Linkoping University, Sweden invites online Application for number of Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Linkoping University, Sweden.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: PhD student in generative modeling for data-efficient machine learning
We are now looking for a PhD student in machine learning with a focus on generative modeling and data-centric strategies for data-efficient machine learning with considerations for fairness and privacy aspects.
The position is part of the Wallenberg AI, Autonomous Systems and Software Program (WASP). You will take part in the WASP curriculum and benefit from its extensive network of other PhD students and senior researchers.
Wallenberg AI, Autonomous Systems and Software Program (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.
Deadline : August 21, 2026
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in financial mathematics or financial statistics
We are seeking a candidate who holds a PhD in a quantitative discipline such as mathematics, statistics, or a related field, with applications in finance or economics. Candidates will be evaluated based on their publication record and their active participation in international conferences relevant to the position. Publications in leading international journals in statistics, econometrics, and finance will be considered a strong merit.
Particular consideration will be given to candidates who have demonstrated the ability to conduct high-quality research in high-dimensional statistical theory, from both theoretical and applied perspectives. Strong programming skills in R, MATLAB, and Python are highly desirable.
Excellent communicative skills are required, including fluency in oral and written English.
In order to succeed as doctoral studies, the candidate must be goal oriented and persevering in his or her work. During the selection process, candidates will be assessed upon their ability to independently pursue his or her work, collaborate with others, have a professional approach and analyse complex matters.
Deadline : August 15, 2026.
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in cognitive science or design with a focus on socially critical use of drone swarms
As a PhD student within CHASS (Centre for Human-AI Swarm Systems), you will work in a multidisciplinary and interdisciplinary research project that addresses the interaction between autonomous drone swarms and societal actors. The doctoral project focuses on the sociotechnical conditions for the use of autonomous drone swarms in critical societal functions.
The work includes mapping and analyzing relevant actors and stakeholders, such as public safety organizations, with a focus on how they understand, evaluate, and relate to swarm-based services. This involves applying and further developing methods such as actor-network analysis, as well as conducting empirical studies, including interviews, workshops, and other forms of qualitative data collection.
The PhD student will also study how key concepts such as trust, utility, risk, and responsibility are shaped in relation to swarm technologies (in air, water, and on land), and contribute to the development of conceptual models for value-based control of swarms. Particular attention is given to how autonomous units can join or leave swarms based on factors such as priority, urgency, and societal relevance.
The work is carried out in close collaboration with engineering oriented researchers and PhD students within CHASS, where the PhD student contributes perspectives from the behavioural sciences, design disciplines, or other relevant social sciences. The results are expected to inform the development of swarm behaviours and system solutions that are perceived as understandable, meaningful, and trustworthy by different stakeholders.
The PhD student will be affiliated with the Human-Centered Systems (HCS) research environment at Linköping University and is expected to actively contribute to this environment. The doctoral education also includes a research exchange (secondment) at Lund University, where the PhD student will collaborate with the AI and Society research group at LTH.
Deadline :August 7, 2026.
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Medical Science
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part of. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Our research focuses on neonatal brain injury, and we use in vivo and in vitro models for preclinical studies. Your main project will focus on the role of peripheral immune cells in a model of neonatal hypoxia ischemia. In this context, you will characterize the involvement of cells of the innate immune system, primarily monocyte-derived macrophages. You will use RNA interference as a novel therapeutic approach and test both in vitro and in vivo models of neonatal hypoxia ischemia.
You will be part of a multidisciplinary research group at Linköping University, participate in regular lab meetings and collaborate in related projects with other lab members. Initially, you will receive close support and are expected to gradually take on increasing responsibility for one or more sub-projects leading up to the thesis.
You will be supervised by Drs. Ulrika Ådén and Elena Di Martino at Linköping University, and with co-supervision by Dr. Jennifer Dowling at Royal College of Surgeons in Ireland.
Deadline :31st of July.2026
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student in AI-driven Computer G
In this role, you will conduct research focused on the development of new generative AI models and deep learning methods for creating, editing, and optimizing photorealistic computer graphics and 3D scenes, and rendering in real-time. You will work closely with senior researchers and other PhD students in projects exploring the intersection of neural rendering (e.g., NeRF and Gaussian Splatting) and traditional computer graphics.
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Deadline : 31st of July 2026
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Sustainability Analysis of Contaminated Land Remediation
The research is conducted within the framework of an MSCA-DN project focused on sustainable remediation, with particular emphasis on so-called geophysics-assisted remediation strategies studied in comparison with conventional remediation strategies. The project aims to develop and apply methods for assessing environmental impact, ecosystem services, and technical and socioeconomic aspects related to different remediation options.
