Karolinska Institute, 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 Karolinska Institute, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Cognitive Neuroscience of Aging with a focus on Neuroimaging- ERC Project DOPAGE
Would you like to contribute to understanding and potentially mitigating cognitive decline at older age? If so, we are seeking a highly motivated and skilled PhD student to join a recently ERC-funded project on the neural correlates of cognitive decline, based at the Aging Research Center (ARC) and Turku PET Centre. The project focuses on understanding age-related cognitive decline with particular emphasis on the dopaminergic system and its interaction with the noradrenergic system across the adult lifespan.
The successful candidate will contribute to a unique large-scale multimodal study involving PET imaging (three PET scans per individual), comprehensive MRI assessments, and an extensive cognitive test battery. This project provides a rare opportunity to work with rich, multimodal data collected from a lifespan sample of adults.
The PhD candidate will work under the primary supervision of Dr. Alireza Salami and collaborate closely with a multidisciplinary team. Key responsibilities include:
- Participating in the collection of PET, MRI, and cognitive data currently ongoing in Turku (Finland)
- Conducting quality control of neuroimaging data and performing statistical analyses
- Interpreting results and contributing to scientific publications in peer-reviewed journals
During the initial 12 (up to 18) months, the student will be based at the Turku PET Centre (Finland) to contribute to an ongoing large-scale data collection effort.
Deadline : 07.Jun.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD position in epigenetic and metabolic interplay
We are looking for a highly motivated and enthusiastic candidate with a strong interest in protein biology, genome engineering tools and single-cell multi-omic profiling tools to study subcellular protein distibution, genome regulation, and basal molecular mechanisms with a focus on glial cell biology.
Main responsibilities include:
- CRISPR-based genome/transcriptome/epigenome engineering and perturbation-screens
- Application of advanced single-cell multi-omic profiling technologies (incl Cut&Tag, ATAC-seq) iPSC cell culturing
- Proteomics
- Molecular cloning, Viral transduction, Flow cytometry, Microscopy, and other molecular technology tools
- Sharing insights via internal/international presentations and peer-reviewed publications
- Supervision of BSc and MSc Writing reports, manuscripts, and documentation
Deadline : 07.Jun.2026
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in adipocyte systems biology
We are seeking a highly motivated and ambitious PhD student to join our laboratory. The doctoral project will focus on understanding how post-transcriptional gene regulation shapes cellular identity and metabolic function in human white adipose tissue. In particular, the project aims to define how alternative polyadenylation (APA) regulates gene expression programs across adipose cell types and how these mechanisms contribute to metabolic health and disease.
Using state-of-the-art single-cell and single-nucleus RNA sequencing datasets, the student will first develop computational approaches to quantify APA dynamics and infer cell-state trajectories based on polyadenylation site usage. This includes building analytical frameworks to model transcript isoform selection and to reconstruct cellular transitions driven by post-transcriptional regulation. Building on these approaches, the student will generate an integrated atlas of APA across human adipose tissue, identifying cell-type-specific APA events and their alterations in response to metabolic stress such as obesity and weight loss.
Based on these findings, candidate regulators of APA will be identified and functionally tested in human adipocyte models. Using genetic perturbation approaches such as siRNA-mediated knockdown or CRISPR-based gene modulation, the student will assess how specific factors influence APA dynamics and downstream metabolic processes. Readouts will include 3′ RNA sequencing to quantify polyadenylation changes, as well as functional assays measuring adipocyte differentiation, lipid accumulation, and insulin-stimulated glucose uptake.
In this way, the project integrates large-scale computational analysis of single-cell omics data with mechanistic experiments in human adipocytes to directly link RNA processing to metabolic function. The student will receive broad training in bioinformatics, single-cell data analysis, and computational pipeline development, alongside experimental approaches including human cell culture, gene perturbation techniques, and metabolic phenotyping, and will work closely with an interdisciplinary network of collaborators in systems biology and RNA biology.
