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 student on Direct-to-Device Communications in Mobile Satellite Systems Using C-band
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 theoretical and experimental aspects of C-band mobile satellite systems (MSSs) channel modelling, characterization and demonstration. In particular, the position holder will be required to perform the following tasks:
- Contribute to the development of a comprehensive channel model for the C-band direct-to-device (D2D) satellite communications in rural, semiurban and urban scenarios
- Experimentally validate and improve the developed channel model with over-the-air terrestrial and satellite test campaigns
- Carry out research in other related areas
- Disseminate results through scientific journals and 3GPP study and work item
- Present results in well-known international conferences and workshops
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Student in Cybersecurity
The position is linked to the Interdisciplinary Research Group in Socio-technical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/).
Funded by the Luxembourg Minister of Foreign and European Affairs, the project PSYBER – Assessing Cybersecurity Preparedness will be executed closely with Prof. Marcus Völp (Robustness and Resilience in Computing), Prof. Pedro Cardoso-Leite (Faculty of Social Science, Cognitive Science and Assessment), the Luxembourg House of Cybersecurity, the National Cybersecurity Agency. The three groups have established an exciting interdisciplinary environment.
Cybersecurity is vital for democracy, for people’s safety and the proper functioning of public (e.g., hospitals) and private institutions (e.g., banks). Effective cybersecurity requires expertise both in social and in technical domains as cyberattacks target not only computers (e.g., malware) but also people (e.g., phishing). Furthermore, cybersecurity in organizations involves a team of experts who need to coordinate to effectively prevent, protect and respond to cyberattacks. The goal of this interdisciplinary project is to study, measure and improve cybersecurity teams’ preparedness and resilience to different forms of cyberattacks. The project will develop and scientifically test cyber range and cyber war exercises for teams, develop metrics to objectively quantify cybersecurity preparedness levels, and explore innovative way to improve preparedness (e.g., via game-based training interventions using AR/VR).
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for Design Optimization of Soft Aerial Manipulators with High Dexterity
The SnT Automation & Robotics Research Group is hiring a motivated PhD candidate for the bi-national project DOMINANTS (Dexterity-Oriented Methodology in Optimized Design and Control of Soft Aerial Manipulators), in collaboration with INRIA Lille Nord-Europe in France and its leading Defrost team in soft robot simulation and control, see https://www.defrost.inria.fr/.
While UAVs began as flying sensors, there is growing interest in Aerial Manipulators (AMs)—UAVs equipped with robotic arms and grippers. Despite progress with rigid manipulators, challenges remain due to limited payloads, safety-critical interactions, and handling irregular objects in unstructured spaces.
To address this, recent research focuses on soft aerial manipulators (SAMs). Soft arms and grippers offer improved safety and adaptability but introduce new challenges in design and control. Their development is still largely bio-inspired and trial-and-error based. Integrating flight and actuation control in SAMs is particularly complex. DOMINANTS aims to create a novel, optimized methodology to improve SAM dexterity, enabling a wider reach and the ability to grasp various static and dynamic objects in complex environments.
The PhD project will focus on designing and optimizing soft robotic arms and grippers mounted on a rigid, fully actuated UAV to form a highly dexterous and efficient SAM. The goal is to develop model-based design concepts and optimization strategies that enhance adaptability, reach, speed, and safety. Starting with selected UAV, manipulator, and gripper designs, the team will optimize virtual prototypes before building the final physical SAM. While INRIA Lille leads the control design, both teams will collaborate on use-case scenarios and real-world demonstrations to assess performance and future potential.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidate (PhD student) in melanoma drug resistance
We are seeking a highly motivated and talented Doctoral Candidate (PhD Student) to join our research team focused on melanoma drug resistance. The successful candidate will engage in innovative research utilizing wet-lab techniques, 3D models, and extracellular vesicles to advance our understanding of drug resistance in melanoma.
