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 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
(02) 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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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Blockchain Analytics and Data Engineering
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 digital technologies on organisations in the private and public sectors. Our team consists of international researchers with backgrounds in computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
The candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems. In the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre of Excellence in Research and Innovation, the successful candidate will work on crypto-asset transaction analysis – at the intersection of data science, blockchain technology, and financial crime prevention from an Anti-Money Laundering and Countering the Financing of Terrorism standpoint. Crypto-assets are reshaping global financial markets but also bring about significant operational and compliance risks. Preventing the misuse of the crypto-asset ecosystem is vital for safeguarding financial stability and international security. This project investigates how blockchain analytics and data engineering can enhance the detection of illicit activities across these decentralised and increasingly complex networks. By deploying and advancing techniques such as machine learning, graph-based network analysis, and synthetic data generation, the project tackles key challenges in anomaly detection, transaction classification, and overcoming label scarcity.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Information Systems: Regulatory Compliance in Digital Financial Services
Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group conducts research on the application and the impact of digital technologies on organisations in the private and public sectors. Our team consists of international researchers with backgrounds in computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/
The selected candidate will be enrolled in the PhD program in Computer Science and Computer Engineering with specialisation in Information Systems (IS). In the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant and in strong synergy and collaboration with the FutureFinTech National Center of Excellence in Research and Innovation, the successful candidate will work on the project “Regulatory Compliance in Digital Financial Services from an Information Systems Perspective” (ReFIS).
The rise of digital financial services – from mobile banking and digital wallets to decentralised finance (DeFi) and central bank digital currencies (CBDCs) – has transformed the financial landscape, bringing both opportunities and significant regulatory challenges. At the same time, regulatory activity in the European Union (EU) has intensified, with a growing body of legislation targeting digital technologies more broadly – such as the Digital Services Act, Digital Markets Act, Markets in Crypto-Assets Regulation, and the AI Act. These frameworks are reshaping how digital financial services are developed, deployed, and governed. Against this backdrop, the ReFIS project will explore how regulatory compliance is conceptualised, designed, and operationalised within the domain of digital financial services, from an IS perspective. The research will focus on the socio-technical dynamics of compliance: how technological infrastructures, institutional logics, and regulatory frameworks interact to shape compliance practices and outcomes.
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Monitoring and Control of Generative AI
The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity.
The candidate will have the opportunity to work on a collaborative project with a leading industry in cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners.
As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated into organizational workflows, they introduce new attack surfaces and vulnerabilities. Organizations often lack the tools to monitor and enforce policies governing access and usage, leaving them exposed to compliance violations and security risks. Challenges such as managing access rights, maintaining dynamic policy updates, and ensuring proper usage auditing are compounded by the evolving nature of AI technologies and associated threats.
The research project of the PhD student will thus focus on defining methods to track, monitor, and manage the use of GenAI. While this can rely on recentely proposed telemetry framework extended from cloud solutions (such as OpenLLMetry), the research question is how to identify anomalies in collected information that can come from multiple AI services either invoked manually by users or by AI agents themselves. The candidate will explore behavioural analysis techniques. Another research questions is related to the definition and application of a unified policy through both legacy IT systems and AI-based systems.
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in Security Testing of Generative AI
The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity.
The candidate will have the opportunity to work on a collaborative project with a leading industry in cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners.
As generative AI (GenAI) platforms and large language models (LLMs) are increasingly integrated into organizational workflows, they introduce new attack surfaces and vulnerabilities. Current efforts to secure these platforms are fragmented. While there exist some commercial and open-source tools, they are often adapted from traditional application security testing methodologies and fail to account for the specific challenges posed by GenAI. For example, adversarial attack testing, model inversion vulnerabilities, and API misuse scenarios are underexplored areas, lacking robust frameworks to systematically address them.
The research project of the PhD student will thus focus on defining a rigorous testing framework to bridge this gap and enable organizations to confidently deploy secure GenAI solutions by evaluating the machine-learning models intrinsically, identifying components of an AI pipeline and their vulnerabilities and provide recommendations to mitigate them.