Deadline : 05.Jun.2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position cardiovascular epidemiology
The doctoral project aims to investigate how sleep and lifestyle factors influence the risk of cardiovascular disease, with a focus on differences between women and men, interactions between risk factors and underlying biological mechanisms. The project is based on large Swedish population-based cohorts linked to national health registers and includes both traditional epidemiological analyses (e.g., longitudinal cohort analyses) and advanced analyses of omics data, such as proteomics and metabolomics, as well as causal inference methods, including Mendelian randomization. The overall aim is to improve the understanding of risk factors for cardiovascular disease, with a particular focus on sleep, lifestyle factors and underlying biological mechanisms and to contribute to improved risk stratification and prevention strategies.
The successful candidate will work with the analysis of large-scale datasets and participate in the planning and execution of sub-studies. The work will include data harmonization and management, statistical analyses, interpretation of results, scientific writing and presentation of findings at seminars and national and international conferences. You are also expected to participate in doctoral courses and actively contribute to the research environment.
Deadline : 29.May.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in deep learning modeling of cancer
Cancer emerges from the accumulation of genetic and other alterations that reshape interconnected cellular networks and give rise to aberrant phenotypes. Cellular metabolism is highly dynamic in cancer and dysregulation of metabolism is considered a hallmark of tumorigenesis. While metabolism, signaling, and gene regulation are tightly interconnected, they have traditionally been studied using separate modeling frameworks. This limits our ability to understand how they interact, e.g. predict the metabolic effects of drugs that target cellular signaling.
In this PhD project, you will develop a unified, next-generation AI model of the cancer cell by integrating metabolism, signaling, and gene regulation into a single predictive framework. The work will involve designing biologically constrained deep learning models, using a novel architecture based on recurrent neural network (RNN)-based approaches, to capture how molecular states evolve and give rise to cellular phenotypes.
The project includes three main components:
- Model development: integrating modules of cellular subsystems to predict cellular states
- In silico target discovery: predicting metabolic vulnerabilities and prioritizing candidates for experimental validation
- Biomarker discovery: identifying molecular states associated with drug response across cancer contexts
You will work closely with our computational team and collaborators, and contribute to designing experiments guided by model predictions.
Deadline : 27.May.2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doktorandplats inom immunologi med inriktning mot inflammatoriska hudsjukdomar
Projektet syftar till att kartlägga mekanismer bakom T‑cellsdriven hudinflammation som utvecklas vid immunaktiverande cancerbehandling. Doktoranden förväntas aktivt delta i hela forskningskedjan, från hypotesformulering och experimentell design till analys, tolkning och publicering av resultat, samt det gemensamma säkerhets- och administrativa arbetet som krävs för att utföra projektet.
Arbetet omfattar laboratoriebaserade studier på humana prover, inkluderande flödescytometri, singel cell sekvensering av RNA, visualseringstekniker såsom konfokalmikroskipi och spatial transkriptomics, och funktionella analyser av primära celler, inkluderande syntetisk biologi i samarbete med bihandledare Wermeling. I samarbete med bihandledare Parlak kommer doktoranden involveras i utveckling och testning av biosensorer. Arbetet sker på Centrum för Molekylärmedicin på Karolinska Sjukhuset och en del av doktorandtjänsten är att aktivs delta i obligatoriska kurser, seminarier, journal clubs samt nationella och internationella vetenskapliga möten.
Deadline : 2026-05-27
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in normal and malignant hematopoiesis
The differentiation of hematopoietic stem cells into the various blood cell lineages has been described with high precision. However, the basophil differentiation trajectory has yet to be charted in detail. The mission of the doctoral student project is to map basophil differentiation in health and hematologic disease. This includes studies of how progenitor cell fate is regulated at the molecular level during differentiation, and investigations of how disease-associated genetic alterations affect hematopoiesis and basophil development.
Key technologies applied to primary samples from healthy subjects and patients with hematologic diseases include FACS sorting, flow cytometry-based analysis, CRISPR-based gene editing, cell culture and cell fate assays, cytochemical staining, and single-cell omics technologies, including transcriptomics and surface epitope profiling. The research is performed in an interdisciplinary setting, with both experimental and computational scientists. It also includes collaborations with clinical departments as well as national and international research groups.
