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: PhD Candidates / Spontaneous Applications
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. SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with governmental, industrial and international partners. SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 programme, H2020 programme, and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu
Deadline : Open until filled
(02) 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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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Student on Cybersecurity
We look for candidates keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines, mainly on qualitative and quantitative security and cybersecurity metrics analysis. The position is linked to the Interdisciplinary Research Group in Socio-technical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/) within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD student on Direct-to-Device Communications in Mobile Satellite Systems Using C-band
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 looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you have come to the right place!
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD-student Positions in Finance
The Department of Finance is located in the financial center of Luxembourg at Campus Kirchberg. It consists of more than 15 full-time research-oriented faculty members from top economics and finance departments (e.g., New York University, Lausanne, Rochester, Carnegie Mellon). Despite its recent creation, it has become a prominent finance department in Europe over the last few years. In particular, it ranks among the top 10 European departments based on the number of top economics, finance, and mathematical statistics publications per professor over the last 5 years. It provides an international and stimulating environment with regular top research seminars and several top-quality conferences. It also benefits from close relations with other departments of the University of Luxembourg (Department of Mathematics and Department of Economics and Management). The Department of Finance also collaborates with the Luxembourg Financial Center, the European Stability Mechanism, the Central Bank of Luxembourg and other economic and financial institutions located in Luxembourg.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidates in Statistics and Probability
The MATHCODA Doctoral Training Unit is a doctoral program covering a coherent set of themes around the ideation and study of novel mathematical tools for dealing with high-dimensional and complex data structures, with applications ranging from life sciences to engineering and finance. The main rationale behind our project is the necessity of training a new generation of researchers, possessing a full mastery of the mathematical tools that are needed for modelling and statistically analysing data structures displaying non-standard features, such as high-dimensional components, complicated topological structures, or long-range dependence. The proposed DTU will be led by seven supervisors from Luxembourg University – each of them a scientific leader, specializing in one or more facets of mathematical statistics, probability theory, and their applications. According to our vision, the interaction between the distinct research groups participating in MATHCODA will provide to the doctoral candidates an invaluably rich learning environment, as well as an ideal springboard for their subsequent careers.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD candidates – Spontaneous Applications for Next Generation Radar Sensing Networks
The group has been working on next generation radar sensors in different applications, including automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build distributed and co-operative sensing networks. SPARC group has further expanded its research to integrated sensing and communications, weather radar systems and metacognitive radars,. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly. Its members have been involved in a number of seminal papers in the area of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D radar imaging, distributed sensing, and tracking. SPARC has also collaborating with long term industry partner IEE S.A (www.iee.lu) , University of Naples Federico II, US Airforce Laboratories, TU Berlin and TU Munich among others.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidates in Computer Vision
The successful candidates will join the Computer Vision, Machine Intelligence and Imaging (CVI2) headed by Prof. Djamila Aouada in order to pursue a PhD in the general area of Computer Vision. Multiple positions are open. They will carry out research in predefined topics contributing to CVI2’s activities in computer vision and pattern recognition. CVI2 offers the opportunity to work on industrial projects (with industrial partners such as Lift-Me Off, ARTEC 3D and DataThings) or national and international academic projects. CVI2 is a young group composed of highly motivated and active members. Their work focuses on innovative research topics such as 3D shape modelling, 6DOF object pose estimation, human behavior understating, and deep learning and is disseminated in top-tiers venues.
The position holder will be required to perform the following tasks:
- Carrying out research in a predefined topic and producing results
- Disseminating results through scientific publications
- Providing support in setting up and running experiments in the SnT Computer Vision laboratory
- Proposing and implementing real-time solutions
- Participating in organizing relevant workshops and demonstrations
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (PhD student) on Joint Communications, Sensing and PNT for satellite-based 6G Non-Terrestrial Networks
As a PhD candidate, you will be at the forefront of transformative research in the field of joint communications and sensing for next generation NTNs. Your responsibilities will include:
- Conducting groundbreaking research in joint communications, sensing and positioning, navigation, and timing (PNT) applications for the next generation satellite systems
- Developing innovative solutions and algorithms to integrate communication and sensing or communications and PNT capabilities, addressing unique challenges in the satellite environment
- Collaborating with an interdisciplinary team of researchers at SIGCOM to identify unexplored areas and unlock potential breakthroughs in the field
- Staying updated with the latest advancements in satellite communication, signal processing, radar technologies, navigation algorithms, and other relevant domains
- Publishing your research findings in high-impact peer-reviewed journals and presenting your work at leading international conferences
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (PhD) in Computer Science on Digital Identity Wallets and Payments
The successful candidate 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 digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects.
