University of Luxembourg, Luxembourg 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 University of Luxembourg, Luxembourg.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Visualisation and Analysis of Environmental Data
The Living Atlas Luxembourg (LAL) is a research initiative that develops a dynamic, SDG-referenced platform to map and analyse interactions between land, climate, water, energy, and society. The project focuses on identifying tensions, synergies, and trade-offs between Sustainable Development Goals (SDGs) and aims to support evidence-based sustainability transitions and institutional decision-making.
As a doctoral researcher, you will:
- Develop innovative methods for visualising complex environmental and socio-spatial data
- Analyse interdependencies, trade-offs, and synergies between SDG-related indicators
- Contribute to the design and development of the Living Atlas platform such as data integration, dashboards, visual interfaces
- Explore new forms of communicating uncertainty, risk, and complexity in sustainability research
- Collaborate with an interdisciplinary team and engage with stakeholders from policy and practice
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Global Connectivity of Antinuclear Resistance
You will study the personal and intellectual connectivity of antinuclear movements in a global perspective, a genuine gap in the history of antinuclear movements. While earlier work has shown that such connectivity existed between European countries and the United States, the PhD project will expand the focus to include hitherto understudied countries like India, Taiwan and Japan. Rooted in the theoretical frameworks of transnational history, the project will compare evolving knowledge horizons, idea transfers and their appropriation against the background domestic political and societal contexts.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Digital Environmental History of Africa
- Develop and complete a PhD thesis on natural environment-economy-society relationships mid-19th Century to Early 20th Century Africa
- Contribute to the research activities of the C²DH
- Participate in seminars, workshops, and scientific events
- Contribute to scholarly publications and knowledge dissemination
- Contribute to teaching and student supervision activities, in line with the University’s doctoral training framework, e.g. guest lectures, tutorials, or support in courses related to digital history or economic history
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Historical Game Studies
- Develop and complete a PhD thesis in Historical Game Studies
- Contribute to the research activities of the C2DH
- Participate in seminars, workshops, and scientific events
- Contribute to scholarly publications and knowledge dissemination
- Engage in interdisciplinary collaborations within the University and with external partners, e.g. museums, archives, cultural heritage institutions, creative industries, public history actors
- Contribute to teaching and student supervision activities, in line with the University’s doctoral training framework, e.g. guest lectures, tutorials, or support in courses related to digital/public history and game studies
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Computer Science and Computational Social Science
The successful candidate will become a member of the Interdisciplinary Centre for Security, Reliability and Trust within the Interdisciplinary Research in Sociotechnical Cybersecurity (IRiSC) Team under the supervision of Prof. Dr. Gabriele LENZINI, Chief Scientist at SnT/UL and Associate Professor at the University of Luxembourg. They will contribute to cutting-edge research in misinformation/disinformation within the FNR-funded project CLARITY (Community-Led Analysis and Reporting to Improve Trust and Transparency).
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Smart Energy System Modelling
The candidate will work on the the Data-Driven Energy Transition NCER Project (D2ET). This project aims to accelerate the energy transition in Luxembourg by co-creating an ambitious research program. It will utilize a data-driven approach to support decision-making for an optimal energy system, with specific focus on cost-effectiveness, emission reduction, and social acceptability. D2ET will develop a comprehensive digital platform for planning energy transition scenarios, leveraging a consolidated data model and advanced analytics to facilitate strategic decisions with relevant stakeholders.
In the context of this project the candidate will design and implement a cutting edge international Energy System Model that delivers comprehensive energy economic insights, supporting further research and development at Finatrax. Supported in a strong team environment the candidate will develop an innovative approach to renewable energy system modelling (based on stochastic optimization), develop scenarios of the energy transition, conduct policy analyses and technology evaluation. The insights will be published in leading international outlets and contribute to shape the energy transition in Luxembourg.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Artificial Intelligence, Computational Biology and Bioinformatics
The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer disorders.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Student AI in Parkinson`s Disease (AIPD)
We are thrilled to announce 14 PhD open student positions funded by the Marie Skłodowska-Curie Joint Industry-Academic Doctoral Network “AI in Parkinson’s Disease (AIPD)”. AIPD will train a group of 14 Doctoral Candidates in an intersectoral, international and interdisciplinary setting with the aim to educate the next generation of medical data scientists. Our program stands out by a strong translational focus bridging academia and industry. PhD candidates will benefit from:
- Networking Opportunities: AIPD enhances collaboration with leading institutions and researchers in academia and industry across Europe.
- Training and Skills Development: AIPD offers comprehensive training in research and transferable skills, contributing to professional growth.
- Career Advancement: AIPD increases the employability and career prospects of researchers through high-quality research experiences.
