Below is a curated list of PhD positions offered at Linköping University, each providing a unique opportunity to contribute to cutting-edge research across various disciplines. All positions share the following common details:
Common Details for All Positions
- Duration: 4 years (full-time), extendable to 5 years with teaching or departmental duties (up to 20% of time).
- Employment: Initial one-year contract, renewable for up to two years at a time based on progress, with possible extensions in special circumstances.
- Salary and Benefits: Determined by a locally negotiated salary progression, with additional employment benefits detailed at Linköping University’s employment benefits page.
- Program: Admission to the doctoral studies program at the respective faculty. More information is available at Doctoral studies at Linköping University.
- Diversity: Linköping University welcomes applicants from diverse backgrounds to foster an inclusive research environment. Learn more about their commitment to equal opportunities.
You can also checkout 20 Fully-Funded PhD Scholarships at Uppsala University, Sweden.
All Available Positions
PhD Student in Analytical Sociology
This PhD program offers an opportunity to dive into interdisciplinary studies, exploring themes like segregation, culture, politics, social networks, and computational text analysis.
Research Areas
Choose from four dynamic research groups:
- Segregation Group: Investigates how individuals cluster in social spaces like neighborhoods, schools, or workplaces, using Swedish population data to study impacts on life outcomes.
- Politics, Culture, and Knowledge Group: Explores drivers of social change, including political polarization, cultural trends, and scientific progress, through computational social science methods.
- Text Analysis Group: Combines computational text analysis with social science to study political discourse and public sentiment, particularly on topics like immigration.
- Social Network Analysis Group: Examines how social ties form and influence inequality, segregation, and polarization, using large-scale data from Swedish registers and online platforms.
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Requirements
- Master’s degree in social sciences, data science, or digital humanities.
- Strong skills in quantitative methods, programming, or computational techniques.
- Keen interest in IAS research themes and collaborative work.
- Fluency in English (Swedish knowledge is a plus but not required).
- Experience with social network analysis, computational text/image analysis, or machine learning is advantageous.
Application Process
Submit your application by August 31, 2025
PhD Student in Environmental Science at Environmental Change
This PhD position focuses on advancing sustainable biogas technologies by studying the transformation of organic matter at a molecular level, contributing to a circular bioeconomy.
Research Focus
The project investigates how organic pollutants in agricultural, municipal, and industrial residues behave in anaerobic digestion (AD) plants. You’ll explore:
- Molecular transformation pathways of macro and micropollutants.
- Strategies to enhance pollutant degradation into harmless byproducts.
- Applications of digestate as biofertilizers to replace mineral fertilizers, promoting sustainable agriculture.
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The research employs advanced analytical techniques such as liquid chromatography, mass spectrometry (target and non-target), and nuclear magnetic resonance (NMR) spectroscopy to study the interplay of physicochemical and microbiological factors in biogas processes.
Responsibilities
- Conduct independent research aligned with the project’s goals.
- Manage and monitor biogas reactors, including sampling and maintenance.
- Perform laboratory work, data analysis, and write scientific papers.
- Foster a collaborative and innovative environment within the BSRC and TEMA Environmental Change.
Requirements
- Master’s degree or equivalent in biotechnology, analytical chemistry, chemical engineering, microbiology, environmental science, or related fields.
- At least 90 credits in a relevant subject area.
- Strong practical and theoretical knowledge in:
- Analytical chemistry for organic matter and pollutant analysis.
- Designing and conducting laboratory experiments.
- Experience with bioreactor operation is a plus.
- Personal qualities: Independent, quality-conscious, cooperative, and communicative.
- Fluency in English (spoken and written).
Application Process
Submit your application by September 8, 2025,
PhD Student in Scientific Visualization
This PhD position focuses on creating reliable methods for topological data analysis and rendering, enabling better understanding of complex datasets from simulations or imaging technologies.
Research Focus
The project centers on designing efficient algorithms to tackle challenges in:
- Topological Data Analysis: Developing methods to uncover patterns and structures in large datasets.
- Rendering Techniques: Creating visualization tools to represent complex scientific data effectively.
- Interdisciplinary Collaboration: Working with other visualization projects across various application domains to address real-world data challenges.
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Responsibilities
- Conduct independent research to advance visualization techniques.
- Develop and implement algorithms, primarily in C++ and graphics programming.
- Collaborate with team members on visualization projects.
- Contribute to scientific publications and presentations.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in Computer Science, Mathematics, or a related field.
