PhD in Biophysics at Radboud University
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Position Overview
Radboud University is offering a fully funded PhD position in Biophysics at the Faculty of Science in Nijmegen, Netherlands. The role is based within the Radboud Institute for Molecular Life Sciences (RIMLS) and supervised by Dr. Jorine Eeftens. The position focuses on fundamental research into protein–DNA interactions at the single-molecule level, with a planned start date of September 2026.
Research Focus
This PhD project explores how structural proteins influence the mechanical and physical properties of DNA, a key factor in genome organization and cellular function.
Core research themes include:
DNA packaging and chromatin structure
Protein–DNA interaction dynamics
Genome stability and regulation
Links between molecular dysfunction and diseases such as cancer
The project aims to uncover the physical principles governing DNA organization and how disruptions contribute to genetic disorders.
Research Methods and Approach
The candidate will use advanced single-molecule biophysics techniques, including:
Optical tweezers to study force responses of proteins
Measurement of molecular interactions and dynamics
Experimental analysis of chromatin structure
Integration of physics-based and biological approaches
This interdisciplinary work bridges biophysics, molecular biology, and medical science.
Responsibilities
The PhD candidate will:
Conduct experimental research on protein–DNA interactions
Analyze and interpret single-molecule data
Collaborate within a multidisciplinary research team
Contribute to scientific publications and presentations
Participate in teaching activities (up to 10%)
Engage in collaborations with partner institutes
Candidate Requirements
Applicants should have:
A Master’s degree in Molecular Sciences, Biophysics, Nanobiology, Biochemistry, or a related field
Strong interest in chromatin biology and interdisciplinary research
Good communication and academic writing skills in English
Ability to work both independently and in teams
Preferred Qualifications
The following are advantageous:
Experience with optical tweezers
Background in chromatin biology or DNA mechanics
Laboratory research experience in molecular or biophysical systems
Research Environment
The position is hosted at RIMLS, a leading interdisciplinary research institute focusing on:
Epigenetics and developmental biology
Biophysics and computational biology
Molecular life sciences research
The candidate will work in the Chromatin Biophysics group and collaborate with the Institute for Molecules and Materials, benefiting from strong interdisciplinary and international partnerships.
PhD Structure
Duration: 4 years full-time (or 5 years at 0.8 FTE)
Initial contract: 1.5 years with evaluation
Extension based on performance
Teaching load: up to 10%
Salary and Benefits
Starting salary: €3,059/month, increasing to €3,881
8% holiday allowance and 8.3% year-end bonus
30–41 days of annual leave
Flexible working hours and remote work options
Pension plan and additional employee benefits
Discounts on sports and cultural activities
Access to training and career development programs
Application Requirements
Applicants must submit:
Cover letter addressed to Dr. Jorine Eeftens
CV
Supporting documents as specified in the application portal
Applications must be submitted through the official online system.
Deadline
30 May 2026
Additional Information
Shortlisted candidates will be invited for interviews in early June 2026. The university promotes diversity, inclusion, and equal opportunity in recruitment.
This PhD position offers a strong opportunity to work at the intersection of physics and biology, contributing to cutting-edge research in genome organization and disease mechanisms.
PhD in Biomedical Sciences at UiT Norway
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UiT The Arctic University of Norway
• Tromsø, Norway
Department
Biomedical Sciences
Supervisor
Associate Professor Luis Hortells
Deadline
May 23, 2026
Position Description
The position
A fully funded PhD fellowship is available focusing on the biological mechanisms of peripheral nerve aging. This role is part of the Aging Initiative within the Department of Medical Biology and the Cardiovascular Research Group.
The position begins in June 2026 and runs for four years. The PhD research itself spans three years, while the fourth year includes teaching and academic duties. Admission to the doctoral program is required to hold the position.
The project
The research project, titled “The Puzzle of Nerve Aging: Unraveling the Trinity of Fat, Chondral Proteoglycans, and Fibroblast Growth Factors,” explores how aging affects the peripheral nervous system.
