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 position – Risk factors and characteristics of late onset psychosis
We offer an opportunity for a highly motivated and skilled PhD student to significantly contribute to cutting-edge research in understanding the foundations of psychosis. Most people who develop schizophrenia and other psychotic disorders receive a diagnosis in their late teens or early adulthood. However, a sizable proportion are diagnosed in mid-life or later. This doctoral project aims to identify the clinical and demographic features of the late onset psychosis population, the associated environmental and genetic risk factors, and blood-derived biomarkers related to late onset psychosis. All of the studies will involve analyses of existing data, and no bench lab work will be conducted.
The incoming student will be part of the KI-NIH doctoral program, in which students divide their time and research efforts between Karolinska Institute and the National Institutes of Health in Bethesda, Maryland (USA). For this project, the doctoral student will be jointly supervised by Sarah Bergen and Paul Lichtenstein at KI and Kathleen Merikangas at the NIH.
Doctoral students are expected to take a leading role in the entire research process under the supervision of their PhD supervisors. Through participating in study design, data processing and analysis, interpretation and communication of findings, taking relevant courses and participating in seminars and journal clubs, the student is expected to accomplish the doctoral thesis project and grow into an independent researcher by the end of their studies.
Deadline : 31.May.2024
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student position in digital pathology
At the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, we are looking to fill the position as PhD student in data-driven life science.
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 health care records, longitudinal patient and population registries and biobanks.
The work aims at improving prostate cancer care by developing artificial intelligence techniques for digital pathology data. The biopsy Gleason grading system is the most important prognostic marker for prostate cancer but suffers from significant inter-observer variability, limiting its usefulness for individual patients. The Gleason grade is determined by pathologists based on the microscopical growth patterns of the tumor visible in tissue specimens and forms the basis for treatment decisions.
Automated deep learning systems have shown promise in accurately grading prostate cancer. We recently published results in the leading medical journal the Lancet Oncology showing that systems based on convolutional neural networks can achieve expert pathologist-level performance. We are now looking for a doctoral student with an interest in image analysis, digital pathology and deep learning to continue this work with respect to both technical methods development and towards prospective validations in clinical trials.
Deadline : 20.May.2024
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in Molecular Epidemiology with application in Precision Health
At the Department of Medical Epidemiology and Biostatistics at Karolinska Institutet, we are looking to fill the position as PhD student in data-driven life science.
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 health care records, longitudinal patient and population registries and biobanks.
In this PhD project, we will use proteomic and genetic data from various cohorts to predict health risks. We aim to create organ-specific aging clocks from different proteomic platforms within the TwinGene cohort. These clocks will be explored using protein quantitative trait loci (pQTL), with the ultimate goal of identifying new genetic loci related to biological aging and enabling individualized risk assessments in Swedish cohorts.
Deadline : 20.May.2024
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in autoimmune neurology
We are looking for a collaborative student with a keen interest in exploring human neuroimmunology. We are a team of clinically oriented researchers focusing on the immunology underpinning autoimmune encephalitis. The etiology of this group of disorders is only just starting to be unraveled. Furthermore, the immune system of the human brain has been comparatively little studied. Answering both fundamental and clinical questions in this realm is the focus of the Theorell team. You will find our team and the wider Mjösberg group an optimal place to grow and drive outstandingly important research with both short- and long-term clinical impact.
Deadline : 14.May.2024
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD position in psychiatric epidemiology
Individuals who meet diagnostic criteria for one psychiatric disorder also tend to meet criteria for other disorders (i.e., comorbidity). This highlights that it is often unclear whether associations with covariates can be attributed to the unique part of a psychiatric condition versus that which it shares with all other conditions.
Psychiatric comorbidity can be accounted for by a hierarchical model that consists of one general factor of psychopathology (sometimes labeled p), in addition to several specific factors. The general factor captures variation shared by all conditions, whereas the specific factors capture unique variation shared by only a subset of conditions (e.g., an internalizing factor that captures variation unique to depression and anxiety).