The current call comprises two doctoral positions with complementary focuses. One position focuses on developing and applying a generic methodology for analysing the environmental impact and ecosystem services of different remediation strategies under varying project and contextual conditions. The other position focuses on developing methods for analysing technical and socioeconomic aspects and for making trade-offs between different sustainability criteria, including stakeholder perspectives.
The work includes method development, case studies, and applications in different project contexts. This may include data analysis, modelling, literature reviews, and interaction with relevant stakeholders. The results are expected to contribute increased knowledge of key factors influencing the choice of remediation strategies and of trade-offs between different sustainability goals.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
An MSCA Doctoral Network (DN) is an international research and training collaboration in which universities and organisations from several countries jointly train doctoral students. The project combines research with structured doctoral education, including courses, joint activities, and exchanges between different higher education institutions and sectors (academia and industry). The aim is to provide doctoral students with broad competence through international mobility, interdisciplinary work, and close collaboration with different societal stakeholders.
Deadline :12th of July 2026
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Student with a Focus on Distributed Radar and Communication in Autonomous Drone Swarms
The position is embedded with the newly established multi-disciplinary center for heterogeneous adaptive swarm systems, CHASS. This is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers in AI, autonomous systems, communications and sensing systems, robots, and swarm intelligence to develop novel solutions for autonomous heterogeneous swarm systems for the benefit of Swedish industry and society. The vision is to make Sweden a leader in intelligent, adaptive, and trustworthy swarm systems by pioneering autonomous heterogeneous collectives of space, aerial, ground, surface, and underwater platforms that can operate as a unified intelligent entity with minimal human intervention. The research program focuses on six key themes: Drone Design, Adaptation, & Production; Perception, Sensing, & Communication; Autonomy, Localization, Mapping & Navigation; Coordination, Self-Governance, & Self-Improvement; Human Swarm Interaction; and Swarm-based Services & Socio-Technical Aspects. The PhD position in this announcement focus on research related to coordination, self-governance, and continuous improvement of autonomous swarm systems.
CHASS will perform world-class research in autonomous swarm systems through a strong, stimulating, and well-connected international research environment. Research outcomes will be validated in real-world scenarios with industry and public-sector partners. CHASS will also serve as a national hub for autonomous swarm systems, promoting education, knowledge sharing, innovation, and policy development. The PhD student will therefore work at the cutting edge of drone swarm technology within a richly multidisciplinary environment and will be part of an initial team of approximately 15 PhD students connected to CHASS.
Research topics lie at the intersection of perception, sensing, and communication, with a particular focus on distributed radar and communications over drone swarms, distributed coherent processing, and distributed synthetic aperture radar (SAR).
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Deadline : July 6, 2026.
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD student in electrocatalysis for sustainable energy conversion
The project focuses on the development and optimization of electrocatalysts and electrolyzer systems for sustainable energy conversion. The research will address both fundamental and applied questions in electrocatalysis, including CO2 conversion, water splitting, biomass-derived molecule upgrading, and other small-molecule transformations. The project aims to develop broadly applicable strategies for catalytic performance optimization and mechanistic understanding in electrochemical systems.
The PhD student will work on the design, characterization, and optimization of catalysts as well as electrolyzer configurations. The work may include catalyst synthesis, operando spectroscopic measurements, reaction mechanism investigation, and optimization of catalytic performance at both the material and device levels.
The PhD student is also expected to contribute to the development of new research directions, maintain accurate laboratory records, and present results in group meetings and at scientific conferences. Preparation of manuscripts for publication in peer-reviewed journals will be an integral part of the role.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Deadline :2nd of July 2026.
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD in Applied Physics
We are seeking two highly motivated and talented PhD candidates to join our team in developing novel organic bioelectronic strategies for interfacing with the nervous system. The positions are based at the Laboratory of Organic Electronics (LOE) at Linköping University, Sweden, where we aim to revolutionize neural interfaces by developing in situ polymerized electrodes, overcoming key challenges such as invasiveness, scar tissue formation, and limited spatial precision.
Building on our recent advances in enzyme-triggered electrode fabrication in living systems (Strakosas et al., Science, 2023, https://doi.org/10.1126/science.adc9998), this research aims to establish new principles for minimally invasive, biologically integrated bioelectronic therapies, with a primary focus on Parkinson’s disease (PD) and other movement disorders.
This call comprises two PhD positions with complementary research focus, unified by the goal of enabling in situ electronic functionalization of living tissue, where biological structures and signals guide both the delivery and formation of electronic functionality.
