Stockholm 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 Stockholm University, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD student in North Greenland Marine Micropaleontology
This PhD employment aims to reconstruct the evolution of ocean circulation, sea ice, and marine-terminating glaciers on the North Greenland margin, Arctic Ocean, over the past ~140,000 years, spanning the deglaciation and Holocene. To achieve this, the project will integrate quantitative analyses of calcareous microfossils—including benthic and planktonic foraminifera, and ostracods—with sedimentological, geophysical, and chronological constraints.
The successful candidate will work with marine sediment cores collected from past expeditions in underexplored regions of North Greenland and will likely have the opportunity to collect new records on an upcoming Arctic expedition aboard the Swedish icebreaker Oden.
Deadline : 15.May.2025
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Environmental Science, with a focus on machine learning
Join our research group in a project at the intersection of environmental chemistry and data science. We seek a highly motivated PhD candidate to enhance the transparency of machine learning (ML) models designed to predict the biochemical activity of emerging organic pollutants such as per- and polyfluoroalkyl substances (PFAS), by applying explainable artificial intelligence (XAI) tools. This research will contribute to a deeper understanding of the mechanisms of chemical toxicity, a critical aspect of environmental risk assessment.
The ever-growing number of chemicals in the environment poses a significant challenge in assessing their potential health risks. To address this, techniques such as high-throughput screening (HTS) for bioactivity data generation and non-targeted screening (NTS) for environmental sample analysis have grown in popularity. While these methods generate large volumes of relevant data, the complexity of the datasets makes it challenging to derive meaningful insights. To overcome this, ML has emerged as a powerful tool to link these datasets and uncover hidden patterns, enabling the prediction of biochemical activity and the prioritization of harmful chemicals for further investigation.
However, despite their predictive power, advanced ML models are often referred to as “black boxes” due to the difficulty in explaining and interpreting their decision-making process and predictions, leading to skepticism about their reliability and hindering their practical use. In this project, we aim to overcome this limitation by utilizing XAI methods. Recent advances in post-hoc interpretability techniques have shown great potential for validating and debugging ML models, offering new insights into both the models’ decisions and the underlying data.
Deadline : 01.May.2025
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Statistics
The Department of Statistics at Stockholm University is one of the largest statistical departments in Sweden. We conduct research and education in Bayesian Statistics, Computational Statistics, Design of Experiments, Linear Models, Official Statistics, Sampling Theory, Survival Analysis, Statistical Network Modeling, and Time Series Analysis. For more information about us please visit: the Department of Statistics.
Deadline : 26.Apr.2025
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Sustainable organic bioelectronics
Organic semiconductors have the potential to increase device sustainability in bioelectronic applications such as short-term disposable sensors for diagnostics, environmental and food monitoring. However, the adoption of organic electronics relies on the discovery of materials combining high performance with easy scale-up production at low costs. This project explores blends with majority-content insulating polymers to increase the sustainability and impact of organic semiconductors for bioelectronics. The work is highly interdisciplinary, including materials development, characterization, and evaluation as core components in electrochemical transistors. It will address several research challenges, from understanding the complex interplay between materials chemistry and the microstructure of the films to evaluate their performance and stability in electrochemical devices.
The ideal applicant is proactive and equipped with a problem-solving mindset, as well as the ambition to conduct interdisciplinary research within the broad breadth of material chemistry, electrochemistry, and device physics. Candidates with experience in materials chemistry, soft condensed matter, and polymer science are encouraged to apply. The applicant should have good knowledge of English, both oral and written.
Deadline : 24.Apr.2025
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Analytical chemistry for point-of-care diagnostics of NTDs
Neglected Tropical Diseases (NTDs) are a group of 24 conditions caused by several viruses, bacteria, parasites, fungi and toxins. They affect >1 billion people and cause 200,000 deaths, mostly in impoverished communities in low- and middle-income countries. NTDs receive relatively small amounts of research effort and investment but contribute to an immense social and economic burden. Accurate, reliable and affordable diagnostic tests are critical to support prompt treatment choices, to guide public health decisions and to verify elimination.
