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 Luxembourg, Luxembourg.
Eligible candidate may Apply as soon as possible.
(01) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in AI for Cybersecurity – Systems and Network Security
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust(SnT) at the University of Luxembourg is a leading international research and innovationcentrein secure,reliableand trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Communication and Network Security
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust(SnT) at the University of Luxembourg is a leading international research and innovationcentrein secure,reliableand trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Network Traffic Obfuscation – Systems and Network Security
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust(SnT) at the University of Luxembourg is a leading international research and innovationcentrein secure,reliableand trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Metamorphic Security Testing
This PhD position is supported by the Competence Hub in Research in Cybersecurity and Cyber Defence (Cyber Research Hub), an initiative of the Luxembourg Directorate of Defence (DoD) in partnership with the University of Luxembourg. Also, this project will be conducted in collaboration with the National Cybersecurity Competence Center (NC3). NC3’s mission is to support the Luxembourg ecosystem by enhancing cybersecurity skills and capacity, thereby contributing to the growth of the country’s cybersecurity industry and reinforcing the European Union’s strategic autonomy.We offer an attractive doctoral position in the context of the project Metamorphic Security Testing Assisted by LLMs (MORTAL), funded by the Cyber Research Hub and in collaboration with NC3. The project objective is the definition of techniques and tools for automated vulnerability detection to (1) maximise the detection of zero-day vulnerabilities, and (2) enable continuous cybersecurity assessment of software. More specifically, the project will investigate the use of multimodal large language models and fuzzing for metamorphic security testing.
The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli, and will report to Prof. Fabrizio Pastore (principal investigator for MORTAL). The team focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities, such as requirements quality assurance and architecture analysis, as well as downstream verification & validation activities, primarily software testing and analysis. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher position in Nanomagnetism
We are looking for a motivated researcher at the PhD student level. This theory project will comprise both analytical calculations as well as numerical simulations of classical spin systems. The PhD candidate should have a MS degree in physics or materials science, ideally with a specialization in condensed-matter physics and magnetism.
The project will be carried out in the group of Professor Andreas Michels at the University of Luxembourg in collaboration with the group of Professor Hamid Kachkachi at the University of Perpignan. The position includes travel funds for visiting schools and conferences, and possible extended research stays abroad.
Language Requirements:
Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission – Doctoral Candidates.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate in Urban Socio-Spatial Inequalities Analysis
The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
TheFaculty of Humanities, Education and Social Sciences(FHSE) at the University of Luxembourg brings togetherexpertisefrom the humanities, linguistics, cognitive sciences, social and educational sciences.
People from across 20 disciplines are working within theFaculty. Along with the disciplinary approacha very ambitiousinterdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic,politicaland educational issues with the common goal of contributing to an inclusive,openand resourceful society.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher on ribosome speed control in neurodegeneration
Protein synthesis is one of the most crucial steps in controlling gene expression. The speed at which a ribosome reads the mRNA transcript is not constant, but varies depending on the transcript and the encoded protein. This variation in ribosome speed is necessary for certain proteins to fold correctly. This has important implications for neurodegenerative diseases, which are characterised by the accumulation of misfolded and aggregated proteins. While we have a basic understanding of protein synthesis, we know little about the mechanisms that control ribosome speed in healthy and diseased neurons.
In this CORE project funded by the FNR, we will elucidate these mechanisms in neurons from patients with Parkinson’s disease (PD) and from healthy individuals. To this end, we will integrate ribosome interactomics, translatomics, and nascent proteomics data in order to shed light on co-translational protein misfolding in human dopaminergic PD neurons. We will then combine these findings with genetic patient information to identify critical mutations in translation regulators that may affect the rate of protein synthesis.
This project will establish the concept of translation dysregulation as an important new area of PD pathogenesis for developing new translation-based drugs.