At a tissue and systems level, one position will focus on how bioelectronic functionality can be delivered, distributed, and operated within complex physiological environments. This includes investigating how structures such as vasculature (arteries, capillaries), neural pathways, and extracellular spaces can serve as access routes and scaffolds for device integration. The work will explore approaches such as fluidics, enzymatic modulation, electroporation, and diffusion-driven transport, and may involve the development of device concepts and system-level strategies, potentially in collaboration with partners working on vascular and implantable medical technologies (e.g., electronic stents).
At a cellular and molecular level, the second position will focus on how biological cues can be used to guide the formation of functional electronic materials in situ. This includes studying and controlling self-organization and polymerization processes that are regulated by cellular signals, disease markers, and local microenvironments. The work will involve developing and evaluating material formation in relevant cell models (e.g., vascular endothelium and neural cells), with the aim of achieving spatially selective electronic functionalization that can interface with and modulate biological activity.
Together, these positions address complementary aspects of a shared challenge: linking transport, structure, and biological signaling across scales to enable new types of bioelectronic systems for neuromodulation. Applications include extending and refining stimulation strategies for Parkinson’s disease (e.g., from or alongside conventional DBS or stent-based electrodes), as well as exploring related bioelectronic interventions.
The work is primarily experimental but may include some theoretical elements, and can involve materials development, cell-based studies, advanced characterization, and device concepts.
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Deadline :June 30, 2026
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Theoretical Physics
Research on the first-principles modelling of point defects in semiconductor materials, with an emphasis on realistic and complex environments. The studied systems are alloyed, disordered, and finite-temperature materials. The quantum-mechanical methods combined with machine-learning approaches should be used. As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
Deadline : 26 June 2026.
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(11) PhD Degree – Fully Funded
PhD position summary/title: Ph D position in Environmental Technology and Management
This PhD candidate will be part of a European academic network working on ecodesign, a European research and training initiative. The network aims to advance ecodesign methodologies and manufacturing strategies that enable circular economy practices at industrial scale, in line with European sustainability and resource‑efficiency policy objectives. Mandatory secondment opportunities in companies will be provided; also, participating in European training schools as a cohort of up to 15 doctoral candidates (an official agreement to be signed).
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD in Design with focus on heterogeneous adaptive swarm systems
The multi-disciplinary center for heterogeneous adaptive swarm systems, CHASS, is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers in AI, autonomous systems, robotics, and swarm intelligence to develop novel solutions for autonomous heterogeneous swarm systems for the benefit of Swedish industry and society. The vision is to make Sweden a leader in intelligent, adaptive, and trustworthy swarm systems by pioneering autonomous heterogeneous collectives of space, aerial, ground, surface, and underwater platforms that can operate as a unified intelligent entity with minimal human intervention. The research program focuses on six key themes: Drone Design, Adaptation, & Production; Perception, Sensing, & Communication; Autonomy, Localization, Mapping & Navigation; Coordination, Self-Governance, & Self-Improvement; Human Swarm Interaction; and Swarm-based Services & Socio-Technical Aspects.
The PhD position in this announcement focus on research related to human-swarm interaction design. The human-swarm interaction (HSI) theme will focus on research enabling a single human operator or team to effectively supervise and collaborate with a swarm of drones, going beyond the monitoring-intervention paradigm. Research will address design for interactions such as for joint sense-making, transparency, resilience of the human-swarm joint system; operator intent tracking and deontic control.
CHASS will drive world-class research in autonomous swarm systems through a strong, stimulating, and well-connected international research environment. Research outcomes will be validated in real-world scenarios with industry and public-sector partners. CHASS will also serve as a national hub for autonomous swarm systems, promoting education, knowledge sharing, innovation, and policy development.
As a doctoral student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
You are expected to conduct your PHD on Human-Swarm Interaction Design, and to pursue research questions within the area of the project(s) (especially CHASS) that fund the doctoral studies. You are expected to contribute to these projects and take part in project activities. The research is based on cognitive systems as a foundation for design and evaluation, as well as on computer science to build testable prototypes.
Deadline : June 23rd 2026
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD in Plant Bioelectronics
Are you passionate about addressing climate change and enhancing agricultural productivity? Join us in pioneering research that tackles these global challenges!
We are seeking a motivated PhD student to join our cutting-edge project aimed at developing organic bioelectronic technologies. Our goal is to revolutionize plant science by creating tools that monitor and influence plant physiology, paving the way for innovative agricultural applications.
Deadline : June 23rd, 2026.