The Ph.D. candidate will focus on information systems within computer science and engineering while collaborating with Luxembourg’s Ministry for Digitalisation. The project examines the interplay between the European Digital Identity Wallet (EUDIW) under eIDAS2 and digital financial services, considering EU regulations on AML/CFT, open finance, and the digital euro. It will analyze how digital finance evolves alongside EUDIW features, assessing its impact on functionalities and user control over financial and payment data.
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Theoretical Quantum Physics
A PhD position is available for a highly driven and strongly qualified young scientist who wants to advance their career in a stimulating, research-focused environment.
The PhD student should lead innovative and creative research in theoretical quantum physics, including mathematical modeling and phenomenological and numerical analysis. The PhD student should display scientific ambition and target research excellence. As appropriate at PhD level, the student should demonstrate maturity, independence, as well as a collaborative spirit, and strong expertise in mathematical and theoretical physics.
Deadline : Open until filled
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD in Bayesian Comparisons of Deep Neural networks – Part of the Core Project BayesCompare (FNR Funded)
You will develop new Bayesian methods to compare deep neural network and other artificial representations to each other. By applying the new techniques to state-of-the-art architectures, you will test our new methods against existing ones and apply them to achieve better understanding of the processing within deep neural networks. You will also work on visualization of results and using the insights to improve models. You will package effective methods to make them available to other researchers.
Deadline : Open until filled
(13) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher – Educational Sciences
The PhD candidate will be associated with the Institute for Teaching and Learning, Department of Education and Social Work at the University of Luxembourg. The person will be part of a team in the dynamic organisational context of a growing, globally connected research university.
The doctoral candidate will work with Prof. Dr. Janne Fengler on questions related to contexts and processes of learning and teaching. Potential candidates have an MA in education (or related fields) and are highly motivated to contribute to the national, international and comparative knowledge base in the areas of experiential education, teacher professional development, didactics and/or links between formal and non-formal education.
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Vehicular Communications
The successful candidate will join the UBIX Research Group, led by Prof. Raphaël Frank, and work in close collaboration with the industrial partners that are part of the 5GDrive consortium.
This PhD project focuses on developing a tele-operated driving system for autonomous vehicles using 5G technology. The aim is to create a low-latency, high-throughput network application that enables real-time control and video transmission for remote vehicle operation. The project will develop a prototype, rigorously tested in both lab environments and real-world conditions, to validate its reliability and safety. The research will contribute to advancements in autonomous vehicle technology, focusing on secure communication, reducing latency, and optimizing 5G’s application in connected transportation
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Position in Machine Learning for anomalies/failures detection, identification and prediction on lunar robots.
The candidate will be working on the project “NeverGiveUp: Fallback adaptable heterogeneous multi-robots for efficient and collaborative lunar prospection.” A project starting on the 1st of June in collaboration with the RSL-ETHZ research team. NeverGiveUp aims to develop a robust and highly autonomous approach to heterogeneous multi-robot exploration, which would enable them to overcome difficulties and failures while accomplishing collaborative lunar prospection missions. This framework includes approaches to identify and predict potential failures, react before the damage occurs, and define, share, and execute tasks while considering the local terrain and robot states. We plan to use both wheeled robots and advanced walking (legged) robots equipped with cutting-edge locomotion control techniques and autonomous modes to navigate obstacles and challenging terrain adeptly. These robotic systems will be equipped with a variety of skills, which enables them to conduct sample analysis swiftly in target regions. Verification and Validation of these developments will be done in the LunaLab, a lunar analogue facility at the University of Luxembourg.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD) in European Law
The doctoral researcher will be working under the supervision of Professor Dr. Jörg Gerkrath. The doctoral researcher’s main task will be to prepare a doctoral thesis in field of Single Market Law including cross-border interdependencies and/or the implementation and enforcement of the relevant EU rules at the national, Luxembourg level.
