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 Computer Science within WASP Graduate School
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 will carry out research supervised by Jendrik Seipp, Associate Professor in Artificial Intelligence at LiU.
The research for the advertised position will be within the WASP NEST project ”AI for Attack Identification, Response and Recovery (AIR²)”, where we use AI to enhance cybersecurity. The PhD project will focus on the subtopic “Learning Interpretable Models for Identifying Attacks and Countermeasures”. Here, we will develop a network hardening loop that learns symbolic AI planning models from data, uses them to identify possible attacks, and modifies the network to prevent them from happening.
The project will involve both theoretical and experimental work.
Deadline : August 30th 2024.
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Computer Science
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 will carry out research supervised by Jendrik Seipp, Associate Professor in Artificial Intelligence at LiU, and co-supervised by Christoph Kessler, Professor in Parallel Computing at LiU.
The research for the advertised position will be within the WASP PhD project ”Parallel AI Planning”, where we will develop the first AI planning system that exploits modern multi-core processors.
Deadline : August 30th 2024.
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Fluid and mechatronic systems
The research project you will be working on focuses on improving the efficiency of material handling using cranes and various types of machinery. Specifically, you will concentrate on analyzing electro-hydraulic and electro-mechanical actuator systems with a focus on their control of the dynamic systems to enhance their properties and energy consumption. The research will involve both theoretical and experimental studies in hydraulics, mechanics, electrical engineering, and control engineering.
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 : 25th of June 2024.
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Automatic Control, within SEDDIT
The advertised positions will be within our new Competence Center SEDDIT (Sensor Informatics and Decision-Making for the Digital Transformation). Read more about the Competence Center here: https://liu.se/forskning/seddit.
There are several projects to choose between within this center, e.g., collaborative systems, large-scale estimation, generative artificial intelligence (AI) for motion planning, and learning control. The research contains both theoretical and practical challenges and will be carried out in close collaboration with industry.
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 : June 24, 2024.
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Industrial Marketing
The PhD position is part of the research project “Data-Driven Service Transformation in Industrial Ecosystems,” which is funded by the Wallenberg Foundations and will be carried out together with industry partners. The overall aim of this project is to explore how data-driven service transformations are altering markets and value creation for businesses, industrial ecosystems, and society.
Read more here: https://liu.se/en/research/data-driven-service-transformation
Focusing specifically on B2B companies, the project will examine how organisations can leverage the potential of data sharing, AI, and digital platforms to capitalise on service innovation opportunities. It will also investigate how to incentivize engagement among ecosystem members and how to orchestrate such platforms and ecosystems so that value from new services is realized.
Deadline : 20th of June 2024
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD student in computational condensed matter physics
The research area deals with computational materials science combined with analytical method developments. The focus is on understanding and analyzing hard, refractory alloys for potential industrial applications. Static and dynamical (ab initio, DFT) simulations of the materials will allow you to explore high-temperature thermodynamics and elasticity. The theoretical challenge is to develop a machine learned interatomic potential based approach in exploring the vibrational degrees of freedom (phonons). The research is supported by VINNOVA through the Funmat-II competence center. The research task/results are continously discussed with both, experimental and industrial partners.
Deadline : 18 June 2024.
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Materials Science
Within the competence center NEXT, we are looking for a PhD student at Linköping University (LiU) in the field of materials science who is interested in working with the innovative characterization methods enabled by large-scale synchrotron and neutron facilities. Supplementary work will be carried out in laboratories at LiU.
The NEXT Competence Center has 24 partners from academia, research institutes, companies and infrastructures to jointly work within research on innovative materials engineering solutions for current industrial sustainability challenges, for instance, research related to electrification of the transport sector, sustainable manufacturing via additive manufacturing (3D printing) and development of experimental methodology and analysis for effective evaluation of advanced high-throughput experiments. More information about the Competence Center NEXT can be found here: https://www.next.kth.se/
Deadline : 17th of June 2024.
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Materials Science
As a member of Nanostructured Materials, you will conduct application-inspired fundamental research on materials synthesis and behavior. The work is primarily experimental. This position is part of a large project developing protective coatings for nuclear fuel rods so you will be part of a collaborative research team. The team members are from academia and industrial companies. You will be part of one or several research subprojects, headed by a senior researcher and a steering group.