Your responsibilities:
- Conduct wet-lab research in melanoma, including the development and use of 3D models and the study of extracellular vesicles
- Analyze high-throughput data sets using R or similar software
- Present research findings in meetings
- Document performed experiments in a lab book to ensure reproducibility
- Contribute to the preparation of scientific reports and publications
- Participate in institutional activities, including seminars, PhD days, and teaching opportunities
- Engage actively in the doctoral program
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Digital Energy Markets: Economics and Regulation
The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg, together with several of the EU’s main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
In particular, the successful candidate will be part of 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.
The candidate will be involved in various (inter-)national initiatives and engaged with different political decision makers. They will investigate the regulatory, policy, and market challenges of Luxembourg’s energy transition. Their work will include analyzing different energy transition scenarios, evaluating market structures and policies, and developing recommendations to support reliable supply, energy communities, and innovation. The candidate will also explore regulatory obstacles to a data-driven energy market, focusing on incentives, market access, and cross-sectoral barriers, in collaboration with national and international stakeholders. Candidates will have the opportunity to investigate a broad range of research areas and design an individual research portfolio with high impact. As such, successful candidates will be able to align the skills that they learn pursuing a doctorate with their personal goals and interests.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Energy Technology Adoption: Factors, Incentives, and Grid Implications
The successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg, together with several of the EU’s main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, engineering, computer science, information systems, etc.), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
In particular, the successful candidate will be part of 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.
The candidate will be involved in various (inter-)national initiatives and engaged with different political decision makers. In addition, the candidate will have the opportunity to investigate a broad range of research areas with particular focus on understanding the foreseeable adoption of various energy technologies used in and connected to grids (e.g., distributed generation, storage, electric vehicles, heat pumps, smart energy management systems, etc.) and how to design grid tariffs that align grid and market incentives (e.g., price elasticities, dynamic tariffs, nodal pricing, etc.).
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Smart Energy Flexibility
Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg, together with several of the EU’s main institutions and stakeholders that shape our energy transition. Located at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
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.
Within this project the candidate will analyse one of the key components of a successful energy transition: flexibility – in detail – the various technical flexibility supply options like storage (electricity, …), their value with respect to the system, residential and industrial suppliers, their spatial and temporal dimension, its alignment with grid constraints as well as policy options (like new market rules, grid tariffs or curtailment) and their welfare implications.
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Smart energy system modelling
Successful candidate will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between electricity markets and digital technologies in Luxembourg, together with several industrial and political stakeholders that shape our energy transition. Located at the heart of Europe, the group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., economics, business, technology), united in pursuit of sustainable solutions that positively impact and shape a low-carbon economy and society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
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
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD student position in Engineering Science
The PhD topic will aim to operate and assess a pilot on healthcare institutions (hospital in Luxembourg and Belgium) to reduce the emission of medicine residues. The treatment solutions with a focus on a combination of an Advanced-Oxidation process together with a Nature-based solution should be evaluated and compared with other tested technologies. One main goal is to optimize existing technologies, combine them into innovative treatment trains to remove pharmaceutical residues from hospital wastewater and to reduce the environmental impact of healthcare on the municipal wastewater system. Furthermore, possibilities of water-reuse within healthcare institutes and their surroundings should be explored.
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in AI and cognitive sciences
We are looking for a doctoral candidate with a strong computational, engineering, data scientific or machine learning background that is keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines.
The successful candidate will join the dynamic and interdisciplinary xCIT research group (https://xcit.org/), which is composed of researchers working on how to use and create digital technologies to study and improve human’s lives (e.g., by enhancing learning, improving mental health, teaching green skills, strengthening cybersecurity). The xCIT team is part of the Department of Behavioral and Cognitive Science of the Faculty of Humanities, Education and Social Science at the University of Luxembourg.
The xCIT research group has developed a comprehensive suite of software tools for developing and deploying online studies as well as collecting and processing the resulting datasets. These tools include video games, a modular online survey platform, a customizable cognitive assessment platform, data management and processing tools, and much more (for an overview of these technologies, see http://behaverse.org/).