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD students in sensor fusion and optimal motion planning for drone swarms
The multi-disciplinary center for heterogeneous adaptive swarm systems (CHASS) is a national effort funded by the Swedish Strategic Research Foundation (SSF) to bring together leading researchers in AI, autonomous systems, robotics, and swarm intelligence to develop novel solutions for autonomous heterogeneous swarm systems for the benefit of Swedish industry and society. The vision is to make Sweden a leader in intelligent, adaptive, and trustworthy swarm systems by pioneering autonomous heterogeneous collectives of space, aerial, ground, surface, and underwater platforms that can operate as a unified intelligent entity with minimal human intervention. The research program focuses on six key themes: Drone Design, Adaptation, & Production; Perception, Sensing, & Communication; Autonomy, Localization, Mapping & Navigation; Coordination, Self-Governance, & Self-Improvement; Human Swarm Interaction; and Swarm-based Services & Socio-Technical Aspects. The PhD positions in this announcement focus on research theme Autonomy, Localization, Mapping & Navigation.
CHASS will drive world-class research in autonomous swarm systems through a strong, stimulating, and well-connected international research environment. Research outcomes will be validated in real-world scenarios with industry and public-sector partners. CHASS will also serve as a national hub for autonomous swarm systems, promoting education, knowledge sharing, innovation, and policy development.
Deadline : June 22, 2026.
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions in Computer Vision and Learning Systems for Heterogeneous Adaptive Swarm Systems
The positions are announced within the newly established and multi-disciplinary “Center for Heterogeneous Adaptive Swarm Systems” (CHASS), funded by the Swedish Foundation for Strategic Research. CHASS, which you will be a part of, bring together leading researchers in AI, autonomous systems, robotics, swarm intelligence, advanced communication, sensing, perception, autonomous decision-making, human-swarm interaction, swarm governance, mission-adapted design and manufacturing. Research conducted in the center thus spans the full spectrum of drone swarm technologies and the PhD students will therefore work at the cutting edge of drone swarm technology within a rich multidisciplinary environment and will be part of an initial team of approximately 15 PhD students connected to CHASS.
We announce two connected positions in a research project that will study perception for adaptive drone swarms:
- The first position will study autocalibration for heterogeneous sensor swarms, with a particular focus on ensuring real-time consistency and accuracy in both the sensor calibrations and relative location to each other.
- The second project will study shared world models for drones, including the challenges of updating and maintaining the shared world model under uncertainty and incomplete perception.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Deadline : June 22, 2026.
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD student in AI Security: Information-Theoretic Foundations of Memory Poisoning
We are looking for a highly talented and motivated Ph.D. candidate to join our research team in the cutting-edge area of AI security, with a particular focus on information-theoretic foundations of memory poisoning. The project, funded by the Swedish Research Council (VR), aims to develop a rigorous understanding of how malicious information injected into an AI agent’s memory can influence its reasoning and decision-making.
Modern AI systems are rapidly evolving from single-turn chatbots into autonomous agents. These agents use external tools, retrieve information from databases and the web, store memories across interactions, and coordinate with users or other agents. This makes them powerful, but also introduces new security and privacy risks. In particular, if an adversary can corrupt what an agent stores or retrieves, the agent may later make biased, unsafe, or strategically manipulated decisions.
How much poisoned information is needed to manipulate an agent’s behavior? What are the fundamental limits of detecting poisoned memories? How can agents update, retrieve, and communicate memory securely under adversarial conditions?
To establish a foundational understanding of memory poisoning, the project will combine tools from information theory, statistical learning, communication theory, and AI privacy and security. It is suitable for a candidate who is interested in developing rigorous foundations while also validating ideas through selected proof-of-concept attacks, defenses, and experiments with LLM-based agents.
As a PhD student, you devote most of your time to doctoral studies and the research projects of which you are part. Your work may also include teaching or other departmental duties, up to a maximum of 20 per cent of full-time.
Deadline :June 22, 2026
About Linkoping University, Sweden –Official Website
Linköping University is a public university in Linköping, Sweden. Linköping University was granted full university status in 1975 and is now one of Sweden’s larger academic institutions. Education, research and PhD training are the mission of four faculties: Arts and Sciences, Educational Sciences, Medicine and Health Sciences, and the Institute of Technology. In order to facilitate interdisciplinary work, there are 12 large departments combining knowledge from several disciplines and often belonging under more than one faculty. Linköping University emphasises dialogue with the surrounding business sphere and the community at large, both in terms of research and education. In 2018, Linköping University was home to 32,000 students and 4,000 employees.
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