The main focus of the doctoral studies is experimental research, though the doctoral student will also be involved in omics data analysis performed together with bioinformaticians and applied mathematicians in the group. Additional duties include participation in daily routines of the research group and the division, such as shared laboratory tasks, administration, and supervision.
Deadline : 27.May.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral position in precision cancer immunotherapy
This PhD project explores how natural killer (NK) cells contribute to immune surveillance in solid cancers. Using a combination of patient data, experimental model systems, and modern imaging and computational approaches, the project aims to understand when and how NK cells can effectively target tumor cells, and how this response might be enhanced for future therapies.
As a doctoral student, you will receive broad training in cancer immunology and translational research. You will work with patient samples, public datasets, and experimental models, gaining hands-on experience in laboratory methods as well as data analysis. The PhD education also includes coursework, active participation in the research environment, scientific writing, and teaching or supervision of junior students.
Over time, you are expected to develop increasing independence, critical thinking skills, and a strong foundation for a future career in academic or translational cancer research.
Deadline : 26.May.2026
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in malaria immunology and pathogenesis
The aim of this PhD project is to increase our understanding of the mechanisms influencing clinical outcomes in malaria infections. The project focuses on identifying immune responses and biomarkers associated with disease severity in malaria. As a PhD student, you will perform all stages of the project, including data and sample collection in close collaboration with the clinic, sample handling, experimental work and data analyses. You will develop original research ideas, plan and perform experimental lab work, analyze data, write scientific articles and present scientific results.
Deadline : 25.May.2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in intestinal mucosal immunology
The project will investigate how diverse mucus-producing cell populations shape mucus properties, and how changes in their composition influence mucus function through the regulation of post-translational modifications of mucus proteins. Intestinal infection models will be used as systems in which goblet cell composition and mucus function are altered.
The doctoral student will use single-cell RNA sequencing (scRNA-seq) approaches to characterize goblet cell populations, combined with ex vivo mucus analysis platforms to link cellular composition to function. In addition, the student will apply mass spectrometry-based approaches to study post-translational modifications and validate findings using biochemical analyses.
The project includes experimental work in animal models, and the doctoral student will be responsible for performing infection experiments, including handling and propagation of relevant bacterial or parasitic organisms, as well as monitoring disease progression. Some of these activities may require flexibility in working hours, including work outside standard hours or during weekends.
The doctoral student is expected to drive their project forward with increasing independence, while actively engaging with the research group. Collaboration within the team and contribution to the overall lab environment are important parts of the role.
Deadline : 22.May.2026
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in Cardiovascular Epidemiology
Completing a doctoral education involves dedicating yourself to a research project under the guidance of a group of experienced researchers and following an individual study plan. The research work includes scientific writing and oral presentations of research results in various contexts. The doctoral student also participates in courses and writes a thesis. After completing their doctoral education at Karolinska Institutet, the student is expected to have developed advanced knowledge in medical science, scientific methodology and cutting-edge expertise in a specific research area. For this project, the student will use research tools in epidemiology and biostatistics to investigate the prevalence of menopausal symptoms and pharmacological treatment with estrogen supplementation in relation to the risk of future chronic disease, as well as cardiovascular risk. The work in the project will be characterized by collaboration with colleagues within and outside Karolinska Institutet. During the doctoral period, the doctoral student is expected to contribute, to some extent, to teaching in epidemiology and other public health-related subjects.
Deadline : 20.May.2026
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in biostatistics
This PhD project combines the development of novel statistical methodology, statistical program development and applied research in population‑based cancer patient survival. This project will develop a variety of statistical methods for survival analysis for use with population-based cancer registry data. The project will extend the group’s work on reference adjusted survival using both non-parametric and model based approaches with the aim of better quantifying and understanding differences in survival between population groups. The project will use cancer registry data from Sweden and other Nordic countries. The project will involve statistical software development in Stata.
Throughout the doctoral programme, the candidate will gain expertise in a broad range of statistical and epidemiological methods, including survival analysis, causal inference, flexible parametric survival modelling, federated analysis and simulation studies.