In addition, the candidate will be also involved in project reporting and dissemination and will participate to meetings with our partner. The project is an academic project oriented but applied research. It is a unique opportunity to develop new concepts with a close collaboration with industry.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in AI-driven Threat Mitigation Recommendation
The SnT is seeking a Doctoral Researcher to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan). We seek a candidate with expertise and/or interest in the following relevant fields: artificial intelligence and cybersecurity.
The candidate will have the opportunity to work on a collaborative project with a leading industry in cybersecurity allowing thus to validate and receive feedback from on-the-field cybersecurity practitioners.
The PhD candidate will investigate how AI and above all Generative AI (GenAI) can be leveraged to support effective mitigation of cyber-threats. Indeed, AI is revolutionizing the field of cybersecurity, for instance by enabling faster and more efficient responses to evolving threats. However, despite the advancements brought by AI, there is currently no tool sufficiently intelligent to fully aggregate and utilize diverse data sources to create a comprehensive and adaptive dashboard for taking effective and strategic decisions. Indeed, deciders face the deluge of alerts and dashboard while they would expect less but more efficient and actionable insights which are particularly relevant for the environments they manage and their level of expertise because actions may be from different types and/or at different level (technical vs. organizational for example). This requires a solution to provide coherent actionable insights but tailored to their specific actioners. This will be essential to ensure an effective and collective response to threats while avoiding narrowed or unsynchronized decisions.
The research project of the PhD student will thus focus on aggregating heterogeneous OSINT (Open-Source Intelligence) sources and aggregate retrieved data with cyber-risks indicators of the targeted environment to evaluate. The main research question is how to automatically harmonize the retrieved information allowing a unique analysis and to map them against multiple user-tailored outputs. This is necessary as the one-fits-all model was proven unsuccessful.
Deadline : Open until filled
(08) 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
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(09) 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
(10) PhD Degree – Fully Funded
PhD position summary/title: Doctoral candidate (PhD student) in RAS cancer cell biology
- Conduct self-driven experimental research in the area of RAS cancer cell biology
- Participation in the doctoral programme, preparation of thesis and research articles
- Opportunity to contribute to teaching at UL
Deadline : Open until filled
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(11) 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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(12) 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
(13) 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
(14) 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
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidates in Computer Vision
We offer attractive PhD candidate positions including industrial PhD positions conducting research in close cooperation with an industrial partner.
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.
Deadline : Open until filled
(16) 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
(17) 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
(18) PhD Degree – Fully Funded
PhD position summary/title: PhD position in the Biophysics of Host-Pathogen Interactions in Chronic Diseases
The PhD position is embedded within the MICRO-PATH Doctoral Training Programme, funded by the Luxembourg National Research Fund. MICRO-PATH, or Pathogenesis in the Age of the Microbiome (https://micro-path.uni.lu) is a highly competitive, interdisciplinary, research-intensive PhD training programme, supported by the PRIDE funding scheme of the Luxembourg National Research Fund (FNR) and the programme’s partner institutions: University of Luxembourg, Luxembourg Institute of Health, and Luxembourg Institute of Science and Technology. MICRO-PATH addresses research questions based on causal and mechanistic studies of microbiome-mediated pathogenesis. This is achieved by bridging microbiology and big data analytics in a structured doctoral training environment.
The need of microbiome research in the current age lies in joining forces from multiple disciplines to focus on understanding causal and mechanistic links between the microbiome and chronic diseases alongside generalisable pathogenic effects. The vision of the MICRO-PATH doctoral training unit (DTU) is therefore to tackle these challenges in a focused way and to lay the foundation for establishing the microbiome as a therapeutic and preventative target in the future.
The human microbiome has been implicated in the initiation and progression of neurodegenerative diseases including Parkinson’s disease and Alzheimer’s disease. Within MICRO-PATH, the Physics of Living Matter Group at the DPHYMS (Research homepage) has an immediate opening for a highly motivated and talented doctoral candidate to work on the biophysics of host-pathogen interactions using in vitro model systems mimicking chronic diseases
Deadline : Open until filled
(19) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in Intellectual Property Law
The successful candidate will work under the supervision of Professor Dr Martin Stierle, with the main task of preparing a doctoral thesis in the field of IP law. In addition, the doctoral candidate will contribute to teaching activities and common projects of the research group in IP law.