This project focuses on transcriptomics and proteomics experiments, as well as interactomics and kinetic translatomics of translating ribosomes and their genetic manipulation in dopaminergic neurons from various PD models. The aim is to use these findings to identify translationally aberrant protein products that have a high propensity to aggregate. This will form the basis of testing various translation modifiers to restore translational dysregulation in these cells. The candidate will be responsible for differentiating neural stem or progenitor cells into dopaminergic neurons and performing all omics experiments. The person will also be responsible for validating the findings, testing translation modifiers and assisting with the analysis.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Dynamic Topology-oriented Machine Learning for Future Satellite Communications
The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, the TelecomAILab, the CSATLab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Electric Mobility and Energy Optimization
Within the frame of the FNR-CORE funded project ENER-G (Empowering Networks of E-buses for Resilient and Green mobility), a doctoral research project is framed. The PhD topic is around and tentatively entitled “Optimal e-bus charging infrastructure and fleet management considering Vehicle-to-Grid (V2G) connectivity, local renewable energy and dynamic pricing”, and will address “to what extent V2G-bus connectivity, renewable sources like solar panels, battery storage systems, and time-of-day dynamics of pricing schemes can be exploited and result in substantial cost savings for the bus operators, while providing additional benefits for the energy actors and green energy exploitation?”
The PhD project will begin with reviewing the state-of-the-art, then optimisation formulations will be developed. Finally, the research will develop efficient algorithms and test them on realistic networks and using real data from energy and public transport operators. The Doctoral student is also expected to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art in electric fleet planning and management, and in integrated transport and energy management systems. This will likely result in publication of at least three high impact factor journal papers in Transp. Res. (C, D or E) or Energy related journals (Applied Energy, Energy). Presentation at prestigious international conferences (e.g. TRB, hEART, TSL, EURO) will also bring additional visibility to the project outcomes.
The Doctoral researcher will be supervised by Prof. Viti, and will be enrolled to the Doctoral School in Sciences and Engineering (DSSE). The supervision will also be supported by Dr. Ma as part of the CET (Comité d’Encadrement de Thèse) and will be daily supervised by the Postdoc employed in the project by UL.
The PhD candidate will join the Mobilab Transport Research Group, a dynamic group with broad research competences and interests, with expertise covering mathematics, engineering, computer science and social sciences. We offer excellent working conditions in an international and stimulating environment, along with frequent opportunities to engage in scientific activities both in Luxembourg and abroad, including seminars, summer schools, conferences, and more. The Mobilab team is part of the BIVEC (the BeNeLux association for transport research) and as such it has free access to post-graduate courses also in other institutions in Belgium and the Netherlands. The training program will be detailed based on the profile and educational background of the PhD student recruited. PhD training will be framed by the mandatory Doctoral Education Agreement (DEA) between the candidate and the supervisor of the doctoral school to be prepared and signed within month 6 from the PhD start date.
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Youth Health and Well-Being
The University of Luxembourg is seeking a Doctoral Student (PhD candidate) to join the Centre for Childhood and Youth (CCY) within the Department of Social Sciences. This position offers an exciting opportunity to contribute to cutting-edge research on childhood, youth, and related social issues in an international and interdisciplinary environment.
The successful candidate will pursue their own doctoral research project leading to a PhD within a collaborative research environment and will be funded by two important international research projects: Health Behaviour in School-aged Children (HBSC) and European School Survey Project on Alcohol and Other Drugs (ESPAD).
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Molecular Biophysics of Chaperone-Regulated Protein Phase Transitions
The Molecular Biophysics Junior Group is seeking a highly motivated biophysicist, biochemist or molecular biologist to investigate the regulation of the formation and ageing of intrinsically disordered protein (IDP) condensates by small heat shock proteins (sHsps). The project integrates cutting-edge microfluidic approaches, fluorescence-based assays and advanced microscopy techniques to study the molecular interactions underlying protein aggregation and neurodegeneration. The candidate will develop and apply microfluidic diffusional sizing, free-flow electrophoresis and single-cell biophysical measurements in order to quantify sHsp–IDP interactions. These studies will be complemented by cellular imaging using expansion and super-resolution microscopy.
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Hallucination Detection for Robust and Trustworthy LVLMs in Autonomous Driving
Large vision–language models (LVLMs) can describe driving scenes and support decisions [Li25], but they sometimes hallucinate objects, relations, or events that are not present [Liu24,Liu25]. In a safety-critical domain, reducing hallucinations and improving robustness and trustworthiness are essential. This PhD targets principled ways to detect, analyze, and mitigate hallucinations in video-based LVLMs for autonomous driving.