In the Pamme Research Group we are designing microfluidic lab-on-a-chip devices for clinical diagnostics as well as biomedical research, environmental analysis and the synthesis of smart materials. We have a particular focus on developing affordable and simple-to-operate methods for point-of-care clinical diagnostics. In previous projects we have investigated a range of nucleic acid-based analysis workflows for the detection of sexually transmitted infections in maternal health, for analysis of Covid in sputum samples, as well as bacteria in meat samples and fungal infections in crops.
In this project we will carry out research into developing point-of-care diagnostics for neglected tropical diseases such as schistosomiasis or leishmaniasis. These will be based on nucleic acids that are specific to the NTD. We will design a range of microfluidic analysis platforms and test nucleic acid extraction methods and amplification methods on-chip. The idea is that the platform and workflow can be carried out by staff in regional health clinics and we will test our devices with collaborators in Kenya.
Deadline : 24.Apr.2025
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Organic Chemistry in Lignin Chemistry
The thesis work will be conducted within lignin chemistry in Prof. Joseph Samec’s research group. The research project comprises development of a reactive fractionation method to generate building blocks for synthesis of recyclable composite materials using green and sustainable chemistry.
Deadline : 24.Apr.2025
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Materials Chemistry with focus on Organic Waste Valorization
The multidisciplinary project will be dedicated to repurpose abundant sludge wastes from paper mills to promote sustainable, peat-free mushroom farming and contribute to Sweden’s circular bioeconomy. The research aims to develop sludge blends that mimic peat’s properties, investigate microbial interactions in the sludge, and assess its effect on mushroom growth, safety, and quality. The candidate will gain valuable experience in mushroom and peat production, material characterization and microbiome analysis.
Deadline : 24.Apr.2025
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Luminescent Nanoprobes for in vivo bioimaging
Project description: Luminescent nanoparticle may serve as bioimaging probes to study their distribution in vivo in animal studies. This imaging is crucial during the development of nanoparticle based therapies. In this project, we will utilize the potential of flame aerosol nanoparticle synthesis to produce a variety of luminescent nanoparticles active in the near-IR. We will control their optical properties to maximise their detection in vivo, and we will also tune their surface properties to render them suitable for biofunctionalization. We will aim to target specific organs by specific biofunctionalization strategies. The project includes:
- Production of nanoparticles by flame aerosol synthesis.
- Physicochemical characterization of nanoparticles.
- Optimization of nanoparticle composition and size for near-IR luminescence and setting up optical system for measuring performance.
- Establishing biofunctionalization strategies for specific targeting cells and assessment in vitro in cell cultures.
- Ex vivo and in vivo assessment of performance for bioimaging.
Deadline : 24.Apr.2025
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Drug Nanocarriers
Project description: Drug nanocarriers today rely primarily on lipid-based nanoparticles. However, these particles have limitations, for example they suffer from low drug loadings. In this project, we will explore the potential of flame-made inorganic nanoparticles as drug nanocarriers and their incorporation in lipid-based nanoparticles. We will utilize flame spray pyrolysis to produce the nanoparticles and we will study in detail their physicochemical properties. We will link these characteristics to the achieved drug loadings and optimize the nanoparticle synthesis process conditions to maximise the drug loading. We will start with passive nanocarriers (e.g. Calcium Phosphate) and move one to active nanocarriers, such as Cerium oxide or Gallium-based nanoparticles. The project includes:
- Production of nanoparticles by flame aerosol synthesis.
- Physicochemical characterization of nanoparticles.
- Loading of various drugs (small molecules, biomolecules, nucleic acids) on the nanocarriers.
- In vitro efficacy evaluation with cell and bacterial cultures.
- Ex vivo and in vivo assessment of performance for target application.