The successful applicant will be supervised by Paul Lambert (Guest Professor in Biostatistics at MEB). Co-supervisors will be Therese Andersson (Senior Lecturer in Biostatistics at MEB) and Tor Åge Myklebust (Senior researcher at the Cancer Registry of Norway).
We are looking for a highly motivated PhD student with a strong background in biostatistics, statistics, or mathematical statistics. The successful candidate is expected to take a leading role throughout the research project, with support from the supervisors. This includes the development of statistical methodology and statistical software, data processing and analysis, taking relevant courses, and participating in departmental seminars and international conferences.
Deadline : 19.May.2026
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in geriatric trauma
The project focuses on how trauma systems respond to injured older patients in Sweden. Using data from the Swedish Trauma Registry and linked national registers, the project examines age-associated differences in triage, treatment intensity and short-term outcomes after trauma. The doctoral student is expected to contribute to data management, statistical analysis, interpretation of results and manuscript preparation, as well as to participate in research seminars, doctoral courses and the scientific activities of the research group.
Deadline : 19.May.2026
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Data-Driven Precision Medicine and Diagnostics (DDLS Program)
We are announcing a position as a DDLS PhD student in data-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics covers data integration, analysis, visualization, and data interpretation for patient stratification, discovery of biomarkers for disease risks, diagnosis, drug response and monitoring of health. The precision medicine research is expected to make use of existing strong assets in Sweden and abroad, such as molecular data (e.g. omics), imaging, electronic healthcare records, longitudinal patient and population registries and biobanks.
CLL is clinically heterogeneous, and predicting disease progression and therapy response remains a major challenge. Despite advances in targeted therapies (e.g., BTK and BCL2 inhibitors), resistance still develops and cannot always be explained by known driver mutations. This creates an urgent need for integrated molecular models that reveal new biomarkers, subtypes, and resistance mechanisms.
This PhD project aims to develop and apply integrative multi-omics and AI-based computational methods to:
- Identify novel molecular subtypes of CLL
- Discover biomarkers associated with progression and treatment response
- Unravel regulatory and causal mechanisms underlying therapy resistance
- Integrate high-dimensional omics data with knowledge graphs, clinical information, and external datasets to generate testable biological hypotheses
Deadline : 18.May.2026
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in data-driven precision medicine within epidemiology and dementia
We seek a highly motivated PhD student for the DDLS project “Blood-based biomarkers and molecular changes in preclinical dementia”, with a focus on improving early detection and differentiation between dementia subtypes. The doctoral student will work with longitudinal data from two unique Swedish longitudinal cohorts, SATSA and Betula, integrating established dementia biomarkers with inflammatory, metabolic, and genetic data using advanced statistical modeling and data-driven methods. The doctoral student will be expected to lead and contribute to research studies within this framework, including data management, statistical analyses, and dissemination of findings through scientific publications and presentations. During the PhD, the student will complete doctoral courses at Karolinska Institutet and within the DDLS Research School and actively participate in seminars and other research activities, in accordance with doctoral education requirements. They will develop expertise in dementia and biomarker research, alongside advanced training in statistical modelling, epidemiological methods, and data-driven life science and precision medicine.
Deadline : 18.May.2026
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in image-enabled surveillance of leukemic stem cells
The prevailing concept for sustained malignant hematopoiesis is the dependence on continuous replenishment from leukemic stem cells. According to this model, elimination of leukemic stem cells is both required and potentially sufficient to achieve a cure. However, the cellular identity of leukemic stem cells remains poorly defined as we currently lack markers that distinguish them from normal hematopoietic stem cells, and leukemic cells without stem cell potential. The student will investigate new strategies that incorporates cellular morphology together with cell surface antigen expression patterns to characterize hematopoietic stem and progenitor cells in healthy individuals and patients with leukemia.
To address this, the student will learn to employ a combination of image-enabled flow cytometry (to isolate and investigate distinct hematopoietic stem and progenitor cells), mouse models, advanced in vivo and in vitro cell and molecular biology techniques, and general data analysis.