The PhD will be conducted in the context of the Doctoral Training Unit “Green and Digital Transitions in the Single Market” (GREITMA) (https://www.uni.lu/research-en/research-projects/greitma/). The doctoral candidate will benefit from specific PhD training but will also contribute to the teaching of classes ranging from one to three hours per week, of small group teachings, tutorials or Moot Court training. The work will be undertaken at the University of Luxembourg. It is also possible to be jointly-supervised with another university.
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Computational Mechanics
The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD) in EU Law
The Department of Law of the Faculty of Law, Economics and Finance of the University of Luxembourg is looking for a PhD candidate under a full contract to conduct research in EU law.
The doctoral researcher will be working under the supervision of Professor Herwig Hofmann. The doctoral researcher’s main task will be to prepare a doctoral thesis in field of EU law concerning the single market and a modern regulatory framework oriented toward resilience and regeneration. The thesis work will be undertaken at the University of Luxembourg. It is also possible to be jointly-supervised with another university. The PhD will be conducted in the context of the Doctoral Training Unit GREITMA (https://www.uni.lu/research-en/research-projects/greitma/). The doctoral candidate will benefit from specific PhD training but will also contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and tutorials.
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD in Bridge Monitoring with CLCE and ML
As the successful candidate, you will contribute to a research project at the intersection of engineering (pre-stressed concrete bridges), material science (Cholesteric Liquid Crystal Elastomer), sensing technologies (fiber-optic sensors, DIC), and computer science (machine learning tools).
The aim of this Ph.D. project is to develop a novel bridge monitoring technique based on CLCE coating. This new technique, combining a novel material coating with a camera-based tracking system, aims to provide a unique spatially-distributed bridge monitoring, leading to new understandings of structural behavior and concrete degradation mechanisms.
The tasks comprise the development of the tracking system, the development of new concrete damage assessment based on spatially continuous strain datasets and the implementation of the systems on full-scale bridges. Multiple full-scale case studies of bridges in Europe (Switzerland, Luxembourg, …) will be used to validate the developed solutions and compare with state-of-the-art sensing technologies.
This groundbreaking research output will lead to the preservation of heritage structures, reduce the environmental impact of infrastructure management, and reduce maintenance costs.
Deadline : Open until filled
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (PhD) in Computer Science / Software Engineering on Differential Privacy and Secure Computation
Successful candidate 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 digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects
Successful candidate will pursue a Ph.D. degree (Doctorate) in computer science or software engineering with a focus on differential privacy (DP) and other secure computing techniques while collaborating with the Ministry for Digitalization. This project aims to advance privacy-preserving techniques for data analysis and task automation, ensuring robust protection of sensitive information. The focus will be on developing and evaluating differential privacy frameworks, as well as secure computing techniques to enable secure, private, and scalable data-driven systems for the secure and privacy-preserving utilization of public data. Key challenges include balancing privacy guarantees with utility, designing efficient algorithms for real-world applications, and assessing security and business implications in practical settings.
Deadline : Open until filled
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Topological Deep Learning (Department of Computer Science)
We are seeking highly motivated candidates with a strong interest or background in one or more of the following areas:
- Deep learning, with a focus on geometric/topological frameworks
- Dynamical systems theory and analysis
- Scientific machine learning and physics-informed neural networks
- Complex systems and network science
The successful candidate will be employed at Doctoral level (PhD) at the Department of Computer Science of the University of Luxembourg (UL). She/he will be supervised by Prof. Dr. Jun Pang and is expected to conduct research on topological deep learning and its interdisciplinary applications.
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD in Theoretical Quantum Physics
The Quantum Dynamics of Control (QDC) group led by Prof. Aurelia Chenu at the University of Luxembourg has an opening for a PhD position. The candidate will be integrated into a dynamics research team and have the opportunity to drive a project. See our group and research: chenulab.com. In addition, the Department of Physics and Material Science (DPhyMS) is starting a doctoral training unit in quantum physics (https://quancom.uni.lu). This will offer the candidate a broad background in theoretical quantum physics. In particular, the candidate will have targeted graduate courses and the chance to be embedded within a higher structure. This can foster interaction with other groups at DPhyMS and will create a vibrant environment.