Deadline : 24.Apr.2025
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Paper-based Diagnostics
Project description: Paper-based diagnostics exhibit great potential for environmental and health sciences applications. In this project, the doctoral candidate will directly deposit optically active nanoparticles on filter papers by flame aerosol direct deposition and utilize them for point-of-care diagnostics in biomedicine (e.g. to detect bacterial presence in biological fluids), and for environmental applications, for example to detect the presence of pesticides in agricultural products. The project includes:
- Production of nanoparticles by flame aerosol synthesis.
- Physicochemical characterization of nanoparticles.
- Deposition of nanoparticles on paper substrates and their characterization.
- Establishing structure-function relations to understand the sensing capabilities of optically active nanoparticles.
- Assess their performance in detecting bacterial presence and/or toxic substances.
Deadline : 24.Apr.2025
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Colloidal Lignin Materials Chemistry
The thesis work will be carried out within the LIGNOLOOP project, funded by the Knut and Alice Wallenberg Foundation (KAW), in collaboration with KTH, Stockholm University, and Linköping University. The project focuses on controlling the assembly of lignin nanoparticles and their interactions with various polymeric material surfaces, with particular emphasis on developing green methodologies for functional coatings. As stated in the project title, we also aim to establish generalizable structure–function–performance correlations.
The ideal candidate is proactive and possesses a problem-solving mindset. Applicants with a strong foundation in materials chemistry and demonstrated experience in lignocellulose materials are encouraged to apply. Proficiency in both spoken and written English is required
Deadline : 24.Apr.2025
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Evolutionary Genomics with Yeast
Selected candidate will use the powerful microbial model system yeast (Saccharomyces), experimental evolution, and cutting-edge genomic tools to study evolutionary processes. Topics include but are not limited to 1) parallel evolution of climate adaptation in yeast from Europe and South America, 2) the genetic architecture of thermal traits, and 3) the evolution of pathogenicity as a by-product of thermotolerance.
Training will be provided in: experimental evolution, molecular genetics, whole genome sequencing, statistics, bioinformatics, yeast cultivation, and microbiology. The work will mostly be lab-based but may include some fieldwork. There is flexibility within the project for the student to develop their own interests, with guidance and support from the supervisor and the department. The working language of the group is English.
Deadline : 22.Apr.2025
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD students in Mathematics
We especially seek to recruit PhD students for the following projects:
Topics in algebraic topology (supervised by Alexander Berglund)
Arithmetic geometry: Moduli spaces, Galois representations and tautological rings (supervised by Jonas Bergström)
Topics in Diophantine analysis (supervised by Matthew de Courcy-Ireland)
Group theory, arithmetic geometry and representation theory (supervised by Wushi Goldring)
Analysis and geometry: Crystalline structures (supervised by Pavel Kurasov)
Topology of moduli spaces (supervised by Dan Petersen)
Geometric analysis with applications to general relativity (supervised by Oliver Petersen)
It is also possible to apply for projects with other supervisors at the department. Information about available PhD supervisors and possible PhD thesis projects, including more information about the above projects, can be found here: possible PhD thesis projects. We recommend that you contact a potential supervisor before submitting the application.
Deadline : 22.Apr.2025
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Mathematical Statistics
Information about available supervisors and PhD projects can be found on our information page for the PhD program (scroll down to ‘PhD thesis projects in mathematical statistics’). Note that only supervisors/projects in mathematical statistics are available for this position – mathematics and computational mathematics are separate PhD programs.
Deadline : 22.Apr.2025
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computational Mathematics
We especially seek to recruit PhD students for the following projects:
Computational methods for complex SV detection using sequencing data (supervised by Kristoffer Sahlin)
Explainable AI: Characterizing fidelity and creativity of deep generative models (supervised by Chun-Biu Li)
Efficient algorithms for modeling ice sheets (supervised by Josefin Ahlkrona)
Discrete mathematics & algorithm design (supervised by Marc Hellmuth)
Programming, logic and constructive mathematics (supervised by Anders Mörtberg)
Detailed information of the above projects can be found here: List of doctoral projects. Please feel free to contact the potential supervisor if you have any question about the projects.