Objectives
- Design, develop, and evaluate novel method(s) to detect and localize hallucinations in LVLM outputs for autonomous driving tasks
- Investigate and propose mitigation strategies to reduce hallucinations or improve model confidence
- Evaluate and benchmark against state-of-the-art methods the reliability and robustness of the hallucination detection system under diverse visual and textual conditions
Primary experiments will be conducted in CARLA (https://carla.org), enabling controlled and repeatable evaluation of hallucinations under diverse driving conditions. The PhD student will work closely with POST Telecom’s company (Luxembourg), who is co-funding this PhD position.
Research Environment
The PhD student will join the Secure and Reliable Software Engineering and Decision-Making (SerVal) group at the University of Luxembourg. SerVal conducts research in security and reliability in software engineering, with a particular focus on AI, data science, and decision-making, as well as designing, testing, and debugging to improve software quality across domains such as FinTech, energy, and Industry 4.0.
Within this context, the PhD will contribute to the group’s growing research on trustworthy AI, focusing on methods that improve the transparency, reliability, and interpretability of intelligent systems in safety-critical domains like autonomous driving.
Deadline : Open until filled
(13) 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
(14) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Computer Science on Post-Quantum Cryptography
The successful candidate will join the APSIA Group (Applied Security and Information Assurance), led by Dr. Peter B. Roenne. The APSIA group has a strong research record on the design, analysis, modelling and implementation of security protocols with classical, post-quantum, and quantum cryptography. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/apsia.
The candidate will pursue a doctorate in computer science with a focus on the migration to Post-Quantum Cryptography (PQC) while collaborating with the Ministry for Digitalization in Luxembourg on a joint project. The project aims to provide guidance on the transformation of applications relying on classical cryptography, prone to attacks from quantum computers, to post-quantum cryptography. Key challenges are secure implementations of PQC, their integration into protocols, defining and proving security, ensuring cryptoagility as well as understanding the problems facing institutions and companies in this migration.
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidate in AI-driven Open Source Intelligence
The successful candidate will join the SEDAN research group to work on the ReNERT project. This project is a collaboration with the Luxembourg Armed Forces. The PhD candidate will investigate how Artificial Intelligence (AI), particularly Generative AI (GenAI), can be leveraged to support the effective mitigation of cyber-threats.
The position holder will be required to perform the following tasks:
- Conduct research on optimising retrieval-augmented LLM systems to identify and categorise sensitive information from diverse OSINT sources
- Develop an on-premise, retrieval-augmented LLM solution that transforms diverse data sources into concise, actionable reports
- Contribute to the implementation of a continuous monitoring platform that integrates with MISP for standardised threat intelligence sharing
- Participate in project reporting, dissemination of results, and meetings with our project partner
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Advanced Multi-Connectivity Techniques for Reliable Multi-Orbit Satellite Systems
The SIGCOM research group, headed by Prof. Symeon CHATZINOTAS, carries out research activities in the telecommunication and networking systems, including NTNs and quantum communication infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications and computing systems. For more details, you may refer to the following: www.uni.lu/snt-en/research-groups/sigcom/
We are seeking individuals driven by excellence, passionate about innovation, and eager to make a positive impact. If this sounds like you, you have come to the right place!
The successful candidate will work under the academic supervision from the University of Luxembourg, and in close collaboration with its industrial partner SES, in the development of advanced reliability and connectivity techniques for multi-orbit satellite systems. In particular, the position holder will be required to perform the following tasks:
- Contribute to the design and performance evaluation of multi-connectivity (MC) frameworks for multi-orbit satellite systems (e.g., GEO-MEO-LEO)
- Develop, optimize, and experimentally validate MC-based reliability solutions for multi-orbit systems compared to single-connectivity baselines
- Carry out research in other related areas
- Disseminate findings through scientific journals and international conferences
For further information, please contact: Dr. Jorge Querol (jorge.querol@uni.lu).