Your role in this team will be to develop computational models and data analysis code to process large, multimodal behavioral datasets using both traditional methods (e.g., factor analysis) as well as more modern approaches (e.g., deep learning). The goals are to develop new computational methods that allow the scientific inference of explainable attributes to describe human behavior and self-reports as well as to make progress in the computational models of the human mind.
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidate (PhD student) in RAS cancer cell biology
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
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(12) 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.
Deadline : Open until filled
(13) 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
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Student on Cybersecurity
Depending on the ambition and abilities, in addition to being involved in the group’s research on data protection and socio-technical security design and analysis, the candidate can have the opportunity to develop their research project and to engage in interdisciplinary scientific work with the community of researchers of the University.
Successful candidates are expected to participate in the following activities:
- Conduct highly innovative research in Cybersecurity preparedness
- Publish research results and present them at international conferences
- Contribute to reports and research activities in support of project management
- Guide M.Sc. students
- Participate in a dedicated training plan
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD-student Positions in Finance
The Department of Finance at the University of Luxembourg invites students to apply for PhD-student positions in Finance.
The program follows the standard international format with rigorous coursework in the first year and for the remaining, up to five years, work on research projects that will make up the final thesis. The first year of the Ph.D. programme corresponds to the Master in Quantitative Economics and Finance (MQEF). All courses are in English and taught by local faculty and visiting scholars from renowned universities/business schools (e.g., Princeton, University of Chicago, etc.).
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
(16) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidates in Statistics and Probability
The successful candidates will be expected to conduct research under the guidance of professors (names and areas of expertise listed above), with the aim of obtaining a PhD in mathematics. They will also be expected to contribute to the department’s many activities, including seminars, teaching, outreach and various other research related events.
Our departments offer an outstanding and dynamic environments for PhD candidates, with multiple seminars, working groups, colloquia, and doctoral schools which also grant access to multiple training opportunities, including some not only focused on mathematics.
Deadline : Open until filled
(17) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in European Business Law
The doctoral researcher will be working under the supervision of Professor Thomas Mastrullo. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of business 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 Digitalisation in European Business Law. 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 person will benefit from being part of large research group comprising several PhDs and Postdoctoral Researchers working on related topics of Green and Digital Transitions in the Single Market. Being part of the project will allow the doctoral researcher to enhance the knowledge-base and experience; working on the various aspects of the project will not only strengthen the individual’s academic profile, but also give access to (and the chance to critically engage with) some of the most renowned experts in the field.
Deadline : Open until filled
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD in Psychology and Educational Technology (BriGa Project)
The successful candidate will be a member of the Department of Behavioural and Cognitve Sciences and more specifically the Institute of Health and Behaviour. The person will work under the supervision of Dr. Andreia Costa, Principal Investigator of the project “Bridging Gaps: The impact of coding on neurodiverse learners” (BriGa), funded by the André Losch Fondation.
The BriGa project aims, in collaboration with the Luxembourg Tech School (LTS), to further develop their existing coding curriculum for neurodiverse learners and assess the potential impact of coding.
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Quantum Networks
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
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate 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.
Deadline : Open until filled
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Criminal Law and Procedure – European, International or Interdisciplinary Focus
The Department of Law of the Faculty of Law, Economics and Finance of the University of Luxembourg is looking for a PhD candidate to conduct research in in the areas of criminal law and/or criminal procedure law, ideally in connection with its European, international and interdisciplinary aspects.
The doctoral researcher will be working under the supervision of Professor Stefan Braum. 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 falls within one of the above-mentioned fields and can address current issues in the area of freedom, security and justice, in particular the impact of digitalisation on national and European criminal justice systems. 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 a small research group comprising several PhDs and Postdoctoral Researchers working on related topics of European (Criminal) Law and human rights. In particular, the PhD candidate may be involved in ongoing research projects on European sovereignty (“Chaire Internationale L’Europe Souveraine à l’Université de Pau et des Pays de l’Adour”) and the development of the rule of law in the Global South. 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
(22) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Social Epidemiology/Neuroepidemiology
We seek a candidate interested in increasing our knowledge on the social determinants of cognitive ageing and dementia, specifically the interplay between sociodemographic and socioeconomic characteristics (sex/gender, education, income), lifestyle factors, and prodromal biological risk factors for neurodegenerative diseases. Outcomes could be diagnoses of mild cognitive impairment, dementia, and/or Parkinson’s Disease, or markers of brain structure and functioning, depending on the dataset. To do this, knowledge or willingness to be trained in advanced statistical modelling, ideally with an interest in methods for causal inference in observational data, is strongly preferred. Using various existing large datasets with rich information for knowledge synthetisation and triangulation over the course of the PhD project is encouraged.
