Lund University, Scania, 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 Lund University, Scania, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral students in Music, Malmö Academy of Music, 2 positions
Experimental music drama is here understood as interdisciplinary performing arts practices in which music functions as a primary dramaturgical and compositional force. This area includes, but is not limited to, opera, music theatre, composed theatre, radiophonic and acousmatic forms, as well as hybrid stage-based or mediated formats.
The doctoral projects shall have an experimental and exploratory orientation, aiming to critically examine and further develop artistic processes, forms of expression, and performance practices within this area. Artistic practice shall constitute the primary point of departure for the research. Projects may engage with and critically explore technologies such as live electronics, sound processing, interactive technologies, and visual media, both as means of artistic expression and as integral components of artistic research processes.
The doctoral project shall:
· be rooted in the applicant’s own artistic practice,
· articulate research questions that can be explored through artistic experimentation, iterative processes, and critical reflection,
· be anchored in relevant theoretical and methodological perspectives,
· be feasible within the framework of four years of full-time doctoral studies, and
· constitute a substantial and original contribution to the development of artistic research in music.
The expected outcome is a thematically coherent body of artistic work, accompanied by appropriate documentation and reflective components demonstrating research-oriented artistic practice.
Deadline : 03.Jun.2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in deep-learning based image analysis for RNA Therapeutics
Data-Driven Life Science (DDLS) uses data, computational methods, and artificial intelligence to study biological systems and processes at all levels, from molecular structures and cellular processes to human health and global ecosystems. The SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) aims to recruit and train the next generation of data-driven life scientists and to establish globally leading computational and data science capabilities in Sweden. The program is funded with a total of SEK 3.3 billion over 12 years by the Knut and Alice Wallenberg Foundation (KAW).
In 2026, the DDLS Research School will be expanded through the recruitment of 25 academic and 7 industrial PhD students. Over the course of the DDLS program, more than 260 PhD students and 200 postdoctoral researchers will be part of the Research School. The DDLS program comprises four strategic research areas: cell and molecular biology; evolution and biodiversity; precision medicine and diagnostics; and epidemiology and biology of infection.
Deadline : 03.Jun.2026
View All Fully Funded PhD Positions Click Here
(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biology, with a specialisation in bird migration
Twice a year billions of birds track the seasonal pulse of the earth and move between breeding sites and wintering sites. Successfully migrating between remote areas is a delicate process where birds must navigate a series of novel environments, and carefully time their journeys based on both environmental and internal cues. So, it’s no surprise that migration is a perilous time, when birds are particularly exposed to disruptions of different kinds. In this project you will use data from the European weather radar network to investigate how different disruptors can affect large scale flows of nocturnal migrants. The overall goal is to test if potential disruptors have detectable effects on the flow of nocturnal migration. The results will answer important fundamental questions about how robust animal migration is to different types of disruptors, enabling us to better understand the evolutionary pressures that have shaped animal migration, and how these pressures will interact with our changing world in the future.
Deadline : 01.Jun.2026
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electrical Engineering focusing on Computer Security
The primary duties of the doctoral student position are to perform research and teaching within the computer security area. The research is devoted to researching security for dynamic resource allocation in next-generation mobile networks. Dynamic task execution in future networks will require careful verification of target resources and new principles and protocols for execution target verification are needed. In addition, different protected execution environments for dynamic execution, such as Intel TDX and AMD SEV, have different isolation properties and side channel risks. Side channel attacks on dynamically allocated confidential tasks are within the research scope of the positions. Furthermore, the resource allocation functions can be subject to attacks, and identifying attacks and countermeasures is expected to be studied. The research method will be a combination of system studies, simulations, and experimental research. The research project is a collaboration with Linköping University.
Deadline : 28.May.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Breast Cancer Research
The position includes experimental research on synonymous genetic variants in genes associated with hereditary breast cancer and alternative splicing of mRNA in breast cancer.
In addition, the doctoral student is expected to deepen their knowledge in the field, both in terms of theory and experimental methods, as well as to plan experiments, analyze and interpret research results with support from supervisor. The role also includes oral and written presentation of the research, for example in seminars, conferences, and scientific publications.