Previous research has demonstrated that the hierarchical model predicts clinically relevant outcomes (e.g., suicide, overdoses, criminality, etc.), indicating that it provides useful information when formulating management plans and predicting prognoses. Research also indicates that these associations tend to remain within sibling- and twin pairs. This might indicate that treatment of hierarchical factors could lower the risk of future outcomes.
The goal of this project is to apply multivariate statistics and quasi-causal designs to examine whether various interventions might be causally linked to lower scores on factors in hierarchical models of psychopathology. The PhD student is expected to lead and complete four projects on this topic under the supervision and guidance of supervisors.
Deadline : 14.May.2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in Neurometabolism
The project is part of an ERC starting grant and focuses on the identification and characterization of the brain circuits controlling body weight. The student will learn viral-based tracing techniques, and to image and control neuronal activity using photometry and opto- and chemo-genetics approaches. The project also includes RNA sequencing of peripheral organs and single-cell sequencing of selected neuronal populations.
The candidate’s duties are to spearhead this project, learn to plan experiments independently and collect and analyze data. The student will have the possibility to collaborate on other projects, led by team members. Round tables and lab meetings will be held weekly to discuss science and problem-solving. The student will take part in these meetings and present data twice per semester.
Deadline : 10.May.2024
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate investigating the effects of algorithmic management on health, safety and wellbeing
The doctoral student will work within the larger research programme ALGOSH: Algorithmic management at work – challenges, opportunities and strategies for occupational safety and health and well-being.
In ALGOSH, the doctoral student will work in an international consortium of top researchers from Sweden, Finland, Canada, the USA, Spain and Australia, and have the opportunity to learn from and collaborate with other similar ongoing research projects.
The PhD project will be based on a longitudinal mixed-methods case study in the transport sector and a cross-sectional national survey with focus on three sectors with high exposures of algorithmic management. Under supervision, the doctoral student will learn and be responsible for collecting, analysing, interpreting and presenting both qualitative and qualitative data from the studies. The results of this doctoral research will be presented at conferences and in scientific publications.
Deadline : 08.May.2024
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Cell & Molecular Biology: Protein Inheritance & Aging
This project aims to uncover the principles of protein inheritance and its impact on aging and rejuvenation. We will utilize budding yeast as a model organism to investigate how cells asymmetrically inherit proteins during division, a process crucial for cellular development and health. By systematically mapping the complete proteome of yeast, we aim to identify proteins with asymmetric inheritance and elucidate the mechanisms underlying this phenomenon.
Furthermore, we will explore the implications of our findings for human health, especially regarding cardiometabolic diseases using innovative mouse models as well as organotypic in vitro systems. By translating our insights from yeast to humans, we aim to uncover potential links between protein inheritance, aging-related changes, and cardiometabolic pathologies.
As a doctoral student, you will play a central role in the research process, from study design to data analysis and interpretation. Through active participation in coursework, seminars, and journal clubs, you will develop into an independent researcher capable of completing a doctoral thesis project.
Deadline : 06.May.2024
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in DNA-based digital data storage
Current technologies for long term data storage do not provide a sustainable way to store the increasing amount of data generated in the world therefore new approaches need to be developed. One of the candidates for alternative data storage medium holding a lot of promise is DNA as, if the technology gets fully realized, it offers several advantages: high storage density, exceptional stability on long timescales among other things. However, DNA-based information storage technologies in their current form mostly provide cold-storage solutions with limited real-life applicability. We are looking for a PhD student that would join our team to help us in improving current manifestations of DNA-based data storage in terms of data stability and dynamic data operability in vitro and in vivo as part of the Dura-store project (https://durastore.eu), participating in the European Innovation Council’s Pathfinder Challenge for DNA-based digital data storage. As a doctoral student, you are expected to take a leading role in your research project under the supervision of your PhD supervisors, taking an active part in study design, data generation, processing and communicating the results. You are also expected to complete the doctoral education through taking relevant courses and completing the doctoral thesis project and in the process become an independent researcher by the end of the study.
