus on scientific computing for applications in cancer research
Cancer research is becoming increasingly quantitative. Mathematical and computational models are currently used to interpret pre-clinical and clinical cancer data. In this project, the doctoral student will develop mathematical models and computational methods that aim to elucidate and predict cancer dynamics. The doctoral student will combine modelling techniques that are used in classical mathematical biology (e.g., differential equation models) with methods from computational statistics and machine learning (e.g., Monte Carlo methods and neural networks). The doctoral student will join the Artificial Intelligence and Mathematics for Oncology (AIMOn) group, work with cancer data and have the opportunity to collaborate with experts in mathematics, statistics, machine learning, experimental cancer research and clinical cancer research.
Deadline : 2024-03-28
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Automatic Control focusing on Data-Driven Methods
As more data are collected by industries and utilities around the world, there is an increasing interest in methods that can use this data to optimize control systems, maintenance strategies, and decision-making.
This project is focused on basic research into theory and methods in learning for decision and control of dynamical systems. The aim is to develop new ideas for a wide class of dynamical systems, but we will also make use of our ongoing collaborations with researchers in important applications to ensure that our research is relevant in real-world settings. These applications include battery systems, wastewater treatment plants, power transformers, etc.
The exact research topic is decided in a dialogue between the doctoral s
Deadline : 2024-03-28
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Scientific Computing focusing on Scientific Machine Learning
The successful candidate will join us in developing principled foundations of learning from noisy datasets, with opportunities to validate the methods on challenging scientific problems. There will be a strong focus on deep learning and Bayesian methods in the context of the project. We will consider the problem setting of simulation-based inference, where machine learning models are used to learn expressive, informative features from high-dimensional scientific data arising from both, simulations and experiments. We will consider various forms of data, including structured representations such as time series (e.g., studying protein interactions via observed copy numbers) and images (e.g., microscopy). Technical keywords for the position include variational inference, likelihood-free parameter inference, robust learning and large-scale optimization.
Deadline : 2024-04-02
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Machine Learning with a focus on Vision-Language Models
Vision-language models integrate computer vision and natural language processing techniques to process and generate information that combines both visual and textual modalities, enabling a more profound understanding of the content within images and videos. While vision-language models exhibit promising potential, they are currently in early stages of development. Effective integration of both modalities (vision and language), and aligning visual and text embeddings into a cohesive embedding space, continues to pose significant challenges.
In this project, the successful candidate will conduct basic research and methods development towards designing efficient vision-language models, exploring their applications in computer vision and analysing the consequential societal impact. Through our research, we aim to contribute significantly towards learning effective representations combining text, image and video data, potentially benefiting fields including surveillance and healthcare.
Deadline : 2024-03-28
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD position in History
Successful candidates will pursue their doctoral studies full-time in Uppsala and are expected to participate actively in weekly seminars, workshops and other activities. They will also be required to spend part of their time at the Swedish Holocaust Museum in Stockholm.
The position is a 4-year full-time employment (starting salary is currently 30 700 SEK/month) which qualifies for all Swedish social benefits, such as paid parental leave. It might also entail teaching and other assignments up to 20 percent of a full-time, resulting in a maximal extension of one year (totaling five years full-time equivalent).
Deadline : 2024-03-15
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD student in immunotherapy against neuroblastoma
Yumeng Mao’s research group aims to dissect the negative immune regulatory network in immune cells and cancer cells to uncover novel mechanisms that could broaden the clinical benefits of cancer immunotherapy. We will achieve this by combining our pre-clinical research expertise in cancer immunology with the pioneering technology platforms at the SciLifeLab. A strong technical focus will be developing experimental tools using CRISPR/Cas9 technology. In particular for the project, we have a special interest in understanding the interaction between the human immune system and high-risk neuroblastoma cancer cells. The project could generate important information to assist the development of novel therapies for patients. For more information, please visit https://www.igp.uu.se/research/cancer-immunotherapy/yumeng-mao/
Deadline : 2024-02-29
About Uppsala University, Sweden –Official Website
Uppsala University is a research university in Uppsala, Sweden. Founded in 1477, it is the oldest university in Sweden and all of the Nordic countries still in operation. It has ranked among the world’s 100 best universities in several high-profile international rankings during recent years. The university uses “Gratiae veritas naturae” as its motto and embraces natural sciences.
The university rose to pronounced significance during the rise of Sweden as a great power at the end of the 16th century and was then given a relative financial stability with the large donation of King Gustavus Adolphus in the early 17th century. Uppsala also has an important historical place in Swedish national culture, identity and for the Swedish establishment: in historiography, literature, politics, and music. Many aspects of Swedish academic culture in general, such as the white student cap, originated in Uppsala. It shares some peculiarities, such as the student nation system, with Lund University and the University of Helsinki.
Uppsala belongs to the Coimbra Group of European universities and to the Guild of European Research-Intensive Universities. The university has nine faculties distributed over three “disciplinary domains”. It has about 44,000 registered students and 2,300 doctoral students. It has a teaching staff of roughly 1,800 (part-time and full-time) out of a total of 6,900 employees. Twenty-eight per cent of the 716 professors at the university are women. Of its turnover of SEK 6.6 billion (approx. USD 775 million) in 2016, 29% was spent on education at Bachelor’s and Master’s level, while 70% was spent on research and research programs.
Architecturally, Uppsala University has traditionally had a strong presence in Fjärdingen, the neighbourhood around the cathedral on the western side of the River Fyris. Despite some more contemporary building developments further away from the centre, Uppsala’s historic centre continues to be dominated by the presence of the university.
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