Deadline : 21.May.2026
Polite Follow-Up Email to Professor : When and How You should Write
Click here to know “How to write a Postdoc Job Application or Email”
(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Economic History
Those appointed to doctoral studentship shall primarily devote themselves to their studies, aimed to result in a doctoral degree. Work carried out during the studentship consists of participation in research projects as well as successful participation in postgraduate (third-cycle) courses. Those appointed to doctoral studentships may also work, to a limited extent, with educational tasks and administration at the Department of Economic History. However, duties of this kind may not comprise more than 20 per cent of a full-time post.
The PhD position is linked to the research environment “CIRCE – Centre for Interdisciplinary Research on Cancer and Equity in Women”. The PhD student will work in close collaboration with researchers from both CIRCE and the Centre for Economic Demography, drawing on expertise in economic history, economic demography, health inequalities, segregation, GIScience, environmental science, and cancer research.
Deadline : 18.May.2026
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Economic History
Those appointed to doctoral studentship shall primarily devote themselves to their studies, aimed to result in a doctoral degree. Work carried out during the studentship consists of participation in research projects as well as successful participation in postgraduate (third-cycle) courses. Those appointed to doctoral studentships may also work, to a limited extent, with educational tasks and administration at the Department of Economic History. However, duties of this kind may not comprise more than 20 per cent of a full-time post.
The PhD position is linked to the research project ” Greenspace Across the Life Course: Inequality, School Outcomes, and Later Health”. The PhD student will work within this project in close collaboration with other project members and be part of an interdisciplinary research environment with expertise in economic history, economic demography, GIScience, and environmental science
Deadline : 18.May.2026
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in medicine with focus on data-driven precision medicine
Type 2 diabetes (T2D) and related cardiometabolic diseases are highly heterogeneous, with substantial variation in disease progression, complications, and treatment response. In addition to cardiovascular and renal complications, individuals with T2D are at elevated risk of cognitive decline and dementia, yet this risk varies markedly between individuals and remains poorly predicted.
This PhD project will develop a data-driven precision medicine framework to identify and characterize non-canonical disease trajectories in T2D and related cardiometabolic conditions, including downstream effects on cognitive function. Using large-scale Nordic and international cohort data, the project will integrate clinical, genetic, lifestyle, and selected omics data to detect individuals whose biological profiles diverge from expected patterns.
The project will combine discordance-based phenotyping, genetic partitioning, and targeted causal inference approaches to identify biologically meaningful subgroups and improve understanding of mechanisms underlying cardiometabolic and neurocognitive risk. Building on these insights, the project will develop and validate prediction models for disease progression, cardio–renal outcomes, and cognitive decline, with a focus on robustness, interpretability, and clinical relevance.
The overall aim is to improve early identification of individuals at high risk of adverse cardiometabolic and cognitive outcomes and contribute to the development of more precise, equitable, and effective prevention strategies.
Deadline : 18.May.2026
Click here to know “How to Write an Effective Cover Letter”
(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Computational Immune Reprogramming
The Cell Reprogramming in Hematopoiesis and Immunity research group at the Department of Laboratory Medicine within the Faculty of Medicine studies how hematopoietic cell fate is specified, maintained, and eventually modified or reversed. Inspired from the fields of stem cell biology, immunology, and cancer we use an interdisciplinary approach to mechanistically understand hematopoietic and immune cell identities and translate our findings into novel gene and cell therapies.
Immunotherapy has transformed cancer treatment by enabling durable responses in some patients. However, many patients do not benefit, and several cancer types, including cold solid tumors, remain resistant to current immunotherapies. A major goal in the field is therefore to develop new strategies that increase tumor immunogenicity and improve anti-tumor immune responses. Cell fate reprogramming of cancer cells into immunogenic dendritic cells is a novel and promising approach that is being developed by the Pereira Lab at Lund University [1]. Nevertheless, so far only a limited number of immune cells have been generated using TF-mediated direct reprogramming, which limits the therapeutic potential of immune cells. This project builds on an established combinatorial barcoded transcription factor screening platform with single-cell readout [1] and aims to expand immune cell reprogramming beyond currently accessible cell types.