The study focuses on:
Molecular mechanisms of Schwann cell and neural fibroblast degeneration
The role of fat-derived signaling in nerve aging
Interactions contributing to muscle loss (sarcopenia) and reduced mobility
Strategies to interrupt the cycle of nerve degeneration and physical decline
This project addresses a critical gap in understanding how aging impacts nerve function, aiming to support healthier aging and improved quality of life.
Research environment
You will join a collaborative and interdisciplinary research setting at UiT, working within the Aging Initiative and contributing to ongoing projects. The role also includes supervision of bachelor’s and master’s students.
Key research techniques include:
Cell culture and primary neural cell isolation
Confocal microscopy and live cell imaging
Transcriptomics and molecular biology methods
Transgenic mouse models
Nanoparticle and small-molecule-based therapies
Qualifications
Required qualifications
Master’s degree in biomedical sciences, neuroscience, or related life sciences
Strong background in molecular and cellular neurobiology
Hands-on experience with laboratory techniques such as cell culture, transfection, and microscopy
Documented English proficiency
Preferred qualifications
Experience with transcriptomics and bioinformatics
Knowledge of transgenic animal models
FELASA certification for animal research
Personal qualities
Strong motivation for scientific research
Ability to work independently and collaboratively
Good communication and organizational skills
Attention to detail in laboratory work
Admission requirements
To qualify for the PhD program, applicants must have:
Bachelor’s (180 ECTS) and Master’s (120 ECTS) degrees or equivalent
Minimum grade C or equivalent in the master’s degree and thesis
Eligibility under Norwegian higher education standards
What we offer
Annual salary of NOK 550,800 with yearly increments
Access to high-quality research infrastructure
Supportive academic and collaborative environment
Teaching and career development opportunities
Membership in the Norwegian Public Service Pension Fund
Access to Norway’s public healthcare system
Application process
Applicants must submit:
Cover letter (maximum 1 page)
CV with full academic background
Academic transcripts and diplomas
Proof of English proficiency
Master’s thesis and relevant publications
References
All applications must be submitted through the official online system before the deadline.
Application Deadline
May 23, 2026
This PhD opportunity at UiT offers a focused pathway into neuroscience and aging research, combining advanced laboratory techniques with impactful research aimed at improving health outcomes in aging populations.
PhD in Electrical Engineering at University of South-Eastern Norway
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University of South-Eastern Norway
• Notodden, Norway
Department
Electrical and Electronics Engineering
Supervisor
Thomas Øyvang
Deadline
May 27, 2026
Position Description
About the position
The University of South-Eastern Norway is offering a fully funded PhD research fellowship in real-time predictive fleet modelling and optimization for coordinated reactive power control. This opportunity is part of the CoordQ project, funded by the Research Council of Norway, focusing on improving energy efficiency and stability in the Nordic power system.
The position is designed to provide structured research training, allowing candidates to develop academic expertise and contribute to innovative energy solutions. The expected start date is September 2026, with flexibility until January 2027.
About the doctoral project
The PhD research is embedded in the CoordQ project (Enhanced Reactive Power and Voltage Coordination in the Nordic Power System), which aims to strengthen grid reliability, optimize energy distribution, and support growing electricity demand.
The research will focus on:
Developing real-time predictive models for coordinated reactive power control
Designing optimization strategies for multi-resource energy systems
Integrating machine learning techniques such as reinforcement learning and graph neural networks
Building digital twin models for power system components
Validating solutions using real-world and simulated grid scenarios
The project involves collaboration with leading institutions and industry partners including NTNU, Statnett, Statkraft, and Aker Solutions.