Deadline : 22.Apr.2025
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Environmental Science, aerosol-cloud-precipitation interactions
The interplay between atmospheric liquid or solid aerosol particles and clouds is a key theme in climate research. Aerosol particles originating from various natural and anthropogenic sources act as cloud condensation nuclei or ice nuclei for cloud droplets and ice crystals to form on. Consequently, the human influence on atmospheric aerosol loadings is likely to result in perturbations in the extent and properties of clouds. This effect is still poorly understood. Despite large efforts during past decades, the processes controlling aerosol-cloud interactions and explaining observed changes are not yet fully understood. The microphysical properties and chemical composition of aerosol particles, and their interaction with water vapour and meteorology represent a complex system with multiple simultaneous interactions. It is one of the major challenges of atmospheric science to understand this complex system and use it to improve predictions of future climate.
This PhD project aims to contribute to our understanding of the key processes governing the life cycle of aerosols and clouds, and their close interplay with atmospheric circulation, meteorology, water vapour and chemistry. The successful applicant will develop numerical modelling tools for describing atmospheric aerosol dynamics, chemistry and their links to cloud hydrometeor microphysics. This PhD project will contribute to the improvement of theoretical and numerical models describing aerosol dynamics, cloud microphysics and eventually the climate system by developing, testing and evaluating numerical schemes for models of varying levels of detail, including e.g. Large Eddy Simulation (LES) models and Earth System Models (ESM) along with detailed process models. The project is part of the SIMPLIFY project funded by the Knut and Alice Wallenberg foundation.
Deadline : 22.Apr.2025
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Musicology
person meets the general entry requirements if they have completed a second-cycle degree, successfully completed courses equivalent to at least 240 higher education credits, of which 60 credits must be in the second cycle, or have otherwise acquired equivalent knowledge in Sweden or elsewhere.
In order to meet the specific entry requirements, applicants must have successfully completed an advanced level degree in Musicology: courses on advanced level covering at least 30 credits including a thesis covering at least 15 credits.
In terms of specific entry requirements, it is also required that the applicant has knowledge of English. Language skills must include the ability to read, speak and write in this language.
Deadline : 15.Apr.2025
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Theoretical philosophy
The thesis work will be conducted within theoretical philosophy. Theoretical philosophy includes epistemology, metaphysics, philosophy of mind, logic, philosophy of language, philosophy of science, as well as the history of philosophy.
Deadline : 15.Apr.2025
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computer and Systems Sciences, with focus on Machine Learning
Distributed machine learning – Algorithms and Theoretical Foundations: The incredible recent success of AI and machine learning has largely been driven by centralized models trained on massive datasets. However, as data collection and processing increasingly occur in complex, networked environments such as smart grids, computer clusters, and IoT systems, new challenges emerge in enabling efficient, decentralized learning.
This project, funded by the Swedish Research Council, aims to advance federated learning, reinforcement learning, and multi-agent systems by developing novel algorithms and theoretical frameworks for distributed AI. By integrating techniques from optimization, deep learning, and statistical learning, the research will address key challenges in learning from distributed, privacy-sensitive, and dynamically evolving data. Depending on the candidate’s expertise and interests, the project can focus on algorithmic development, real-world applications, or fundamental mathematical foundations, drawing from areas such as optimization, probability theory, control, signal processing, and distributed computing.
The project is part of a vibrant academic community with a strong international network, offering opportunities for interdisciplinary collaboration, seminars, and scientific exchange within both academia and industry. In addition to a competitive salary and wellness benefits, the candidate is offered strong support for academic development, including funding for books, conference travel, and professional growth opportunities.