The applicant is expected to have prior hands-on experience with advanced and image-enabled flow cytometry to characterize distinct hematopoietic stem and progenitor cells, as well as mature blood cell lineages, and approval for work with mice. Prior experience with genetic modification of hematopoietic stem and progenitor cells will also be relevant for the project. The student is expected to develop into an independent scientist whom can play a leading role in the elaboration of scientific hypothesis, experimental design, data analysis and presentation/publication of the research.
Deadline : 15.May.2026
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student position in mechanism investigation and new treatment development for Alzheimer disease
This doctoral project aims to investigate tau degradation mechanisms and develop small molecules promoting tau degradation. This project includes the exploration of tau-targeting E3 ligases mainly in primary neurons, establishment of in vitro assays to screen compound libraries for monitoring ternary complexes, and the evaluation of compound effects in cell and animal models.
The doctoral student is expected to actively contribute to the project and take on greater responsibility by transitioning from guided and collaborative research to more self-directed study and independent research. The doctoral education will include training in neuroscience, cell and molecular biology, bioinformatics, molecular and cellular methods, animal experiments, data analysis, scientific writing, presentation, and critical thinking.
The student is expected to actively participate in the research environment, including group meetings, departmental seminars, and relevant national and international conferences. Responsibilities also include presenting results, manuscript preparation, participating in the supervision of junior students where appropriate, and engaging in routine lab and other activities. In addition, the student will complete the formal coursework required for the doctoral degree according to the regulations of Karolinska Institutet.
Deadline : 15.May.2026
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) Student Position in Clinical Neuroscience
We offer a unique opportunity for doctoral training by integrating experimental neuroimaging, psychophysiology, advanced computational modeling, and psychological treatment of common psychiatric conditions such as depression and anxiety. The project may provide novel insights into the neural dynamics underlying the emergence and reduction of anxiety and depression during ongoing treatment. Ultimately, the research aims to deepen our understanding of biological processes and subjective experiences in order to improve psychiatric treatments.
The doctoral student will contribute to the planning and execution of research studies, including data collection, which may involve evening and weekend work. The role also includes advanced data analysis and active participation in the writing of scientific articles, as well as the presentation of research findings within and beyond the academic community.
Deadline : 14.May.2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Doktorandplats – Forskning om att främja välbefinnande och balans i vardagen hos föräldrar till barn och ungdomar med ätstörningar
Doktoranden kommer att arbeta med projektet “Att främja välbefinnande hos föräldrar till barn och ungdomar med ätstörningar genom en aktiv och balanserad vardag ”. Syftet med forskningsprojektet är att utveckla och utvärdera ett evidensbaserat interventionsprogram som främjar hälsa och välbefinnande hos föräldrar till barn och ungdomar med ätstörningar, genom att stödja en aktiv och balanserad vardag. Projektet har stor relevans och betydelse för att adressera en viktig kunskapslucka inom ätstörningsvården genom att sätta fokus på föräldrars hälsa och vardagsfungerande. Resultaten förväntas bidra till hälsofrämjande kliniska arbetssätt, informera nationella riktlinjer och stödja en hållbar hälso- och sjukvård genom att förebygga ohälsa hos omsorgsgivare och minska långsiktiga vårdbehov. Projektet har även stor betydelse för utbildningsprogram som berör psykisk ohälsa, då den kunskap som genereras bidrar till att stärka det hälsofrämjande och förebyggande perspektivet i undervisningen. Doktoranden kommer dessutom att vara aktivt involverad i utbildningsmoment baserat på projektets resultat.
Under doktorandutbildningen får du möjlighet att fördjupa dina kunskaper och förståelse inom forskningsområdet aktivitetsbalans, psykisk ohälsa och hälsofrämjande insatser för föräldrar till barn och ungdomar med ätstörningar, samt teknikanvändning och e‑hälsa. I projektet används en kombination av kvalitativa och kvantitativa forskningsmetoder, samskapande forskningsprocesser och komplex interventionsforskning, vilket ger dig möjlighet att utveckla bred metodologisk kompetens. Du utvecklar samtidigt färdigheter i samarbete, samverkan och projektledning genom att delta i projektets olika faser och använda relevanta teorier såsom aktivitetsvetenskap och interventionsteori. Under utbildningen skriver du vetenskapliga artiklar, presenterar forskningsresultat och deltar i kurser och aktiviteter vid Karolinska Institutet. Du kommer även att vara involverad i undervisning, bland annat genom att bidra i kursmoment och utveckla undervisningsmaterial baserat på projektets resultat.