- Strong programming skills, preferably in C++, and experience with graphics programming.
- Enthusiasm for solving algorithmic challenges.
- Fluency in English (spoken and written).
- Experience in applied visualization, topological data analysis, or computer graphics is a plus.
- Personal qualities: Analytical, collaborative, and detail-oriented.
Application Process
Submit your application by August 29, 2025
PhD Student in Theoretical Ecology
This research lab focused on theoretical ecology, where you’ll have the freedom to shape your own research questions in areas like coexistence, niche theory, ecological networks, metacommunities, and eco-evolutionary dynamics. This PhD position offers a unique opportunity to explore fundamental ecological questions using mathematical and computational approaches.
Research Focus
Your research will revolve around:
- Mathematical Analysis: Developing and analyzing ecological and eco-evolutionary models using analytical methods.
- Computer Simulations: Simulating complex models that require computational approaches.
- Scientific Publishing: Writing and publishing findings in high-impact international journals.
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Responsibilities
- Conduct independent research within theoretical ecology.
- Perform mathematical modeling and simulations to address ecological questions.
- Contribute to scientific publications and presentations.
- Engage in teaching or other departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in biology, ecology, engineering, environmental science, mathematics, physics, or a related field.
- Strong quantitative skills and an interest in ecological questions.
- Proficiency in English (spoken and written); Swedish is not required.
- Experience with programming (preferably R or C++) or willingness to learn.
- Excellent communication skills.
- Personal qualities: Independent, curious, and collaborative.
Application Process
Submit your application by August 22, 2025
PhD Student in Lighting Design
This program focuses on integrating lighting design into product development, leveraging digital tools like VR/MR to enhance experimentation and evaluation processes.
Research Focus
The project aims to advance lighting design for mobile products, addressing:
- Lighting Ergonomics: Investigating phenomena like glare and contrast in dynamic environments, such as bright daylight or snowy conditions.
- Product Experience: Exploring how lighting influences the perception of form, texture, and color in products.
- Research Through Design: Developing new lighting design processes using physical and digital visualization tools, including VR/MR platforms.
- Strategic Design: Contributing theoretical and practical insights to enhance lighting design’s role in product innovation.
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Responsibilities
- Conduct research to develop new lighting design methodologies and theories.
- Test visualization tools (e.g., Unreal Engine, BIM, MagicQ) to evaluate lighting design concepts.
- Collaborate with industry partners on practical applications.
- Publish findings in scientific journals and present at conferences.
- Participate in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent (240 credits, with 60 at an advanced level, including a 30-credit degree project) in lighting design, industrial design, product design, or technical design.
- Experience or demonstrated interest in lighting design (e.g., for products, premises, or scenes), supported by a digital portfolio (PDF, video, or website).
- Familiarity with digital visualization tools (e.g., Unreal Engine, BIM, or lighting software) is a plus.
- Strong English communication skills (spoken and written); Swedish is advantageous but not required.
- Personal qualities: Creative, detail-oriented, and collaborative.
Application Process
Submit your application, including a digital portfolio, by August 18, 2025
PhD Student in Energy Systems, Industrial Sustainability and Digitalization
Contribute to sustainable industrial transformation through this PhD position focused on energy systems, digitalization, and sustainability. Collaborate with leading industrial partners to develop digital tools that optimize energy-intensive production processes, enhancing economic, environmental, and social sustainability.
Research Focus
The project explores how digitalization and data-driven planning can improve industrial sustainability by:
- Economic Analysis: Conducting life cycle cost analyses (LCC) to evaluate cost savings and market flexibility through digital energy management tools.
- Environmental Impact: Performing scenario analyses to assess energy use and greenhouse gas emissions under different tool implementation levels.
- Social Sustainability: Leading workshops and stakeholder dialogues to examine factors like user acceptance, competence needs, and inclusivity in digital transitions.
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Responsibilities
- Conduct research on digital tools for energy optimization in industry.
- Analyze data from industry partners and perform LCC and environmental scenario analyses.
- Facilitate workshops to explore social sustainability aspects.
- Publish findings in scientific journals and present at international conferences.
- Collaborate interdisciplinarily within the research group and with external partners.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in sustainable systems, energy systems, environmental science, or a related field.
- Strong English communication skills (spoken and written).
- Ability to collaborate effectively with researchers and industry stakeholders.
- Experience in energy or environmental systems analysis, LCC, scenario analysis, or conducting interviews/workshops is a plus.