Deadline : 15.Apr.2025
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computer and Systems Sciences, with focus on developer roles for AI-enabled software development
AI, including machine learning (ML), deep learning (DL), and more recently, generative AI (GenAI), is set to transform software development by boosting productivity. AI is already being used for tasks traditionally handled by humans, such as generating and reviewing code, writing test cases, and creating technical documentation. While this shift offers exciting opportunities, it also raises important questions about the evolving roles and ways of working of engineers in software development. To make the best use of AI, we need to rethink and redefine the role of developer in a way that is both productive and sustainable. For example, in future with AI-enabled development, the role of developer might shift to prompt engineering. Similarly, in future the role of a developer would be more focused on optimizing and integrating the output of AI tools.
In this project, you will explore how AI is changing both the development process and the tasks of developers. Through theoretical and empirical research, you will investigate how software development is being transformed and develop theories and frameworks to support the novel ways of working in software development. As part of our dynamic research group, you will have access to cutting-edge facilities and may collaborate with industry partners.
Deadline : 15.Apr.2025
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD student in English with Specialisation in Linguistics
Research interests among our members of staff cover areas such as academic and professional uses of English, varieties of English, language variation and change, English as a lingua franca, and sociolinguistics.
Deadline : 15.Apr.2025
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD student in history of religions
The call is for a PhD position in the history of religions with open specialization. The candidate’s work will be conducted with the General study plan for PhD education in the history of religions.
Deadline : 15.Apr.2025
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD student in History of Ideas
The PhD student will pursue research within History of Ideas. We encourage applications that relate to descriptions of the subject area. See also the general study plan, which can be found on the website Doctoral studies in History of Ideas (in Swedish), and information about PhD studies at the Department.
Deadline : 15.Apr.2025
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Theatre Studies
The thesis work will be conducted within the framework of Theatre Studies. We especially encourage applications that relate to descriptions of the subject area. See also information about PhD studies at the Department.
Deadline : 15.Apr.2025
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Physics – 2D trapped Rydberg ion quantum simulator
The Trapped Ion Quantum Technology Group at Stockholm University invites applications for a highly motivated PhD student to join our pioneering research in quantum simulations with trapped Rydberg ions. The aim of the PhD project is to develop a 2D ion trap experiment for open system quantum simulations using Rydberg ions. This position is part of the ERC Synergy project “Open 2D Quantum Simulator (OPEN-2QS)”, which will start on 1 May 2025.
The OPEN-2QS project aims at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability. This will enable the simulation and study of phenomena such as novel states of matter like quantum glasses, molecular dynamics and quantum thermodynamics.
The PhD project is primarily experimental and will be carried out within the Trapped Ion Quantum Technology Group at Stockholm University. It will involve close collaboration with experimentalists and theoreticians at the Universities of Mainz and Tübingen.
We are looking for a highly motivated candidate with a strong interest in quantum physics, in particular quantum simulations, and a willingness to engage in both hands-on experimental work and theoretical discussions.
Deadline : 04.Apr.2025
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Physics – trapped ion quantum simulator for molecular dynamics modelling
The Trapped Ion Quantum Technology Group at Stockholm University invites applications for a highly motivated PhD student to join our pioneering research in quantum simulations with trapped Rydberg ions. The aim of the PhD project is to develop a quantum simulator for modeling molecular dynamics using our trapped Rydberg ion technology. This position is part of the ERC Synergy project “Open 2D Quantum Simulator (OPEN-2QS)”, which will start on 1 May 2025.
The OPEN-2QS project aims at developing a quantum simulator for open system quantum dynamics using trapped ions excited to Rydberg states. This novel approach features fast interactions combined with long-term stability. This will enable the simulation and study of phenomena such as novel states of matter like quantum glasses, molecular dynamics and quantum thermodynamics.
The PhD project is primarily experimental and will be carried out within the Trapped Ion Quantum Technology Group at Stockholm University. It will involve close collaboration with experimentalists and theoreticians at the Universities of Mainz and Tübingen.
We are looking for a highly motivated candidate with a strong interest in quantum physics, in particular quantum simulations, and a willingness to engage in both hands-on experimental work and theoretical discussions.