Deadline : 05.May.2024
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Celiac disease
The Department of Medical Epidemiology and Biostatistics conducts research in epidemiology and biostatistics across a broad range of areas within biomedical science. The department is among the largest of its type in Europe and has especially strong research profiles in psychiatric, cancer, reproductive, pediatric, pharmaco, genetic, and geriatric epidemiology, eating disorders, precision medicine, and biostatistics.
Part of the success of our department is due to our collaborative spirit where one factor is that researchers at the Department share and co-finance common resources (e.g., IT and an applied biostatistics group). The department is situated at campus Solna. Further information can be found at http://ki.se/en/meb
Deadline : 03.May.2024
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in single-cell analyses of splicing in the brain
This doctoral research project is KID-funded and focuses on decoding how alternative splicing is used to functionally diversify neurons of the mouse and human brain, and how splicing of synaptic proteins influences synaptic connectivity and function. We have ongoing collaboration with Allen Brain Institute and Harvard University to generate a systematic dataset on mouse brain development that will reveal when and how cell-types establish cell-type specific splicing patterns, and to what extent those are maintained to the adult stage.
The successful applicant will be responsible for operating a highly automated molecular biology setup for single-cell genomics, including FACS sorting cells, supervising the robotic infrastructure, sequencing the libraries on in-house sequencing machines, processing of sequencing data, including running the computational tools in the lab for systematic de novo capturing of splicing patterns and mapping to cell types. We are also exploring how deep learning models can aid the deciphering of RNA-binding protein codes that control cell-type specific splicing.
Deadline : 02.May.2024
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD position in experimental infection immunology
We are looking for an engaged person that will be enrolled in a project aiming at understanding long-term effect of infections on the host. This entails work with infectious organisms, research animals, cell cultures, and the use of various methods to measure immune functions. Other responsibilities include development of methodology and work routines, literature review, statistical analysis, adhering to the lab policies, assisting with administrative tasks and drafting scientific reports and manuscripts linked to the project. Moreover the student is expected to prepare scientific presentations linked to the project.
This PhD project aim to equip the student with a broad knowledge base in infection biology, immunology, and tissue pathology. The candidate will develop a profound understanding of experimental in vivo, ex vivo, and in vitro techniques, as well as the skills to plan, design, conduct, and evaluate experimental studies.
Deadline : 01.May.2024
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in Early human embryo development
This project focuses on understanding how the embryo is regulated around and following implantation in the uterine wall. We will use advanced multiomics single-cell technologies, stem cell-based embryo models and donated human embryos. The project will characterize, and functionally test, how the early embryo is regulated with studies at genetic, epigenetic and protein levels.
Deadline : 30.Apr.2024
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in perinatal epidemiology
The research project PhD students are expected to take a leading role in the entire research process under the guidance of their PhD supervisors. By participating in study design, data processing and analysis, interpretation and communication of results, taking relevant courses and participating in seminars and journal clubs, the student is expected to complete the doctoral dissertation project and grow into an independent researcher at the end of their studies The student will be a part of a research project that will explore the effect on birth experience and maternal and neonatal outcomes of a midwife continuity of care model on women with psychosocial vulnerabilities.
Deadline : 29.Apr.2024
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral (PhD) student position in implementation science in adolescent global health
The aim of this thesis project is to contribute to an implementation and evaluation project of an on sustainable adolescent nutrition intervention for primary prevent of obesity and other related non-communicable diseases in Burkina Faso, Kenya, and Tanzania. There are four main intervention strategies: urban farming, sustainable health education modules, health counseling, and a mass media campaign. The project will focus on implementation science methodologies and principles of health promotion in Global Health. Project studies and activities will involve close collaboration with international partners.
The main aspects of the project that the PhD student will be involved in are conducting stakeholder analysis, supporting the co-design of the intervention components, examining factors impacting adolescent’s food environments, and conduct a health economic analysis of the intervention.
For the project the doctoral student will be expected to contribute to study designs, assist with overall project coordination, support and conduct primary data collect, carry out quantitative and qualitative analyses, and interpret and present results. As a PhD student, you will also participate in the activities of the research group, as well as participating in PhD courses based on the student syllabus and individual study plan.
Deadline : 29.Apr.2024
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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