The position comprises experimental research in the field of in situ studies of the oxidation of multicomponent thin films. The research task includes designing and performing time-resolved experiments of the oxidation process of thin films using synchrotron light-based techniques such as diffractometry and spectroscopy. The work includes the growth of the thin films to be studied by magnetron sputt
Deadline : 17th of June 2024.
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Materials Science
As a member of Nanostructured Materials, you will conduct application-inspired fundamental research on materials synthesis and behavior. The work is primarily experimental. This position is part of a large project developing protective coatings for nuclear fuel rods so you will be part of a collaborative research team. The team members are from academia and industrial companies. You will be part of one or several research subprojects, headed by a senior researcher and a steering group.
The position comprises experimental research in the field of synthesizing multicomponent thin films by pulsed arc deposition. The research task includes deposition process development and alloy engineering, thin film characterization by, for example, analytical electron microscopy and x-ray diffractometry, and determination of their mechanical and oxidation-resistant properties. The work is conducted in close collaboration with theoreticians.
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 : 17th of June 2024.
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Data-Driven Life Science
We are focused on understanding biomolecular structures, their dynamics, and ensembles at the molecular level. As part of our team, you will develop computational approaches to analyze and predict protein structures, incorporating experimental data to enhance our models. A key component of this project is utilizing AI, particularly AlphaFold, to optimize and enhance our structural predictions and understand the true dynamic nature of biomolecules.
As a PhD candidate, you will:
- Utilize computational methods, AI techniques, and tools like AlphaFold to analyze and model biomolecular structures, dynamics, and ensembles.
- Expand on our work that achieved top-1 rank in CASP15 and improve its performance using sampling techniques.
- Develop algorithms and software for predicting protein structures, protein-protein interactions, protein-ligand binding, and integrating experimental data to refine models.
- Collaborate with interdisciplinary teams of experts in computational biology, biophysics, biochemistry, structural biology, and artificial intelligence.
- Share your research findings through scientific publications and conferences.
Deadline : June 16th 2024.
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Information Coding
The research will focus on the inner workings of quantum computers, and what property that makes them more powerful than ordinary classical computers. A necessary property of quantum systems is so called quantum contextuality which is somewhat similar to non-locality that received the Nobel prize in physics 2022. This project will research quantum contextuality at a detailed level, and how different kinds of quantum contextuality can make quantum computers faster than classical computers. The project is financed by the Swedish science council, and the long-term goal is to enable better tools for building well-functioning quantum computers.
Deadline : June 14, 2024.
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Applied Physics (Bioengineering)
A major goal of biomedical engineering is the generation of in vitro emulation systems of human organs, to be used as alternative to animal models in preclinical studies as well as platforms for studying organ and tissue regeneration. In this context, the aim of this PhD project is to combine stem cells self-organization and modular biofabrication to generate 3D bioengineered human oral tissues and models of oral diseases equipped with perfusable vasculature, innervation, and immune cells. In particular, we will aim to emulate i) the human dental pulp and periodontium, and ii) head and neck squamous cell carcinoma (HNSCC).
Deadline : 12th of June 2024.
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Applied Physics for ERC project on Dynamic Organic Nanooptics and Metasurfaces
The PhD student will join our ERC project focusing on dynamic optical nanoantennas and metasurfaces based on redox-tunable organic materials. In brief, the research will include fabrication and studies of different nanostructured materials, with the aim to contribute both with fundamental understanding and practical applications such as dynamic metalenses or holograms. The detailed project will be designed together with the selected PhD student. Examples of recent research from our group in this research direction:
Deadline : June 11, 2024.
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD position in nanomaterials self-assembly
This PhD position is associated with the Wallenberg Wood Science Center (WWSC), which is a research center including groups from three major universities in Sweden (KTH, Chalmers and Linköping University). The vision of WWSC is that the forest can offer sustainable bio-based alternatives to fossil-based materials. As a PhD member in WWSC, you will become part of the WWSC academy, which is a graduate student school. In this academy, you will learn about research on renewable materials from wood. During the academy, students will connect with each other and with industry to nurture future collaborations. Read more at WWSC.
Deadline : June 10, 2024.
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Materials Engineering
Within the competence center NEXT, we are now looking for a PhD student at Linköping University (LiU) in the field of materials engineering who is interested in working with the innovative characterization methods that large-scale synchrotron and neutron facilities make possible. Supplementary work will be carried out in laboratories at LiU.