Deadline : 17.May.2026
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Student in Immunology and Microbiology
We are now looking for a driven PhD student who will work on the PhD project “Characterization of host-microbe interaction in Hidradenitis suppurativa” and be involved in the group’s other research projects at the laboratory of Barrier Immunity – a newly formed research group interested in antibody formation and host-microbiota interaction at barrier surfaces. We are gradually expanding our team and currently welcoming applications at all career levels. Presently, our team consists of a principal investigator, two research engineers, a postdoctoral scholar and 3 MSc students. Our lab is located at the Division of Molecular Hematology, Department of Laboratory Medicine, Faculty of Medicine, Lund University, Lund, Sweden and benefits form state-of-the-art research environment, strong collaborations between research groups specialized in immunology, hematology and stem cell research and highly professional, friendly and collegial atmosphere.
Deadline : 17.May.2026
Connect with Us for Latest Job updates
(11) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Infection Medicine
The proposed PhD project will explore how peptide-based compounds interact with immune cells and influence inflammation. The work includes studying how these molecules are taken up by monocytes and macrophages, identifying the cellular pathways and receptors they affect, and assessing their impact on the interplay between coagulation and inflammatory responses.
Deadline : 15.May.2026
Polite Follow-Up Email to Professor : When and How You should Write
(12) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Breast/lungcancer
The Breast and Lung Cancer Research Group is located at Medicon Village together with other research groups within Lund University Cancer Center. The research focuses on improving the molecular understanding of lung and breast cancer and on translating research findings into clinical diagnostics.
The work includes analysis of genomic, transcriptomic, and DNA methylation data across different tumor subgroups, using both in-house and public cohorts, with the aim of identifying novel molecular subgroups, therapeutic targets, as well as prognostic and predictive biomarkers.
The group is interdisciplinary, with expertise in areas such as molecular biology, medicine, and bioinformatics, and works in close collaboration with clinical practice. Collaborations take place both nationally and internationally, and the research environment is characterized by openness, creativity, and knowledge exchange.
The research group is now recruiting a full-time (100%) doctoral student, starting June 16, 2026 (or as agreed)
Deadline : 15.May.2026
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI
The research area for this position is computer vision and machine learning, with a focus on new end-to-end machine learning methods and foundational methods suitable for structure from motion research using audio. The research subject is mathematics.
Within our division, we have extensive experience in developing new methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop new methods, for example, feature extraction from sensor data, solving polynomial equations, and optimization.
The project is financed by the strategic research area ELLIIT and is part of the project “Next Generation Spatial AI” , that runs 2026-2031 as a joint project between Lund and Linköping, see ELLIIT. In this project, we will explore new methods for 3D modelling and sensor position estimation that operate directly on sensor data. Here, we will also use new so-called feature-metric approaches. These new modern deep-learning based approaches have the potential of revolutionizing the geometric understanding. We will in the project primarily study acoustic data and sensors, but the methods could also be applied to other sensor types.
The thesis work in the project will include the development of new methods, theoretical analysis, algorithm design, planning and execution of experiments, data collection, writing scientific articles, and presenting the results at international conferences.
Deadline : 15.May.2026
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Applied Mathematics with a focus on Machine Learning for Medical Imaging
The position will be placed at the Division of Computer Vision and Machine Learning at the Centre for Mathematical Sciences. The Centre for Mathematical Sciences is an institution affiliated with both the Faculty of Engineering (LTH) and the Faculty of Science at Lund University.
Within the division of Computer Vision and Machine Learning, there are several senior researchers and approximately 20 doctoral candidates. Research in this field began in the mid-1980s and currently encompasses (i) geometry and computer vision, (ii) medical image analysis, and (iii) machine learning and artificial intelligence. The group has extensive experience in both fundamental research and applied collaborations.
The position is part of the strategic research initiative ELLIIT and is carried out in close collaboration with Linköping University. The project is jointly supervised, with Associate Professor Anders Eklund (Linköping University) acting as co-supervisor. The project also includes collaboration with the radiology and medical imaging research environment in Lund.
Deadline : 15.May.2026
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in biology
The overall goal of the PhD project is to gain new insights to the mechanisms and consequences of sensing and signaling in predator-prey interactions in aquatic foodwebs.