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Computational Biology
The selected candidate shall develop a machine learning-based approach to identify biological pathways and genes linking aging and Alzheimer’s disease (AD). In particular, the research will be focused on the design of strategies for the rejuvenation of the aging brain as a potential therapeutic intervention for AD.
The project will be conducted in close collaboration with Prof. Michael Heneka at the LCSB, who will also conduct the experimental validation of the computational predictions.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Knowledge Representation and Reasoning (Department of Computer Science)
The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.
Deadline : Open until filled
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Advanced Antenna Design for Satellite Direct-to-Vehicle Communications
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.
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, 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
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Edge AI and Swarm Intelligence for Future Wireless Communication Ecosystems
This PhD position is part of the “SHIELD – Reliable Distributed Learning and Smart Contract assisted Digital Ecosystems” project funded by the FNR, according to the international research CHIST-ERA Program, a consortium of research funding organizations in Europe and beyond supporting use-inspired basic research in Information and Communication Technologies (ICT) or at the interface between ICT and other domains, see here: https://www.chistera.eu.
The successful candidate will join the SIGCOM Research Group and work in SHIELD project which aims to employ optimization and distributed AI tools to address the technical challenges associated with NTNs supporting global digital ecosystems. Introduces a new paradigm for network management that emphasizes efficiency, sustainability, and trust.
Deadline : Open until filled
(27) PhD Degree – Fully Funded
PhD position summary/title: Chercheur en formation doctorale (PhD) en Droit civil
Le chercheur en formation doctorale travaillera sous la supervision du professeur David Hiez. Sa tâche principale sera de préparer une thèse de doctorat dans le domaine du droit civil ou du droit des groupements. La thèse doit être effectuée à l’Université du Luxembourg mais peut prendre la forme d’une cotutelle avec une autre Université. Les thèmes proposés pour le doctorat sont:
- Les excès de la personnalité morale en droit des affaires
- Les coopératives de service public
- Recherche d’un régime juridique global pour les actes gratuits dans la lignée des travaux de Marcel Mauss
- Droit des contrats et décroissance
- Plus généralement: droit coopératif, droit de l’économie sociale et solidaire, droit et décroissance
Deadline : Open until filled
(28) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate in Requirements Engineering
We offer an attractive doctoral position in the context of the PLAITO project, funded by the Luxembourg National Research Fund (FNR). PLAITO contributes to building more trustworthy artificial intelligence (AI) systems. AI is becoming an integral part of humans’ everyday life by revolutionizing the automation strategies in various fields. PLAITO provides a new perspective on enhancing the completeness of natural-language (NL) software requirements, with emphasis on diversity and non-discrimination ethical concerns. To develop inclusive software, the needs of users who do not belong to the majority, e.g., visually impaired users, must be accounted for. In PLAITO, we will leverage the extensive knowledge of large language models such as GPT (the underlying model of ChatGPT) to learn about diverse users and their needs. The goal is to broaden the view of requirements engineers about potential users of software systems, both new and operating ones, to improve the completeness of the specified requirements.
The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli, and will report to Sallam Abualhaija (project PI). 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
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD) in Civil law
The doctoral researcher will be working under the supervision of Professor Hiez. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of civil law. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university.
The suggested themes of the PhD are:
- The excess of the legal personality in business law
- The public service cooperatives
- research of a legal regime for gratuituous acts inspired by Marcel Mauss works
- contract law and degrowth
- more generally, cooperative law, law of social and solidarity economy, law and degrowth
The candidate is, however, welcome to suggest any other topic within the overarching project theme. The doctoral candidate will contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and tutorials.
The doctoral researcher will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of civil law. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects of the project will not only strengthen his/her academic profile, but also give him/her access to (and the chance to critically engage with) some of the most renowned experts in the field.