- Innovation and Impact: AIPD drives innovation and contributes to societal challenges by supporting cutting-edge research projects in the intersection field of AI and biomedicine.
- Recognition and Prestige: Affiliation with a Marie Skłodowska-Curie program is highly regarded, adding significant value to the researchers’ profiles.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Data Quality and Long-Term Reliability in Smart Sensor Systems
- Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring
- Develop methods, models, and computational tools for sensor data validation, anomaly detection, and uncertainty assessment
- Design and evaluate robust data pipelines for industrial monitoring systems
- Participate in project meetings, workshops, and collaboration activities within the GreenFab consortium
- Collaborate with industrial and academic partners in the Greater Region
The PhD candidate will join the Advanced Engineering and Smart Sensor Solutions (AE3S) research group and collaborate with academic and industrial partners involved in the GreenFab project. This PhD position is part of the Interreg GreenFab project, a European cross-border initiative supporting the transition toward sustainable and energy-efficient manufacturing in the Greater Region.
Modern industrial production systems rely on networks of sensors to monitor processes, energy consumption, material flows, and environmental conditions. However, the effectiveness of these monitoring systems strongly depends on the quality and long-term reliability of sensor data. In industrial environments, measurements are often affected by drift, environmental disturbances, aging effects, and calibration issues, which may compromise monitoring and optimization strategies.
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in E-Mobility and Smart Energy Systems
Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of technology on organisations in the private or public sector. Our team consists of international researchers with backgrounds in technology, law, management, economics, and other fields, united by a shared commitment to advancing sustainable technologies that benefit society. For more information, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/join-us/
Successful candidates will make an important contribution to several exciting research projects, most notably, to the Electromobility Charging Solutions for Local and Cross-Border Commuters in Luxembourg and Beyond research project (e-CoLux). E-CoLux is a project funded by the Luxembourg Research Fund (FNR). Based on three key innovations: (1) a focus on distinct EV commuter archetypes (e.g., work vs. non-work commuters), (2) explicit inclusion of cross-border commuting patterns, and (3) a dynamic link between infrastructure deployment and tariff design, e-CoLux aims to develop a data-driven decision support system that enables effective infrastructure deployment and tariff design, tailored to (1) and (2).
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Optical Satellite Communications
As an Industrial PhD candidate in collaboration with SES, you will conduct advanced research on high-capacity coherent optical feeder links for ground-to-satellite communication, addressing real operational challenges of future satellite systems. The research will focus on atmospheric impairments, link availability, and scalable high-data-rate transmission concepts aligned with SES’s roadmap for next-generation optical infrastructure.
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Civil Engineering with Focus on Hybrid Composite Structures
We are offering an exciting PhD position within the European Eurostars project HySCom, focusing on the development of next-generation hybrid composite columns made of reinforced concrete and structural steel combined with SFRUHPC. The project is conducted in close collaboration with a leading German industrial partner in the field of composite structures, providing a unique opportunity to combine fundamental research with direct industrial application.
Deadline : Open until filled
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Mediated Reality
The VR/AR Lab, headed by Dr. Jean Botev in the Department of Computer Science, is inviting applications for a Doctoral Researcher position in Mediated Reality. The VR/AR Lab is a research unit dedicated to developing and exploring immersive experiences, novel context-aware applications, and distributed virtual environments. The lab’s research focuses on immersion, interactivity, collaboration, adaptivity, agency, representation, and context-awareness in collaborative and socio-technical systems.
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in AI and Machine Learning for Biomedical Imaging
The Junior Research Group in AI in Biomedical Imaging conducts applied AI research focused on biomedical image computing. Our work involves developing state-of-the-art methods for image segmentation, detection, classification, predictive modelling, and image enhancement. We aim to build more trustworthy and robust AI models that can address domain-specific challenges in biomedical applications. The PhD project will focus on translating and enhancing cutting-edge algorithms from AI research into concrete applications in biomedical imaging, with current emphasis on neurodegenerative diseases. The successful candidate will join an interdisciplinary institute working at the interface of computer science, artificial intelligence, and biomedical research.
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Artificial Intelligence, Computational Biology and Bioinformatics
We seek a highly motivated AI scientist, biostatistician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for projects on neurological diseases. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or other large-scale biological data), using statistical methods, pathway/network analysis or machine learning.
The candidate will conduct integrative analyses of biomedical datasets, focusing on single-cell omics and clinical data to predict clinical outcomes of interest and therapeutics. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease- and treatment-associated alterations in complex neurological and cancer disorders.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Joint Communications and Positioning for 6G Non-Terrestrial Satellite Networks
As a PhD candidate, you will conduct advanced research on the physical-layer integration of communication and positioning in next-generation 5G/6G Non-Terrestrial Networks (NTNs), with a focus on LEO satellite systems.