The successful candidate will be affiliated with the Institute for Research on Socio-Economic Inequality within the Department of Social Sciences in the team of Prof. Dr. Anja Leist, with frequent exchange and collaboration with the Luxembourg Centre for Systems Biomedicine and the Luxembourg Institute of Health, notably the group of Prof. Dr. Rejko Krüger. Several national datasets such as the Luxembourg Parkinson’s Study and different prodromal cohorts for neurodegenerative diseases are ready for analysis.
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Real-Time Systems Security
The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/) headed by Prof. Marcus Völp. The team focuses on critical information infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve the same properties to protect for example, our energy grid.
This position is initially funded for three years (with a probation period of six months) and may be extended up to four years following positive evaluation and commitment.
The research is linked to the SASCOS project, which is a collaboration between Edge Aerospace SARL and the CritiX group at SnT to explore safety aware space computing systems for resilient information processing. The challenges we aim to address include withstanding environmental challenges by autonomously adapting to a wide range of conditions in which faults may occur, strategies and mechanisms for keeping the system operational in the most extreme situations, while meeting the workload’s performance goals, and solutions for coping with the fact that criticalities of workloads may change.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: Call for applications for PhD Candidates in Economics and Social Sciences
In the context of the Doctoral Training Unit on “Economic Insecurity: Causes, Consequences and Actions” (EICCA) established by the University of Luxembourg (UL) and the Luxembourg Institute of Socio-Economic Research (LISER), with the financial support of the Luxembourg National Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years, with a possible extension to a fourth year.
EICCA consists of an interdisciplinary group of 14 supervisors affiliated to two Doctoral Schools who present a joint strategy for research and PhD training, and provide an innovative high-quality training environment.
EICCA will train 14 social scientists from a variety of disciplinary backgrounds interested in the quantitative analyses of the causes and consequences of economic insecurity (EI) for individual’s lives and society at large, and the understanding of the role that public policies play in mitigating or amplifying the size of these impacts – this is essential for the development of adequate policy actions addressing the rise of insecurity, and therefore the improvement of individual wellbeing.
Deadline : Open until filled
(25) PhD Degree – Fully Funded
PhD position summary/title: Call for applications for PhD Candidates in Economics and Social Sciences
In the context of the Doctoral Training Unit on “Economic Insecurity: Causes, Consequences and Actions” (EICCA) established by the University of Luxembourg (UL) and the Luxembourg Institute of Socio-Economic Research (LISER), with the financial support of the Luxembourg National Research Fund (FNR) in the framework of its Program for Research Intensive Doctoral Education (PRIDE), we are currently offering 5 PhD (Doctoral Candidate) positions for a duration of up to three years, with a possible extension to a fourth year.
EICCA consists of an interdisciplinary group of 14 supervisors affiliated to two Doctoral Schools who present a joint strategy for research and PhD training, and provide an innovative high-quality training environment.
EICCA will train 14 social scientists from a variety of disciplinary backgrounds interested in the quantitative analyses of the causes and consequences of economic insecurity (EI) for individual’s lives and society at large, and the understanding of the role that public policies play in mitigating or amplifying the size of these impacts – this is essential for the development of adequate policy actions addressing the rise of insecurity, and therefore the improvement of individual wellbeing.