Deadline : 2026-05-14
(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Bioinformatics: Clinical Breast Cancer Proteomics
We seek a highly motivated PhD student in bioinformatics with an interest in breast cancer omics data analysis of clinical cohorts characterized by mass spectrometry-based proteomics. The project will involve integrative and translational analysis of multiple levels of omics data derived from breast cancer cohorts spanning multiple subtypes, with a particular focus on triple-negative breast cancer (TNBC). The work includes both applying established data analysis pipelines and developing new computational strategies for the analysis of quantitative biological data. Analyses will be validated using public domain data.
The position requires solid interest and curiosity to learn proteomics data analysis, as well as communication skills and a willingness to work in a team environment. This position offers excellent opportunities for innovative research in proteomics data processing and analysis together with a dedicated group of scientists.
Deadline : 13.May.2026
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in spatial transcriptomics, bioinformatics, and cancer immunology as part of the national DDLS PhD program
In this PhD project, the student will use and develop new tools for multimodal data to study spatial immune cell niches in cancer. Advances in high-throughput spatial omics technologies measuring various analytes now capture this complexity in remarkable detail, providing groundbreaking insights into how molecular relations shape health and disease in tissues. Yet, analytical tools capable of integrating multi-dimensional spatial data remain limited.
The project objectives are to
(i) develop tools for and perform integration of modalities with varying dynamic range, sparseness and non-linear behavior,
(ii) establish discovery methods for multicellular immune niches,
(iii) follow B-cell clonal evolution across the molecular landscape to understand the ‘interactome’ niche to resolve candidate tumor-associated antigens.
Importantly, the student will access already collected datasets, a synergized and complementary supervision team, and a dynamic cutting-edge spatial biology environment, making them well suited to computationally integrate B and T cell lineages alongside their transcriptional and metabolic niches in breast cancer, the most common type of cancer. The clinical need is significant, and the approach presented here-in represents an avenue for data-driven disease detection and surveillance.
Deadline : 13.May.2026
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD in geriatric epidemiology
The overarching objective of this doctoral project is to investigate the association between exposure to particulate matter (PM₂.₅, PM₁₀), nitrogen dioxide (NO₂), and environmental noise (road, railway, aircraft) and the risk of dementia, using rich data from the National E-infrastructure for Aging Research (NEAR), encompassing several population-based longitudinal cohorts in Sweden. These cohorts provide access to extensive clinical, environmental, lifestyle, and biomarker data, enabling a comprehensive epidemiological analysis of modifiable environmental risk factors.
The selected candidate will conduct independent research in close collaboration with supervisors and the broader research group. Duties include harmonizing and managing large datasets, performing geospatial exposure assessments, and applying advanced statistical models to assess risk associations and potential causal pathways. The doctoral student will also examine moderators (e.g., psychosocial resilience, genetic susceptibility) and mediators (e.g., cardiovascular health, inflammation) to unravel mechanisms underlying the environmental-dementia link.
The student is expected to contribute to the development of specific research questions, conduct high-quality data analyses, and actively participate in the dissemination of results through publications and scientific presentations. The student will take part in doctoral courses and scientific activities at ARC and Karolinska Institutet and is encouraged to engage with international collaborators in environmental and aging research.
Deadline : 12.May.2026
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in reproductive epidemiology
The doctoral project is embedded within the larger ‘OffTheCharts’ research programme, which aims to address inequalities in maternal and fetal health among migrant gravidas by generating clinically relevant evidence using Swedish nationwide registry data. The project combines epidemiological evaluation of clinical standards with modern predictive modelling to assess and improve clinical tools in diverse populations. The doctoral student will be expected to lead and contribute to multiple research studies within this framework, including data management, statistical analyses, and dissemination of findings through scientific publications and presentations. Over the course of the PhD, the student will develop expertise in perinatal epidemiology and register-based research, alongside advanced training in statistical modelling, epidemiological methods, and the ethical considerations of population-based research.