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Situationally-Aware Robot Motion Planning and Control Using Probabilistic and Learning-Based Approaches
The SnT Automation & Robotics Research Group seeks to hire an excellent and motivated PhD candidate within the national research project PCS-GRAPHS (Integrating Situational Awareness, Planning and Control for Autonomous Robots using S-Graphs), funded by the Luxembourg National Research Fund (FNR).
The successful candidate will work under the main supervision of Prof. Holger Voos and will be required to perform the following tasks:
- Carry out the aforementioned research with national and international collaborators, e.g., INRIA Rennes, University of Zaragoza, TU Munich or University College London
- Disseminate your findings at renowned international robotic conferences and workshops such as e.g., ICRA, IROS, and in top-level journal papers
- Supervision of Master and Bachelor students contributing to the project
- Provide assistance in organizational matters related to the project PCS-Graphs
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Computer Vision
The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) research group, led by Prof. Djamila Aouada, to conduct research in Artificial Intelligence with a primary focus on Computer Vision, pattern recognition, and visual generative modeling. Multiple positions are available. CVI2 offers the opportunity to contribute to a diverse portfolio of projects, including collaborations with industrial partners as well as national and international academic initiatives. These projects span the full research and development lifecycle, requiring large-scale experimentation, real-time system implementation, data acquisition and curation, preprocessing, model training, validation, and rigorous performance evaluation. CVI2 is a dynamic, fast-growing research group composed of highly motivated, active members. The group benefits from advanced research infrastructure, including the Computer Vision Lab, equipped with state-of-the-art visual sensors and acquisition systems, and the Zero-G Lab, a unique facility designed to emulate proximity operations under space-like conditions. In addition, CVI2 provides high-performance GPU computing resources that support the design and training of advanced AI models. The research agenda of CVI2 focuses on cutting-edge topics such as 3D understanding and generation, media forensics, anomaly detection, multimodal learning with an emphasis on vision-language models, and computer vision applied to space applications.
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Mathematical and Computational Modelling of Tree-Soil Interactions
The University of Luxembourg invites applications for a fully funded doctoral position in mathematical and computational modelling within the framework of the doctoral training unit Forest Function Under Stress (FORFUS).
Forests are essential to climate regulation, water cycling, biodiversity and human wellbeing. Yet increasing drought, heatwaves and environmental pressures threaten their resilience. While much attention is given to visible canopy decline, the long-term stability of forests is strongly determined by processes occurring below ground. Trees allocate a substantial proportion of their carbon below the surface to sustain roots and symbiotic mycorrhizal fungi, forming a dynamic exchange network that governs water and nutrient uptake. Despite its importance, this underground system remains insufficiently understood from a mechanistic and modelling perspective.
This PhD project aims to develop innovative mathematical and computational models that describe how trees exchange carbon, water and nutrients with the soil through adaptive root and fungal networks. The successful candidate will design and implement a modelling framework based on Partial Differential Equations (PDEs) to represent the coupled dynamics of roots, mycorrhizal fungi and soil resources under varying environmental conditions. The work will integrate concepts from applied mathematics, computational mechanics and biological network modelling, contributing to a new generation of mechanistic tree and ecosystem models.
The position offers the opportunity to work at the interface of mathematics and environmental science in a highly interdisciplinary research environment. The doctoral researcher will collaborate closely with experimental soil scientists, ecologists and forest modellers within the FORFUS consortium, and will be embedded in the Doctoral Programme in Complex Systems Science at the University of Luxembourg. The modelling approaches developed in this project share conceptual similarities with adaptive network and multiscale modelling strategies used in other domains within the computational mechanics group of Prof. Stéphane Bordas (www.legato‐team.eu, www.uni.lu), offering broad methodological training and transferable expertise.
Deadline : Open until filled
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Clinical Data Science and Machine Learning
We are looking for a highly motivated PhD candidate interested in AI-based methods, including machine learning and language technologies, for the integration and analysis of clinical, advanced data harmonisation, and next generation research infrastructures. You will contribute to research projects enabling secure, interoperable, and scalable AI-driven use of clinical data for complex diseases such as Alzheimer’s and Parkinson’s.
You will work within a multidisciplinary environment alongside data scientists, software engineers, biomedical researchers, and clinicians. Your research will focus on developing AI- and LLM-enabled methods and tools to structure, harmonise, and analyse clinical data in a FAIR, privacy-preserving, and clinically meaningful manner, with particular attention to unstructured and multimodal data.