Deadline : Open until filled
(26) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in research project on Daily Affect Dynamics in Very Old Age
Applications for a doctoral position are invited in the research project “Daily Affect Dynamics in Very Old Age Across Time: The Role of Vulnerabilities But Also Strengths” (PI: Anna Kornadt) funded by the Fonds Nationale de la Recherche Luxembourg (INTER/DFG/24/18710673). The project is a cooperation with Humboldt University Berlin and Heidelberg University.
This project aims to investigate both strengths and vulnerabilities in very old age and to shed light on their influence on affect experience, stress reactivity and stress regulation in everyday life of very old adults. We will examine 3 samples of very old adults (80 years and older; n = 360) in Berlin, Heidelberg and Luxembourg (n = 120 at each study site). At three measurement points in 6-month intervals, the study participants will report on their resources, risk factors, health and well-being with the help of interviews. In addition, the participants will take part in a 7-day “ecological momentary assessment” at each of these three measurement points, which will collect detailed information on the dynamics of stress reactivity, but also on positive experiences and the role of strengths and weaknesses in the everyday lives of the very old.
Deadline : Open until filled
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Dependable and/or Safety Critical System
The successful candidate will join the CritiX research group (https://www.uni.lu/snt-en/research-groups/CRITIX/) headed by Prof. Marcus Völp. The team focuses on critical information infrastructures and cyber-physical systems with the aim to protect our most sensitive and valuable assets. We look into systems in the small and how we can prepare them to withstand and operate safely and securely through accidental faults and targeted cyberattacks and how large scale constellations can achieve the same properties to protect for example, our energy grid.
We are looking for PhD candidates to join the team to contribute to our research agenda and to the excellence of the group and of SnT in general.
Successful candidates are expected to participate in the following activities:
- Conduct highly innovative research in the intersection of cybersecurity and safety-critical systems, in dependability methods and solutions and in architectures and systems that support the development of such systems
- Publish research results and present them at international conferences
- Contribute to reports and research activities in support of project management
- Guide M.Sc. students
- Participate in a dedicated training plan
Deadline : Open until filled
(28) PhD Degree – Fully Funded
PhD position summary/title: PhD in molecular dynamics simulations of ion channels
Successful candidate will join the Integrative Cell Signalling Group (https://www.uni.lu/lcsb-en/research-groups/integrative-cell-signalling/), led by Prof. Alexander Skupin, which focuses on multiscale analysis of brain disorders with a focus on Parkinson’s and Alzheimer’s disease, and epilepsy by combining experimental and computational approaches.
For a collaborative project within the Institute of Advanced Science (https://www.uni.lu/research-en/ias) between the Integrative Cell signalling group and the Theoretical Chemical Physics group (https://www.uni.lu/fstm-en/research-groups/theoretical-chemical-physics/) led by Prof. Alexandre Tkachenko at the Department of Physics and Material Science, we are looking for a PhD candidate to perform molecular dynamics simulations of different genetic variants of the sodium channel Nav1.1, which are associated with different forms of epileptic syndromes and migraine. The aim of the project is to use machine-learning assisted molecular dynamics simulations incorporating quantum effects for the identification of new variant-specific drug targets which will be validated experimentally and thereby pave the way for precision pharmacology.
Deadline : Open until filled
(29) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (PhD student) in Epigenetic Control of Dopaminergic Neuron Identity
- Conduct research and prepare a doctoral thesis in epigenetic control of neuronal identity
- Carry out cell culture experiments (incl. epigenome editing) with iPS cells and differentiated neurons
- Perform functional genomics experiments (also at single cell level) and contribute to their computational analysis
- Communicate research results in international conferences and journals
- Work constructively towards collectively defined research goals together with colleagues and collaborators
- Contribute to the teaching activities at the University of Luxembourg
Deadline : Open until filled
(30) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Ultrafast Quantum Materials Physics
We are seeking a Doctoral Researcher to set up exciting experiments at the Department of Physics and Materials Science of the University of Luxembourg. In particular, we will target the development of advanced ultrafast tools and techniques with the goal to exploit them for the investigation of fundamental light-matter interaction processes occurring on the femtosecond timescale.