Deadline : Open until filled
(30) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD) in Private Law
The doctoral researcher will be working under the supervision of Professor Isabelle Corbisier. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of contract law and/or company law. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. The suggested theme of the PhD is to be more precisely determined between the supervisor and the candidate. The doctoral candidate will contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and tutorials.
The doctoral researcher will benefit from being part of a large research group comprising several PhDs and Postdoctoral Researchers working on related topics. Being part of the project will allow the doctoral researcher to enhance his/her knowledge-base and experience; working on the various aspects of the project will not only strengthen his/her academic profile, but also give him/her access to (and the chance to critically engage with) some of the most renowned experts in the field.
Deadline : Open until filled
(31) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Machine Learning Security & Testing
The successful candidate will join the Serval research group and work on a large research project related to Machine Learning Security and Testing. The subject of the thesis will be “Real-World Machine Learning Security” and involves the study of technical methods and approaches for testing the reliability (in particular, the security) of machine learning systems (including generative AI and large language models) against various threats that may occur in the real-world. Successful PhD candidates will extensively explore and develop software security and testing techniques for machine learning systems. These investigations include the feasibility, practicality and success evaluation of prototype implementations. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing industry actors with practical evaluation tools, such as technical testing platforms for AI.
Deadline : Open until filled
(32) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Gamification in Cybersecurity
The successful candidate will join the Serval research group by working on VulDGame project. The subject of the thesis will be “Software Security through Gamification” with supervisor Dr. Mike Papadakis and involves the study of gamification approaches and their application in the context of software security such as secure code principles and software vulnerabilities. Successful PhD candidates will extensively explore and develop software security and software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations. The team you will be working with: Prof. Mike Papadakis.
The position holder will be required to perform the following tasks/will do research on the following topics:
- Studying gamification approaches to software engineering
- Creating a teaching and learning environment for secure code principles and software vulnerabilities
- Engaging students with secure code principles through gamification
Deadline : Open until filled
(33) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Quantum Software Engineering
The successful candidate will join the Serval research group by working on the Quantum Software Engineering project. The subject of the thesis will be “Quantum Software Engineering” and involves the study of software engineering methods and approaches for quantum computing platforms. Successful PhD candidates will extensively explore and develop software security and software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations.
You will be working close together with Mike Papadakis (Associate Professor in Software Engineering).
The position holder will be required to perform the following tasks/will do research on the following topics:
- Software engineering practices on quantum computing
- Define software quality principles for quantum computing platforms
- Adapting and applying traditional software engineering principles to quantum computing platforms
PhD Student Role: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications.
Deadline : Open until filled
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD in Optical Satellite Communications
The successful candidate will join the SIGCOM Research Group, led by Prof. Symeon Chatzinotas. Additionally, this industrial project will be conducted in partnership with the Odysseus Space company as part of the Simulator development for the optical slant path program.
This PhD project aims to develop an analysis tool for the optical ground-to-satellite links and vice versa. In this context, key performance indicators of various modulation types will be analyzed considering the variations in the zenith angle and the atmospheric conditions. The project aims to develop a simulator to combine all the analyses.
The position holder will be required to perform the following tasks:
- Carrying out research in the predefined areas
- Disseminating results through scientific publications
- Communicate and interact with the partner’s team to collect requirements and report results
- Implement and open-source proof-of-concept software tools
- Collaborate with other researchers of the program
Deadline : Open until filled
(35) PhD Degree – Fully Funded
PhD position summary/title: Chercheur en formation doctorale (PhD) en droit privé
Le chercheur en formation doctorale travaillera sous la supervision du professeur Luc GRYNBAUM. Sa tâche principale sera de préparer une thèse de doctorat dans le domaine du Droit privé. La thèse doit être effectuée à l’Université du Luxembourg mais peut prendre la forme d’une cotutelle avec une autre Université. Le thème proposé pour le doctorat est « Personnes, Familles, Patrimoines à l’heure du numérique et de l’intelligence artificielle » Le/la candidat(e) est toutefois invité(e) à proposer tout autre sujet dans le cadre du thème général du projet. Le/la candidat(e) au doctorat contribuera à l’enseignement de classes d’une à trois heures par semaine, d’enseignements en petits groupes et de tutorats.
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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