Deadline : 12.May.2026
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD position in thymic derived anti-cancer immunity
This doctoral project focuses on immune regeneration and the production of new T cells in the context of cancer and tissue injury. In particular, the project will investigate how thymic regeneration shapes the quantity and quality of newly generated T cells, including recent thymic emigrants, and how these cells contribute to anti-tumor immunity.
The doctoral student will study mechanisms of T-cell egress and their immune function using experimental models of thymic injury, regeneration, and cancer. The work will involve immunophenotyping, functional assays, molecular analyses, and may also include the analysis of human samples and high-dimensional datasets such as single-cell and spatial transcriptomic data.
The doctoral student is expected to:
- plan, perform, and analyze experiments independently and in collaboration with other group members
- interpret and present scientific data at group meetings and research seminars
- contribute to manuscript writing and publication of results in peer-reviewed journals
- participate in courses and other activities within the doctoral education program
- help maintain a collaborative and rigorous research environment
- Have fun and be excited about science
This project is suitable for candidates who are motivated by combining fundamental immunology with translational questions relevant to cancer, immune deficiency, and regenerative medicine.
Deadline : 11.May.2026
(25) PhD Degree – Fully Funded
PhD position summary/title: Doktorandplats inom klinisk epidemiologi
Det övergripande målet för doktorandprojektet är att undersöka sambandet mellan kvinnors reproduktiva hälsa under graviditet och postpartumperioden och senare risk för kardiovaskulär sjukdom över livsloppet. Projektet fokuserar särskilt på graviditetskomplikationer som tidiga markörer för framtida hjärt-kärlsjukdom, samt hur samsjuklighet och socioekonomiska faktorer påverkar dessa riskförlopp.
Doktoranden kommer att arbeta med flera sammanhängande, storskaliga registerbaserade studier baserade på svenska nationella register. Arbetet omfattar planering av studier, datahantering och analys, samt tolkning och presentation av resultat i vetenskapliga publikationer.
Som doktorand kommer du att få utbildning i avancerade epidemiologiska metoder, inklusive kausal inferens, samt praktisk erfarenhet av arbete med stora registerdatabaser och registerlänkning. Du kommer att arbeta i nära samarbete med handledare och andra forskare inom forskargruppen, samt bidra aktivt till den vetenskapliga miljön genom deltagande i seminarier och journal clubs.
Projektet bedrivs i en internationell forskningsmiljö och inkluderar samarbete med forskare i Australien, vilket ger goda möjligheter till internationellt erfarenhetsutbyte.
Deadline : 2026-05-11
About The Karolinska Institute, Sweden – Official Website
The Karolinska Institute sometimes known as the (Royal) Caroline Institute in English is a research-led medical university in Solna within the Stockholm urban area of Sweden. The Nobel Assembly at the Karolinska Institute awards the Nobel Prize in Physiology or Medicine. The assembly consists of fifty professors from various medical disciplines at the university. The current rector of Karolinska Institute is Ole Petter Ottersen, who took office in August 2017.
The Karolinska Institute was founded in 1810 on the island of Kungsholmen on the west side of Stockholm; the main campus was relocated decades later to Solna, just outside Stockholm. A second campus was established more recently in Flemingsberg, Huddinge, south of Stockholm.
The Karolinska Institute is Sweden’s third oldest medical school, after Uppsala University (founded in 1477) and Lund University (founded in 1666). It is one of Sweden’s largest centres for training and research, accounting for 30% of the medical training and more than 40% of all academic medical and life science research conducted in Sweden.
The Karolinska University Hospital, located in Solna and Huddinge, is associated with the university as a research and teaching hospital. Together they form an academic health science centre. While most of the medical programs are taught in Swedish, the bulk of the PhD projects are conducted in English. The institute’s name is a reference to the Caroleans.
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