- Personal qualities: Analytical, collaborative, and proactive in sharing research results.
Application Process
Submit your application by August 12, 2025
PhD Student in Communication Electronics
Join an innovative research project within the ELLIIT framework to advance unconventional array antenna systems for imaging MIMO radar in autonomous driving. This PhD position focuses on developing next-generation multiple-antenna systems to enhance wireless communication, localization, and sensing technologies.
Research Focus
The project centers on:
- Antenna System Design: Creating and optimizing unconventional array antenna systems for MIMO radar applications.
- System Performance: Improving overall performance of intelligent devices for wireless communications and sensing.
- Experimental Validation: Testing antenna designs using measurement techniques in controlled environments like anechoic or reverberation chambers.
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Responsibilities
- Conduct cutting-edge research on antenna systems and radar technologies.
- Develop and model antenna designs using electromagnetic simulation tools.
- Analyze data and implement algorithms using programming languages like MATLAB or Python.
- Publish findings in scientific journals and present at international conferences.
- Collaborate with researchers from Linköping and Lund Universities.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in electrical engineering, electromagnetic engineering, wireless engineering, engineering physics, applied physics, or a related field.
- Proficiency in electromagnetic simulation tools (e.g., CST Microwave Studio, HFSS, EM Pro).
- Experience with programming (MATLAB, Python, or similar) for antenna array analysis.
- Basic knowledge of experimental antenna validation techniques.
- Familiarity with MIMO radar or wave propagation modeling is a plus.
- Strong English communication skills (spoken and written).
- Personal qualities: Problem-solving, proactive, adaptable, and collaborative.
Application Process
Submit your application by August 11, 2025
PhD Student in Medical Science
This PhD position at the Department of Biomedical and Clinical Sciences focuses on identifying genetic markers to assess the risk of toxicity in young cancer patients, contributing to personalized medicine.
Research Focus
The project, titled Predictive Markers for Chemotherapy-Induced Toxicity in Childhood Cancer, involves:
- Clinical Data Collection: Gathering data on the effects of cancer treatments in children.
- Bioinformatics Analysis: Handling sequence data to develop prediction models for toxicity risk.
- Advanced Techniques: Conducting Single Cell RNASeq studies and potentially HiCap studies to explore cellular responses to chemotherapy.
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Responsibilities
- Perform research to develop genetic prediction models for chemotherapy toxicity.
- Analyze clinical and sequencing data using bioinformatic tools.
- Publish findings in scientific journals and present at conferences.
- Collaborate with the research team and contribute to a positive research environment.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in technical biology, chemical biology, biotechnology, biomedicine, bioinformatics, or a related field.
- Interest in biology, chemistry, pharmacology, cancer, and drug treatment.
- Experience with massively parallel sequencing (e.g., Single Cell RNASeq), bioinformatics, prediction models, machine learning, or AI is advantageous.
- Familiarity with blood cells (e.g., neutrophils, leukocytes, platelets) or molecular biology techniques is a plus.
- Fluency in Swedish (written and spoken) for reviewing clinical records, and strong English communication skills.
- Personal qualities: Meticulous, ambitious, solution-oriented, and positive.
Application Process
Submit your application, including a personal letter and letter of intent detailing your relevant qualifications, by August 10, 2025.
PhD Student in Computer Science at IDA
This PhD position, based at the Department of Computer and Information Science, focuses on integrating machine learning into AI planning systems to enhance scalability and performance.
Research Focus
The project, Model-Based Attention for Scalable AI Planning, involves:
- AI Planning Innovation: Developing advanced AI planning systems by incorporating machine learning techniques.
- Theoretical and Experimental Work: Combining theoretical advancements with practical implementation to improve planning efficiency.
- Interdisciplinary Approach: Collaborating within the Machine Reasoning Lab to address complex AI challenges.
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Responsibilities
- Conduct research on AI planning and machine learning integration.
- Develop and test algorithms for scalable AI planning systems.
- Publish results in high-impact journals and present at conferences.
- Participate in WASP’s national graduate school activities, including research visits and networking.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in computer science or a related field.
- Experience in automated planning, reinforcement learning, logic, or combinatorial optimization.
- Excellent programming skills and study results.
- High proficiency in English (spoken and written).
- Include in your application: a cover letter (max 2 pages), academic CV with 1-2 referee contacts, transcript of records, and links to theses/publications.
- Personal qualities: Motivated, innovative, and collaborative.