Deadline : 04.Apr.2025
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Psychology (C)
The impact of social context on improving intergroup relations. The recent increase in intergroup conflicts emphasizes the importance of finding ways to improve relations between members of adversary groups. Accordingly, social psychologists have developed evidence-based intergroup interventions aimed at improving intergroup attitudes and behaviours towards outgroups. Even though intervention effectiveness and outcomes depend on the context in which people live, most empirical research on intergroup interventions has ignored the impact of the social context. The overarching aim of this proposal is to systematically examine the influence of critical contextual features on effectiveness, processes and durability of intergroup interventions with a particular focus on the role of social norms.
The project will include large-scale longitudinal (online and field) experiments to be conducted in different European countries affected or threatened by conflict. Data will be gathered from representative, heterogenous and large samples to enable generalizability. Data will be analyzed using multi-level analyses, compared across different social contexts and over time. The overarching goal of this project is to identify effective intergroup interventions tailored to diverse social contexts, differing in both the type and intensity of relevant social norms. Required conditions for this position include: strong interest in intergroup relations, experience in designing and conducting large-scale online and/or field experiments (ideally with repeated-measures design), advanced statistical analyses, excellent English language skills, solution-focused and ambitious work style. The PhD candidate will work in close collaboration with an Advisory Board consisting of world-renowned scholars working on conflict resolution and intergroup reconciliation
Deadline : 01.Apr.2025
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Psychology (B)
Sleep and social connection. Sleep and social connection are both crucial for health and wellbeing. A combination of poor sleep and social disconnect is likely especially detrimental, but how they relate to each other is still unclear. Through several large studies, we aim to systematically explore this relationship. The studies will include questionnaires, experiments, and an intervention, in order to map out the mechanisms, directionality, and potential for improving both sleep and social connection.
The project will involve data collection, engaging with participants, ethics applications, questionnaire development, data management, and advanced statistical analysis. We are looking for a highly motivated, well-organized, driven, and enthusiastic person interested in research on sleep and social psychology. The candidate should have a high degree of independence but should also show a collaborative approach to research and be able to work productively in a team. Previous experience with data collection, participant interaction, data management, multivariate statistics, and programming is an advantage. As we are an international team, fluency in English (written and spoken) is a requirement.
Deadline : 01.Apr.2025
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Psychology (A)
The Role of Sleep in Social Settings. Sleep is important for many physiological and cognitive functions. Recently there has been an increased focus on the importance of sleep in social settings. If motivation and cognitive abilities are impaired with sleep loss, how does that affect our social interactions? And what consequences do these effects have?
The purpose of this project is to investigate how sleep and sleep loss affect people in different social settings. The main focus will be on communication and interaction between individuals in different situations, as well as the underlying mechanisms of potential impairments. We will use a variety of approaches, including questionnaires, lab-based experiments, field- and intervention studies, behavioural coding, momentary assessments, and physiological measures. Some of the data is already collected and some will be collected as part of the PhD.
For this position, we are looking for a highly motivated, well-organized, driven, and enthusiastic person interested in this area of research. The candidate should have a high degree of independence but should also show a collaborative approach to research and be able to work productively in a team. Previous experience with data collection, participant interaction, multivariate statistics, and programming is an advantage. As we are an international team, fluency in English (written and spoken) is a requirement.
Deadline : 01.Apr.2025
About Stockholm University, Sweden – Official Website
Stockholm University is a public university in Stockholm, Sweden, founded as a college in 1878, with university status since 1960. With over 33,000 students at four different faculties: law, humanities, social sciences, and natural sciences, it is one of the largest universities in Scandinavia. The institution is regarded as one of the top 100 universities in the world by the Academic Ranking of World Universities (ARWU).
Stockholm University was granted university status in 1960, making it the fourth oldest Swedish university. As with other public universities in Sweden, Stockholm University’s mission includes teaching and research anchored in society at large.
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