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for Radar-Based 4D Imaging with Advanced Massive-MIMO Signal Processing
The technology of Massive MIMO, through the deployment of numerous antennas at both the transmit (Tx) and receive (Rx) chains, has revolutionized wireless communications by significantly improving capacity and reliability, making it a favored option for various applications, including 5G. This technology has opened exciting new possibilities for 4D (three-dimensional space + Doppler) imaging using mmWave radar sensors, with exceptional spatial and temporal resolution. By utilizing a large number of antennas to transmit and receive signals, Massive MIMO radar can focus energy toward the intended target, minimizing interference from other sources. This enables the sensor to capture fine details about an object’s position, velocity, and movement direction, which can be invaluable for applications such as medical imaging, autonomous driving, in-car monitoring, industrial automation, and security surveillance.
The research, called “R4DAR,” aims to leverage emerging 4D imaging technology with Massive MIMO to create image-like radar observations in a more feasible way. The project focuses on addressing existing gaps in knowledge of Massive MIMO for radar, functional limitations, and sensing robustness while incorporating new features and achieving lower system costs.
More information on the project: https://radarmimo.com/4d-imaging-automotive-mimo-radar/
The selected PhD candidate will work on one of the following research topic:
- Optimal antenna placement and waveform design for Massive MIMO 4D imaging radar sensors
This PhD research will focus on optimizing antenna placement and waveform design for Massive MIMO 4D imaging radars. It will involve investigating different optimization tools, antenna configurations, and waveform parameters to maximize the radar system’s performance regarding accuracy, resolution, and range.
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in AI-Driven Cybersecurity for Automotive Networks
The SECAN-Lab (Security and Networking Laboratory), headed by Prof. Dr. Thomas Engel and embedded within the Department of Computer Science (DCS) at the University of Luxembourg, invites applications for one Doctoral researcher position in the framework of the TITAN (Time-sensitive Intelligent Threat-aware Automotive Network) project — a cutting-edge public-private partnership between the University of Luxembourg and ATEEL S.à r.l.. The project focuses on AI-enhanced cybersecurity for next-generation automotive networks, combining Time-Sensitive Networking (TSN), Software-Defined Networking (SDN), and advanced machine learning approaches to ensure compliance with ISO/SAE 21434 and UNECE WP.29.
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Information Systems and Entrepreneurship
Successful candidates will join the FINATRAX Research Group, a young, vibrant and interdisciplinary team that builds bridges between business research and information systems engineering. The group is united in their pursuit of sustainable technologies that will have a positive impact on society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
Successful candidates will pursue a Doctorate in Information Systems (IS) that will focus on an industry partnership with Wixdom, a Luxembourg-based FinTech specializing in investment crowdfunding market analytics.
This position offers a valuable opportunity to contribute to an interdisciplinary, high-profile project with real-world applications at the intersection of entrepreneurial finance and AI. The objective is to develop an AI-powered mentorship tool to help entrepreneurs set up and optimise their fundraising campaigns. Using extensive public crowdfunding data, the tool will provide personalised, data-driven guidance based on real-time analytics from thousands of crowdfunding campaigns, helping entrepreneurs to improve their fundraising results. The project involves close collaboration with the Entrepreuneurship, Innovation, and New Technology (EINT) research group at SnT.
The doctoral candidate will primarily be responsible for conducting information systems research using various qualitative methods (e.g., interviews, focus groups, case studies). This involves carrying out user interface design studies, and investigating human-computer interaction. Therefore, a strong interest in and experience with qualitative methods is essential. In addition, the candidate will have the opportunity to contribute to the organisation of networking events, such as conferences, and disseminate results through scientific publications in IS journals and at conferences.
Deadline : Open until filled
(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Information Systems Engineering/Spontaneous Applications
Successful candidates will join the 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.
The successful candidates will carry out research in the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant in the area of Information Systems Engineering, and, depending on interest, in fields, such as Generative AI & Machine Learning, Data Privacy, Cyber Security, Digital Identities, Financial Technology (Fintech), Energy Informatics, Energy Economics, and Consumer & Behavioural Research.
In particular, they will be integrated into a larger research team and collaborate with team members employed on different projects. Successful candidates will thus have the opportunity to investigate a broad range of research areas and design an individual research portfolio. PhD candidates will thus have the opportunity to align the skills acquired during their doctoral studies with their personal goals and interests.
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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