Application Process
Submit your application by July 31, 2025, via the Apply Now link. Highlight your AI experience and motivation for advancing scalable planning systems.
PhD Student in Wireless Systems
Join a forward-thinking research team to advance wireless communication technologies for 6G and beyond. This PhD position focuses on cutting-edge projects in distributed sensing, signal processing, and decentralized machine learning, with applications in mobile access, distributed intelligence, and drone swarms.
Research Focus
The project explores:
- Distributed Sensing: Developing methods for efficient data collection and processing across distributed systems.
- Hardware-Efficient Signal Processing: Designing algorithms to optimize performance in resource-constrained environments.
- Resilience and Robustness: Enhancing the reliability of wireless systems under challenging conditions.
- Decentralized Machine Learning: Creating communication-efficient solutions for intelligent systems-of-systems.
Responsibilities
- Conduct research in wireless systems and related technologies.
- Develop and implement algorithms for sensing, signal processing, or machine learning.
- Publish findings in high-impact journals and present at international conferences.
- Collaborate with the research team and external partners.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in Electrical Engineering, Computer Science, or Applied Mathematics.
- Excellent mathematical skills and proficiency in programming.
- Strong English communication skills (spoken and written).
- Personal qualities: Analytical, innovative, and collaborative.
Application Process
Submit your application by July 31, 2025
PhD Student in Medical Science
The research team investigate RNA biology in adaptive immunity and autoimmune diseases. This PhD position focuses on understanding biomolecular condensates in immune cell activation and the regulation of immunoglobulin transcripts, aiming to identify new therapeutic targets for inflammatory diseases.
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Research Focus
The project explores:
- Biomolecular Condensates: Characterizing their role in immune cell activation using high-throughput confocal microscopy and proximity labeling.
- mRNA Regulation: Investigating mechanisms controlling immunoglobulin transcript expression in the adaptive immune system.
- Therapeutic Targets: Identifying molecular targets for interventions in inflammatory diseases through experimental and bioinformatic approaches.
Responsibilities
- Conduct research using molecular biology, cellular biology, and bioinformatics techniques.
- Perform experiments with mammalian cell cultures, microscopy, and RNA-seq.
- Analyze data using tools like R or Python on computational clusters.
- Publish findings in scientific journals and present at conferences.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in Molecular Biology, Computational Biology, Immunology, or a related field.
- Experience with mammalian cell culture, lentivirus work, transfection, microscopy, RNA-seq, or molecular biology techniques (e.g., molecular cloning, RT-qPCR).
- Proficiency in data analysis using R or Python on computational clusters is a plus.
- Strong English communication skills (spoken and written).
- Include a cover letter outlining your interests and experience in biology.
- Personal qualities: Collaborative, detail-oriented, and motivated.
Application Process
Submit your application, including a cover letter, by July 31, 2025.
PhD Student in Medical Science at BKV
This PhD position explores the impact of dendritic cells in oncolytic virus-based immunotherapy and the mechanisms behind immune cell dysfunction and immunotherapy resistance.
Research Focus
The project investigates:
- Dendritic Cell Function: Examining the role of dendritic cells in oncolytic virus-based cancer immunotherapy.
- Immune Dysfunction: Studying mechanisms driving dysfunctional dendritic and T cells, and resistance to immunotherapy.
- Advanced Techniques: Utilizing spectral flow cytometry, confocal imaging, single-cell RNA-sequencing, and functional ex vivo assays to analyze immune responses.
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Responsibilities
- Conduct research using experimental mouse models, patient samples, and cutting-edge technologies.
- Perform immunological and molecular biology experiments, including cell culture and virus work.
- Analyze data and publish findings in scientific journals.
- Present research at international conferences.
- Engage in teaching or departmental duties (up to 20% of time).
Requirements
- Master’s degree or equivalent in biomedicine or a related field.
- Experience with Biosafety Level 2 work and certification for laboratory animal work (rodents/mice) approved in Sweden.
- Proficiency in:
- Mammalian cell culture (primary cells and cell lines).
- Oncolytic virus work, including in cancer mouse models.
- Immunological methods (spectral flow cytometry, FACS sorting).
- Molecular biology techniques (PCR/RT-qPCR, western blot).
- Experience in tumor immunology or lymphoma mouse models is a plus.
- Excellent English communication skills (spoken and written); Swedish is advantageous.
- Personal qualities: Structured, initiative-taking, and collaborative.
- Deadline: July 4, 2025,
- Apply Now