Prey organisms sense predators by chemical cues and respond by launching defensive traits such as vertical migration, bioluminescence, or toxin production, to avoid predation. The responses contribute to large scale phenomena such as harmful algal bloom formation and carbon sequestration. In the research group “Signals in the Sea” (https://www.pelagial.se/) we isolate the chemical alarm-cues, and explore their mechanism of action and effect from cellular to ecosystem level. You will use a combination of classical biological methods and state of the art techniques from chemistry and physics (LC-MS and GC-MS, AI driven microscopy, image-, and motion-analysis, in situ imaging rigs) to explore signaling systems and their consequences in aquatic ecology. The project typically involves a combination of field-, lab-, and computer based work. The successful candidate will be a devoted and curious explorer with a background in biology, physics, chemistry, or related fields and keen to interact with the vibrant multidisciplinary environment of the biology department at Lund University. Experience in plankton ecology, field work, programming, optics, academic writing, and/or image analysis are all meriting for the position.
Deadline : 15.May.2026
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biology with a specialisation in vertebrate migration
Most bird species fly with muscle-powered active flight, which gives them great mobility that, for example, enables efficient habitat utilization and long-distance migration. The cost of flight (power consumption) can be theoretically described using a mechanical model, which results in a U-shaped relationship between power and speed. Until recently, it has been difficult to measure mechanical power in flying animals and thereby test the validity of the mechanical model. Evaluating the flight mechanics model is of great interest because it is used in other models related to flight and migration strategies in birds. By using high-speed cameras for kinematic studies of body and wing movements, it is possible to determine the cost of flight, as well as it is possible to measure, with Particle Image Velocimetry (PIV), the kinetic energy that a bird or bat adds to the air by flapping.
In this doctoral project, different methods for determining flight power will be used, partly how it varies with flight speed and partly how it varies between species of different sizes and shapes. The overall goal is to evaluate the validity of flight mechanics models and flight efficiency with a special focus on birds and/or bats. The studies will be mainly conducted at Lund University’s wind tunnel facility for animal studies, which is equipped with modern equipment well suited to the planned research. We will also test predictions based on results from the wind tunnel studies regarding bird migration strategies by tracking birds using GPS and multisensory loggers.
Deadline : 15.May.2026
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electrical Engineering focusing on Applied Cryptography and Privacy
Through the Wallenberg AI, Autonomous Systems and Software Program (WASP) we now offer a new doctoral student position in the field of Applied Cryptography and Privacy. WASP is Sweden’s largest individual research program ever, a major national initiative for strategically motivated basic research, education and faculty recruitment. The program addresses research on artificial intelligence and autonomous systems acting in collaboration with humans, adapting to their
environment through sensors, information and knowledge, and forming intelligent systems-of-systems.
More about WASP (wasp-sweden.org).
The primary duties of the doctoral student positions are to perform research and teaching within the Applied Cryptography and Privacy area. The research is devoted to the broader area of privacy-preserving communication and computation outsourcing. Communication over the internet is susceptible to surveillance and censorship. Privacy preserving communication techniques (e.g., Tor, Nym, Snowflake) allow users to circumvent such surveillance and censorship. The research scope would include designing, analysing and implementing such systems; additionally, studying different attacks and countermeasures are expected to be part of the research method.
Privacy-preserving computation outsourcing allows users to outsource computation tasks to a cloud server without revealing to the server anything about the user data or even what kind of computations the user is performing. There are different techniques for such privacy-preserving computation outsourcing such as Trusted Execution Environment (e.g., Intel SGX) and Fully Homomorphic Encryption (TFHE, BGV). Furthermore, the specific functions/tasks can be subject to attacks, and identifying attacks and countermeasures is expected to be studied. The research method will be a combination of system studies, design, and experimental research.
Deadline : 15.May.2026
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in attosecond physics
A major research area of the division of Atomic Physics is the generation and application of extremely short light pulses in the attosecond and extreme-ultraviolet regimes. The activities span ultrafast laser technology and extreme nonlinear optics, as well as studies of electron dynamics in atoms and molecules using attosecond light pulses. The division of Atomic Physics is now looking for (at least) two PhD students for the projects described below.
The first project is called: Ultrafast quantum metrology with photoelectrons. The project is based on a novel photoelectron quantum state tomography scheme developed in the group, combining attosecond pulse trains with spectrally tailored femtosecond infrared pulses. The goals of the project are (1) to investigate, using this method, how the quantum state of photoelectrons emitted from atoms and small molecules is influenced by the quantum state of the ionizing light and the properties of the target, and (2) to reconstruct the ultrafast entanglement and decoherence dynamics in the system. The project is mostly experimental but it can also have a theoretical component. The project might also include experiments at free electron laser facilities and/or at other laboratories in collaborating universities.