Duties
Complete the doctoral program and obtain a PhD degree within three years
Conduct high-quality research aligned with project objectives
Publish research findings in academic journals and conferences
Collaborate with project partners and contribute to research activities
Participate in national and international academic events
Qualifications
Applicants must meet the following requirements:
Master’s degree (120 ECTS) in a relevant STEM field such as electrical engineering, physics, computer science, or machine learning
Strong academic record (minimum grade B or equivalent)
Knowledge of quantitative research methods
Excellent English communication skills
Eligibility for admission to the doctoral program at USN
Personal qualities
Successful candidates should demonstrate:
Strong motivation and research potential
Ability to work independently and in teams
Analytical thinking and problem-solving skills
Flexibility and adaptability in research environments
Effective communication and presentation abilities
Project proposal requirement
Applicants must submit a 2–4 page research proposal (600–1200 words) including:
Research problem and objectives
Literature review and theoretical framework
Methodology and work plan
Expected results and references
What we offer
Fully funded PhD position with a salary of NOK 550,800 per year
Structured doctoral training and career development
Access to international research networks and industry collaboration
Opportunities for research stays abroad
Membership in the Norwegian Public Service Pension Fund
Inclusive and supportive academic environment
Application process
Applicants must submit:
Cover letter and CV
Academic transcripts and diplomas
Master’s thesis and publications (if available)
Research proposal
Proof of English proficiency
Contact details for references
Applications must be submitted through the official online portal before the deadline.
Application Deadline
May 27, 2026
This PhD opportunity offers a strong pathway into advanced energy systems research, combining machine learning, power engineering, and real-world industry collaboration to address critical challenges in modern electricity grids.
PhD in Sustainable Design and AI Education at University of Southern Denmark 2026
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University and Department
University of Southern Denmark
Center for Software Technology, Maersk Mc-Kinney Moller Institute
Location
Vejle
Salary and Duration
36,608 DKK per month
3-year fully funded PhD position
Application Deadline
31 May 2026
Position Overview
The University of Southern Denmark is offering fully funded PhD positions in participatory design, sustainability, and AI education. These positions are part of the NNF-funded research project focused on exploring sustainable futures through design futuring with youth and local communities.
This interdisciplinary PhD opportunity combines human-computer interaction, sustainability, and education research. It is designed for candidates interested in developing innovative approaches to climate challenges using participatory design and emerging technologies.
Research Focus and Objectives
The project addresses the urgent need for sustainable solutions in response to climate change, particularly challenges such as rising sea levels and land-use transformation. It explores how communities, including children and youth, can actively participate in shaping sustainable futures.
The research integrates design futuring, AI education, and participatory methods to help young people understand sustainability challenges and express their ideas through interactive technologies. It also examines the environmental and ethical implications of artificial intelligence, including its resource consumption and societal impact.
Key Responsibilities
The selected PhD candidate will conduct interdisciplinary research involving workshops, field studies, and participatory design activities with children and local communities. The role includes teaching sustainability and AI concepts, facilitating creative engagement, and analyzing how participants envision future solutions.
The candidate will apply methods such as human-centered design, qualitative research, ethnography, and interactive system development. Publishing research findings in international journals and conferences is a key part of the role, along with contributing to collaborative research projects.
Candidate Profile and Eligibility
Applicants must hold a Master’s degree in a relevant field such as human-computer interaction, education, computer science, design, urban planning, or related disciplines.
The ideal candidate should have strong communication skills, the ability to work in interdisciplinary environments, and a genuine interest in sustainability and participatory research. Experience working with children or youth, as well as creative or technical skills in areas like design, programming, or digital media, will be considered an advantage.
Research Environment and Opportunities
The Center for Software Technology at SDU is located on the growing Vejle campus, which collaborates closely with local innovation hubs such as Spinderihallerne. This provides access to advanced facilities including FabLabs and BioLabs, supporting experimental and community-based research.
The university offers a dynamic international research environment, encouraging collaboration across disciplines and with industry and public sector partners.
Salary and Benefits
This PhD position offers a competitive salary of 36,608 DKK per month, including pension. Candidates with relevant experience may qualify for a higher salary level.
The position includes full employment benefits under Danish academic agreements, access to research facilities, and opportunities for international collaboration and career development.