Deadline : Open until filled
(21) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Machine Learning Algorithms Efficiency
We are seeking a highly motivated PhD student to perform fundamental research and to conceive truly sparse solutions (on both, CPU and GPU) for dynamic sparse training, aiming to cut the training costs and energy requirements of state-of-the-art deep learning models significantly, while democratizing them for a vast community of users, researchers, and practitioners. The task is to perform just high-risk/high-gain research without any teaching obligations.
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Mathematics
The successful candidate will pursue doctoral research in group actions, geometric structures, and smooth dynamics under the supervision of Prof. K. Melnick, within the Department of Mathematics at the University of Luxembourg. The doctoral researcher will develop an original research project leading to a PhD thesis and is expected to actively contribute to the scientific activities of the research group, including participation in seminars, workshops, conferences, and collaborative research initiatives.
In addition to conducting high-level research, the doctoral researcher will support the teaching mission of the Department of Mathematics through tutorial sessions, grading, and other pedagogical activities, within the framework of the university’s doctoral training requirements. The candidate may also contribute to outreach and dissemination activities aimed at promoting mathematics and research to the broader academic community and the public.
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Autonomous Driving Systems
The PhD student will contribute to the European project AutHUMate by researching adaptive, human-centered interaction strategies for advanced driver assistance and automated driving systems. Based at SnT, the student will develop and evaluate driver-in-context models using multimodal data to assess driver readiness, trust, and appropriate system use. The PhD work will support AI-based adaptive communication and training concepts and include validation in simulator-based and real-world settings. The student will collaborate closely with academic and industrial partners, contribute to cross-work-package integration, and disseminate results through publications and project activities. The successful candidate will join the UBIX Research Group, led by Prof. Raphaël Frank.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in AI-Driven Bug Intelligence
We offer a fully funded PhD student position within the Trustworthy Software Engineering (TruX) Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The position is embedded in a broader research agenda on trustworthy, data-driven software engineering and AI-assisted development. The successful candidate will work on Bug Report Intelligence for the Generative AI Era (BRIDGE) — exploring approaches to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling, reliability, and AI-assisted software workflows, with validation on real-world datasets from open-source and industry.
Deadline : Open until filled
(25) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher – in Vitro Modeling of Neurodegeneration
This PhD project focuses on understanding how altered stress granule dynamics and biomolecular condensates contribute to PD co-pathologies in human midbrain assembloid models. The work combines advanced imaging, molecular biology, and functional disease modeling.
Deadline : Open until filled
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Uncertainty-Aware Machine Learning Force Fields
The University of Luxembourg invites applications for a fully funded Ph.D. position in machine-learning force fields (MLFFs), uncertainty quantification, and atomistic simulations within the FNR-funded UMLFF project.
MLFFs have transformed atomistic simulations, offering quantum-chemical accuracy for large systems. However, they currently lack reliable uncertainty estimates, limiting error detection and automation. The UMLFF project aims to develop next-generation MLFFs with built-in uncertainty predictions to enable safe, automated active learning and create broad, reliable MLFFs.
Deadline : Open until filled
(27) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Data-Driven Multi-Scale Modelling of Bio-Waste-Derived Metamaterials
The computational mechanics group of Prof. Stéphane Bordas is searching for a PhD student to work on the multi-scale computational modelling and design for novel bio-waste-derived meta-structures. The ambitious goal of this project is to develop a predictive model capable of capturing the multi-scale nature of 3D-printed designs, accounting for variations in bio-waste ink composition and fabrication process parameters. The quantities of interest will include the traditional mechanical, thermal and acoustic properties of designs, but interestingly will also aim to quantify the human-centered perspective/perception. The efficiency of the computational framework will be achieved by applying acceleration techniques, including the machine-learning surrogate modelling. The work will be carried out in a wider collaboration with international academic and industrial partners under the auspices of the EIC Pathfinder project.
Deadline : Open until filled
About University of Luxembourg, Luxembourg –Official Website
The University of Luxembourg is a public research university in Luxembourg.
The University of Luxembourg was founded in 2003, by combining four existing education and research institutes.
The university offers fourteen bachelor’s degrees, forty-two master’s degrees, and doctorates. Students at the university getting a bachelor’s degree are required to spend one semester abroad. The university also offers sixteen vocational training and lifelong learning training courses.
The university is multilingual. Courses are generally taught in two languages, being French and English or French and German. Some courses are taught in three languages and some courses are taught entirely in English.
The university has three faculties, the Faculty of Science, Technology, and Medicine; the Faculty of Law, Economics, and Finance; and the Faculty of Humanities, Education, and Social Sciences, and three interdisciplinary centers, the Interdisciplinary Centre for Security, Reliability and Trust; the Luxembourg Centre for Systems Biomedicine; and the Luxembourg Centre for Contemporary and Digital History. All the faculties offer baccalaureate, masters, doctoral, and vocational programs.
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