The NEXT Competence Center has 24 partners from academia, research institutes, companies and infrastructures to jointly work within research on innovative materials engineering solutions for current industrial sustainability challenges, for instance, research related to electrification of the transport sector, sustainable manufacturing via additive manufacturing (3D printing) and development of experimental methodology and analysis for effective evaluation of advanced high-throughput experiments.
Deadline : 10th of June 2024
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD position in heterogeneous catalysis
Your research in the Catalysis and Self-Assembly group will focus on developing fundamental principles for more active and selective heterogeneous catalysts.
Questions that may be explored during your PhD include:
- How can catalysts be optimized with respect to spatial distributions of active sites?
- How can the location and structure of active sites be probed by innovative methods?
- How can scaling relations in catalysis be broken for more active catalysts?
- How can confinement effects be leveraged for more active and selective catalysts?
Examples of work that you may conduct during your PhD:
- Test catalysts in our reactor, equipped with in-line gas-chromatography, FTIR spectroscopy, and mass-spectrometry.
- Synthesize heterogeneous catalysts by a variety of methods.
- Utilize isotope labeling to elucidate reaction mechanisms.
- Utilize relevant characterization techniques (e.g., electron microscopy, various spectroscopies, XPS, XRD, BET, etc.).
Deadline : June 10, 2024.
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD student in AI and machine learning
The primary focus of this PhD student position is research on generative machine learning methods for cyber security applications. The research is led by Professor Fredrik Heintz who will be the main supervisor. The research is part of the WASP NEST SOURCE (Secure Operation of Uncontrolled and Reliable Computing on the Edges) coordinated by Lund University.
You will be a WASP PhD student and be part of the WASP Graduate School including following its curriculum.
The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
Deadline : June 10, 2024.
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD student in computer science specializing in cybersecurity
Your task as a PhD student will be to conduct world-class research in cybersecurity specializing in protocol security and automated proof reasoning. The PhD student position is funded by the WASP-funded SOURCE project, which investigates secure orchestration principles, using generative AI methods for resource protocol design including automatic verification of the protocol designs. New models and principles will be verified performing experimental research with open data. We will be working with state-of-the-art dynamic resource allocation techniques as well as Trusted Execution Environments (TEEs).
Deadline : June 10, 2024.
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD in Sustainable biohybrid living materials and devices
Repurposing biology for technology is one of the pathways for a sustainable future reducing synthetic waste and carbon emissions. The project’s main goal is to harness biological processes to enable living characteristics in technological systems. The PhD student will develop biohybrid living materials and devices based on photosynthetic organisms with responsive and evolving characteristics. The PhD student will develop methods for integrating photosynthetic organisms to materials systems/devices that have evolving electrical and mechanical properties and respond to physical or chemical stimuli. The research has interdisciplinary character including material-device characterization, biochemistry and plant biology. The PhD student will work closely with collaborators specialized in chemistry and plant biology. The project is funded by Dr. Stavrinidou’s ERC-Starting Grant 4D-PhytoHybrid.
Deadline : June 7th, 2024.
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD student in Optimisation
As a PhD student, you devote most of your time to doctoral studies and research as part of the group Mathematics and Algorithms for intelligent decision-making (https://liu.se/en/research/mathematics-and-algorithms-for-intelligent-decision-making) with Elina Rönnberg as main supervisor. Your work may also include teaching or other departmental duties, up to a maximum of 20% of full-time.
The major task for this position is research in Mixed-Integer Linear Programming (MILP). The purpose of this PhD-thesis project is to develop new mathematical theory and algorithm components to improve the computational performance of optimisation methods used in combination with Dantzig-Wolfe decomposition. The research will be carried out in collaboration with RWTH Aachen University and the GCG development team, with Marco Lübbecke as co-supervisor https://www.or.rwth-aachen.de/en/staff.html
This position includes admission in the WASP graduate school.The graduate school within WASP is dedicated to provide the skills needed to analyze, develop, and contribute to the interdisciplinary area of artificial intelligence, autonomous systems and software. Through an ambitious program with research visits, partner universities, and visiting lecturers, the graduate school actively supports forming a strong multi-disciplinary and international professional network between PhD-students, researchers and industry.
Deadline : June 4th 2024.
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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