The second project is called Manipulation of ultrashort laser pulses from an industrial ytterbium laser for high-order harmonic generation and photoemission electron microscopy of nanostructured samples. The project’s goals, based on a unique industrial laser platform, are (1) to control the generated XUV light by shaping the driving laser field spectrally, spatially, and temporally using ultrafast nonlinear optics, and (2) to explore phase-matching regimes, design innovative gas targets and laser-driven generation geometries to increase XUV yield. Successful achievement of these goals promises to revolutionize XUV light generation in research environments, contribute to a deeper understanding of high-harmonic generation, and provide important tools in materials science, with applications in photoemission electron microscopy.
The third project is called: Attosecond pump-probe spectroscopy of charge dynamics in molecules. The project is based at the intense attosecond beamline at the Lund High-Power Laser Facility, where intense attosecond pulse trains are available. The goal of the project is to generate intense, isolated attosecond pulses at this beamline and use them for pump-probe studies of attosecond charge dynamics in molecules and for the study of the dynamics of nonlinear processes in atoms. The project includes: (1) development, optimization, and characterization of the beamline for the generation of intense isolated attosecond pulses; (2) development and implementation of pump-probe measurement techniques based on photoelectron-photoion covariance imaging, and (3) experimental studies of charge dynamics and nonlinear processes. The project might also include complementary experiments at international free electron laser facilities.
Deadline : 13.May.2026
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in associative learning and cerebellar neuroscience
This project is part of the DDLS Research School, funded by the Knut and Alice Wallenberg Foundation through SciLifeLab. The aim is to reveal how networks of neurons in the cerebellum support associative learning, using large-scale Neuropixels recordings combined with computational modelling. The project is embedded in a national network of data-driven life science research spanning eleven Swedish universities. For more information, see the DDLS Research School website at scilifeLab.se/ddls.
Deadline : 13.May.2026
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in physical chemistry
The purpose of the project is to elucidate mechanisms underlying destabilization of bacterial membranes by catalytic nanomaterials (“nanozymes”) and how this translates into antimicrobial effects. For this, nanozymes will be investigated regarding their effects on bacteria-mimicking model membranes, as well as on mimics of plasma and endosomal membranes of human cells, by advanced physicochemical methodologies. Through this, you will contribute to a mechanistic understanding of how nanozymes can be designed to: (i) combat intracellular infections (e.g., tuberculosis), and (ii) potently destabilize bacterial membranes without causing adverse effects, e.g., related to oxidative destabilization of human cell membranes or release of inflammatory lipopolysaccharides from bacteria.
Deadline : 13.May.2026
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Applied Mathematics with a focus on Computer Vision
The research area for the current call is computer vision and machine learning, with a focus on methods for three-dimensional reconstruction and navigation from images and video. The research subject is applied mathematics.
The research project focuses on 3D reconstruction methods and navigation in large-scale environments. Emphasis is placed on combining techniques from geometric computer vision and machine learning, to build accurate and reliable reconstructions and maps from visual data. The aim is to develop systems that incorporate natural geometric constraints, such as epipolar geometry and homographies, restricting the observations to lie in a non-linear manifold with modern machine learning techniques, such as physically informed neural networks.
The position is funded by the Swedish Strategic Research Environment ELLIIT and is part of the project “Learning Geometric Representations“.
Deadline : 12.May.2026
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Mathematical Statistics with focus on proteomic modelling
An important aspect of enabling personalized medicine is to map the high-dimensional protein interactions that govern our health. This project aims to model which types of protein interactions drive the progression of ARDS in intensive care patients with sepsis. To enable this, we will develop information-theoretic machine learning methods to determine which protein interactions are driving disease progression and relate these to relevant biological structures.
The project is funded by ELLIIT, one of Sweden’s strategic research initiatives, and is part of a collaboration with researchers at BTH and Region Skåne.