Application Process
Applicants must submit their application online through the official SDU system. Required documents include a motivation letter, CV, academic transcripts, and supporting materials such as publications or references.
All documents must be in English and submitted in PDF format. Applications are evaluated by an academic committee, and shortlisted candidates may be invited for interviews.
Why This PhD Stands Out
This PhD opportunity stands at the intersection of sustainability, artificial intelligence, and participatory design. It offers a unique chance to work on real-world climate challenges while engaging directly with communities and shaping future-focused educational approaches.
PhD in AI at University of Luxembourg 2026
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University and Research Centre
University of Luxembourg
Interdisciplinary Centre for Security, Reliability and Trust (SnT)
Location
Luxembourg City
Position Overview
The University of Luxembourg is offering a fully funded PhD position in Information Systems Engineering and Computer Science, focusing on the application of large language models (LLMs). This doctoral role is designed for candidates interested in advancing AI-driven automation, knowledge systems, and next-generation digital architectures.
The selected candidate will join the FINATRAX Research Group, a multidisciplinary team working at the intersection of artificial intelligence, business systems, and emerging technologies. The project aims to bridge large language models with task automation tools, enabling intelligent, secure, and scalable AI-driven workflows.
Research Focus and Objectives
This PhD project centers on integrating large language models with knowledge graphs and automation systems. The research explores how hybrid AI architectures can improve task automation, decision-making, and enterprise workflows.
Key areas of focus include developing knowledge graph systems to structure complex data, designing architectures that connect LLMs with automation tools, and evaluating performance based on cost, scalability, and data protection. The research also investigates how LLM-based systems can enable natural language interaction with software systems through chatbot interfaces.
Key Responsibilities
The doctoral researcher will conduct advanced research using Design Science Research methodologies in collaboration with industry partners. This includes identifying automation requirements, developing AI-based solutions, and evaluating their real-world impact.
The role involves deploying and benchmarking large language models, integrating them with knowledge graphs, and designing scalable AI systems. The candidate will also publish research findings in leading academic journals and conferences, contribute to research proposals, and participate in interdisciplinary research projects.
Eligibility Criteria and Candidate Profile
Applicants must hold a Master’s degree in Artificial Intelligence, Computer Science, Software Engineering, Data Science, Information Systems, or a closely related field with a strong AI background.
Candidates should demonstrate strong programming skills in at least one major programming language and show interest in cloud computing and scalable architectures. Familiarity with large language models, knowledge graphs, or semantic search is considered an advantage.
The ideal applicant is collaborative, innovative, and motivated to solve complex real-world problems through advanced AI research. A minimum B2-level proficiency in the language of the thesis is required.
Salary and Benefits
This is a fully funded doctoral position with a competitive annual gross salary of approximately €43,445. The contract is initially for 36 months and can be extended up to 48 months depending on progress.
The University of Luxembourg offers a highly international research environment with staff from over 90 countries. Researchers benefit from strong industry collaborations, modern infrastructure, and access to European research networks.
Research Environment and Career Development
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) is a leading European research hub specializing in secure and reliable ICT systems. It maintains close partnerships with industry, government, and international organizations.
The FINATRAX Research Group focuses on emerging technologies such as blockchain, generative AI, natural language processing, and IoT. This interdisciplinary environment allows doctoral researchers to work on impactful projects that connect technology with real-world applications.
Application Process
Applicants must apply online through the official HR system of the University of Luxembourg. Applications submitted via email will not be accepted.
Required documents include a detailed CV, a motivation letter explaining alignment with the research topic, and academic transcripts. Early application is strongly recommended, as applications are reviewed on a rolling basis.
Why This PhD Stands Out
This PhD position offers a unique opportunity to work at the intersection of large language models, knowledge graphs, and enterprise automation. With strong industry collaboration and access to advanced research infrastructure, it provides a clear pathway into high-impact AI careers in both academia and industry.