The doctoral student will employ and develop advanced techniques that make use of a multi-pulse approach to access several temporal and frequency dimensions for the observation of quantum interactions in materials like 2D chalcogenides. It will be possible to investigate how excitons, phonons, carriers and spins interact in complex band-structure landscapes. The main samples for the experimental studies will be layered semiconductors and heterostructures where the excitation leads to dynamical phenomena connected to quantum many-body interactions. The interest to perform these experiments lays on the potential use of these novel materials for quantum technology applications.
This project is inserted in the context of the QUANCOM Doctoral Training Unit fully funded by the Luxembourg National Research fund that aims to seed a National Quantum Initiative focused on fostering and harnessing emergent technologies enabled by the control of quantum systems to perform quantum information processing.
Deadline : Open until filled
(31) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in AI for Education
We are seeking a highly motivated PhD candidate with a strong interest or background in AI as well as in one or more of the following areas: Generative AI, Natural Language Processing, Deep learning, Large Language Models, Human-Computer Interaction, Virtual reality.
The selected candidate will work on the design and implementation of a human-computer interface to support education using an AI-based approach. The added value should be demonstrated on the basis of a concrete case study. The candidate contributes to AI4Education Focus Area of the University (see ai4edu.uni.lu).
The selected 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. Christoph Schommer and is expected to conduct research on ‘AI for Education’. A support in teaching, for example in the courses “AI for Education”, “Applications for AI”, and/or “Natural Language Processing” is expected. The selected candidate supports the AICafé, a citizen science project to elucidate residents of the country/Greater Region as well as to promote entrepreneurial thinking, with respect to organization.
Deadline : Open until filled
(32) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (PhD) in Computer Science / Information Systems Engineering on Large Language Models (LLMs)
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 emerging technologies like DLT/Blockchain, GenAI, Natural Language Processing, Machine Learning, Human-Computer Interaction, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), 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 successful candidate will pursue a Ph.D. degree (Doctorate) in computer science / information systems engineering. In this project, the aim is to bridge the gap between large language models (LLMs) and task automation, enabling natural language interaction, that is, via a chatbot, to access and control automation tools safely. In particular, architectures enabling the communication between LLMs and task automation tools as well as corresponding security and business implications will be investigated.
Deadline : Open until filled
(33) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher (PhD) in Economics
The doctoral researcher will be working under the supervision of Professor Picard. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of Quantitative Urban and/or Trade Economics. The thesis work will be undertaken at the University of Luxembourg. The suggested theme of the PhD is Quantitative Urban and/or Trade Economics. 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 Urban Economics, Trade and Migration. 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
(34) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in People-centred design (PCD) for sustainable construction
As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts.
This fully funded PhD position is focused on People-Centred Design (PCD) for Sustainable Construction. Your research will directly contribute to developing AI-driven tools and IoT-enabled systems that make buildings more energy-efficient, resource-efficient, and occupant-friendly. Potential areas of exploration include:
- AI-based decision-making techniques for sustainable construction practices
- Optimising energy usage and occupant comfort through IoT-enabled systems
- Integrating data-driven techniques with sustainable building standards for a holistic evaluation of building sustainability
- Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents
- Present findings at international events
Deadline : Open until filled
(35) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Quantum Optimisation
As a part of this collaborative research programme, you will join as one of three PhD candidates working on interconnected projects in Quantum Optimisation, People-Centred Design (PCD) for Sustainable Construction, and Sustainable Space. Each position addresses specific sustainability challenges through research and active contributions to standardisation efforts.
This fully funded PhD position focuses on exploring and developing hybrid quantum-classical algorithms to tackle sustainability challenges. Key areas include resource optimisation, energy management, and circular economy practices. Your research will involve:
- Designing hybrid quantum-classical optimisation algorithms
- Designing efficient quantum algorithms for sustainability challenges, such as energy optimisation and sustainable transport, or circular economy
- Establishing standardised benchmarks and performance metrics for quantum optimisation techniques
- Participate in relevant technical committees, consider the usage of standards, and contribute to standardisation documents
- Present findings at international events
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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