Deadline : 08.May.2026
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Water Resources Engineering with a focus on Coastal Engineering
The current position is placed at the Division of Water Resources Engineering (TVRL), Department of Building and Environmental Technology. Here, research and teaching aim to understand how water occurs and is transported in natural and urban systems, based on the comprehension and modelling of various aspects of the hydrological cycle from source to sea, including both water quality and quantity, as well as water management and governance. This includes, but is not limited to, studies on the movement of water in piped systems, channels and natural waters; flooding and drought; systems to reduce their consequences; factors affecting water use and quality; and erosion along open coasts, rivers, and lakes.
The coastal engineering research group is specifically focused on the development and application of numerical models to simulate hydro- and morphodynamic coastal processes. The group is also working extensively on field studies and on the development of nature-based coastal protection, in close collaboration with Swedish municipalities and national agencies.
TVRL is the largest water-oriented research group in Sweden. It maintains a world-class research level in a stimulating, diverse, and international environment that comprises PhD students, postdocs, and teachers from many parts of the world. TVRL houses the UN University Water Hub in the Nordic countries. Here, research and teaching take place in an open and progressive environment in collaboration with academic and industrial partners, both nationally and internationally. The work environment is characterised by commitment, collaboration, creativity, and personal responsibility.
Deadline : 08.May.2026
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Biophysical Chemistry
The project studies protein folding and biomolecular assembly processes in terms of structure, dynamics, kinetics, and energy landscapes. You will learn to use, develop, and apply advanced NMR methods to study protein folding, aggregation, and phase separation.
Deadline : 08.May.2026
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electrical Engineering focusing on design of radio frequency integrated circuits
Through ELLIIT (Excellence Center at Linköping – Lund in Information Technology) we now open a new doctoral student position. The position is a part of the ELLIIT environment, and the research is to be performed in close cooperation with colleagues at both Lund University and Linköping University. The research area for the position is radio frequency integrated circuits for wireless repeaters for the 6th generation mobile communication systems (6G), especially for so-called massive MIMO systems. The frequency range is 7-12GHz, part of the so-called FR3 frequency range in 6G. Important parts to investigate are linear transmitters and receivers, in combination with analog cancellation circuitry and digital calibration enabling a repeater to transmit and receive simultaneously without instability due to feedback. Several doctoral student projects in the topic of repeaters are about to start in ELLIIT, in analog and radio frequency circuits, digital circuits, and in system aspects, providing rich possibilities for cooperation with increased visibility and impact of the research.
Deadline :08.May.2026
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral student in Electrical Engineering focusing on secure distributed learning
This research position addresses privacy and security issues in federated and decentralized learning systems by bringing together concepts from information and coding theory, machine learning, and distributed algorithms.
The project is in collaboration with Linköping University, which includes opportunity for research visits.
The project is funded by ELLIIT, a strategic research environment funded by the Swedish government in 2010, as part of its initiative to support strong research in information technology and mobile communications. ELLIIT constitutes a platform for both fundamental and applied research.
Deadline : 08.May.2026
About Lund University, Scania, Sweden – Official Website
Lund University is a prestigious university in Sweden and one of northern Europe’s oldest universities. The university is located in the city of Lund in the province of Scania, Sweden. It traces its roots back to 1425, when a Franciscan studium generale was founded in Lund. After Sweden won Scania from Denmark in the 1658 Treaty of Roskilde, the university was officially founded in 1666 on the location of the old studium generale next to Lund Cathedral.
Lund University has nine faculties, with additional campuses in the cities of Malmö and Helsingborg, with 40,000 students in 270 different programmes and 1,300 freestanding courses. The university has some 600 partner universities in nearly 70 countries and it belongs to the League of European Research Universities as well as the global Universitas 21 network. Lund University is consistently ranked among the world’s top 100 universities.
Two major facilities for materials research are in Lund University: MAX IV, a synchrotron radiation laboratory – inaugurated in June 2016, and European Spallation Source (ESS), a new European facility that will provide up to 100 times brighter neutron beams than existing facilities today, to be opened in 2023.
The university centers on the Lundagård park adjacent to the Lund Cathedral, with various departments spread in different locations in town, but mostly concentrated in a belt stretching north from the park connecting to the university hospital area and continuing out to the northeastern periphery of the town, where one finds the large campus of the Faculty of Engineering.
Disclaimer: We try to ensure that the information we post on VacancyEdu.com is accurate. However, despite our best efforts, some of the content may contain errors. You can trust us, but please conduct your own checks too.
Related Posts