The doctoral researcher will join a collegial research group comprising several PhD candidates and one postdoctoral researcher, all working on topics related to IP law. The faculty is a vibrant European IP hub with a strong research profile in European IP law, ideally located near multiple European courts, including the Court of Justice of the European Union, the General Court, and the Court of Appeal of the Unified Patent Court.
Deadline : Open until filled
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(20) PhD Degree – Fully Funded
PhD position summary/title: Doctoral researcher in quantum optimization
To this end, one PhD student will be hired to perform research in the domain of quantum computing applied to optimization problems with possible topics covering:
- Variational quantum algorithms for optimization
- Quantum annealing
- Quantum inspired optimization
- Quantum machine learning with a special emphasis on classical optimization of QML algorithms
- Noise mitigation in relation to optimization algorithms
- Other closely related topics
Deadline : Open until filled
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD position in advanced methods for metaproteomics
- Multi-omics data integration and workflow improvement
- Development and application of machine learning-based algorithms for the identification of antibiotics-associated proteins and antimicrobial peptides
- Perform and support experimental studies across the METAMIC project, including notably metagenomic sequencing of field study samples (from clinical or environmental use cases)
- Application of improved workflows in field studies
These tasks will be carried out within the Marie Skłodowska-Curie Doctoral network METAMIC 3 – Metaproteome-based leveraged microbiome management in the context of One Health. METAMIC 3 is funded by the European Commission under the Horizon Europe framework programme (Grant Agreement number 101225682).
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Chemical and Molecular Neurobiology
You will join the recently established Chemical and Molecular Neurobiology group led by Associate Prof. Ivana Nikić-Spiegel at the LCSB. Our research combines innovative approaches in protein engineering, microscopy, and chemical biology to investigate neuroimmune interactions and mechanisms underlying neurodegeneration, both through in vitro studies and in the context of neurological diseases.
We focus on understanding how axons maintain their structure and function, and how these processes break down in disease. You will have the opportunity to contribute to one of our ongoing projects addressing questions such as:
- What roles do ion channels, cytoskeletal dynamics, and axonal transport play during axonal injury and neurological diseases?
- How can minimally invasive, bioorthogonal click chemistry-based labeling strategies be further developed and optimized for live-cell imaging, super-resolution microscopy, and cell-specific proteomics?
- How do neurons, glial cells, and immune cells communicate, and how can chemical biology help us address these interactions in health and disease?
- What molecular mechanisms drive neuroinflammation and axonal damage in multiple sclerosis?
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Researcher in Interpretive and Critical Research on Social Interventions
The position is located within the Institute for Social Research and Interventions, which is dedicated to critical and multidisciplinary perspectives on societal transformation and human development. Our research brings together social theory, empirical studies guided by a range of interpretive methodologies, and the critique as well as advancement of interventions and social policies. We are committed to participatory and inclusive research practices, involving professionals, service users, activists, and policy-makers through outreach and co-productive research. We maintain the SocioLab, a platform for interpretive and critical social research, and the living lab ALICES (Agora Luxembourgeoise partICipative de l’intErvention Sociale) for organising and theorising exchanges between academics, professionals, service user and policy makers.
The successful candidate will pursue their own doctoral research project leading to a PhD within a collaborative research environment. We seek applicants with a strong interest in social theory and conceptual development, rigorous and creative empirical work, as well as experience in or curiosity about transformative, participatory, or public-facing research. Limited teaching duties in our BA and MA programmes are expected. There will be the opportunity to actively participate in wider academic life through participation in academic events.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in the Economics of Smart e-Mobility from a User Perspective
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, computer science, information systems, engineering, 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/
Candidates will be enrolled in the PhD program in Computer Science and Computer Engineering with specialization in Information Systems, which will allow a broad spectrum of interdisciplinary research.
In particular, the successful candidate will be part of the E-Mobility from an User Perspective (EMUP) project. This project aims to understand the main users of e-mobility, the factors affecting this use, and the incentives needed to encourage welfare-maximizing user behaviour in Luxembourg and beyond. EMUP will employ a data-driven approach and state-of-art methodologies to support decision-making for an optimal and smooth integration of the e-mobility sector, with specific focus on cost-effectiveness, emission reduction, and social acceptability.
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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