Multiple Positions – 26 PhD Degree-Fully Funded at University of Luxembourg, Luxembourg
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 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
(02) 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.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate in AI-driven Threat Mitigation Recommendation
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.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD candidate for Laser-welding applied to steel-cemented carbide bonds
We seek a motivated Doctoral Researcher to push the boundaries of laser-welding. Specifically steel-cemented carbide bonds shall be investigated, this field is at the intersection of material science and industrial application.
The successful candidate will be responsible for:
- Developing an experimental strategy for investigating the main parameters influencing the weld quality between steel and cemented carbides
- Conducting the previously defined experiments in lab and production environment on Laser welding machines
- Optimizing testing procedures and conducting testing of the manufactured welds
- Analyzing by advanced techniques the metallurgy of the heat effected zone to unravel microstructural secrets in these very special dissimilar material joints
- Interpreting all the obtained results
- Collaborating with industry partners to translate this relevant research into solutions for the real-world
- Mentoring students, contribute to teaching, and presenting breakthroughs at international conferences
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD student position in Engineering Science
The PhD project will focus on Energy Sector Coupling, a key component of the energy transition. In collaboration with an industrial partner — a major energy player in Luxembourg — you will contribute to the enhancement and implementation of a digital model representing the Luxembourgish and cross-border energy landscape.
The doctoral student will be a member of the Doctoral School for Science and Engineering in the doctoral programme in Engineering Sciences aiming to provide interdisciplinary and internationally competitive research training.
Your Responsibilities:
- Conduct research in the field of the Energy Sector Coupling as described above
- Collaborate with external industrial and academic partners
- Disseminate research findings through publications and conference presentations
- Contribute to teaching activities (1-2 course hours per week or equivalent through student supervision)
Deadline : Open until filled
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(06) 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
(07) 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.
Deadline : Open until filled
(08) 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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(09) 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
(10) 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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(11) 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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(12) 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
(13) 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
(14) 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
(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: 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
(18) 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
(19) 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
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(20) 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.
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 related to e-mobility (e.g., distributed generation, storage, electric vehicles, smart energy management systems, etc.) and how to design the right incentives for a welfare-maximizing e-mobility integration (e.g., tariffs, subsidies, nudges, etc.).
Deadline : Open until filled
(21) 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 organizational context of a growing, globally connected research university.
The doctoral candidate will work with Assist. Prof. Potheini Vaiouli on topics related to the processes of learning and teaching of all young learners. 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 inclusive pedagogies, learning and engagement in early childhood, music and young children’s academic and socio-emotional development, pedagogy of care and musical care, and teacher professional development.
Deadline : Open until filled
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Educational Sciences
The PhD position will be focused on conducting innovative research in the field of teacher education through the Growing schools; Growing futures project, newly funded by Œuvre Nationale de Secours Grande-Duchess Charlotte, which seeks to advance biodiversity education in Luxembourg by supporting primary teachers in implementing innovative actions with their pupils.
Growing schools; Growing futures is an initiative of the SciTeach Center, a resource center dedicated to supporting the teaching of science at the primary levels in Luxembourg. The successful candidate will both coordinate and research the Growing schools; Growing futures initiative, thereby contributing to the research program of the SciTeach Center team, led by Prof. Dr. Christina Siry.
The PhD candidate will engage in independent as well as collaborative educational research focused on in-service teachers’ engagement in innovative co-development opportunities, with a focus on sociocultural theoretical perspectives as related to teacher education. The PhD candidate will co-design and implement participatory biodiversity school actions together with teachers and pupils, and will work as a part of a dynamic research and teacher education team while being affiliated with the Institute for Teaching and Learning and situated within the Department of Education and Social Work (DESW). The position includes organizing and coteaching professional development workshops for in-service teachers.
Deadline : Open until filled
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Information Systems for Data Anonymization
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, and Machine Learning/AI 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://www.uni.lu/snt-en/research-groups/finatrax/
The successful person will pursue a Doctorate in Information Systems Engineering while collaborating on a publicly funded research project with our industry partner Encevo. In this project, the aim is to analyze and develop robust anonymization techniques that can balance privacy and data protection with data utility for a varying range of use cases and data types. The candidate will perform the work together with an interdisciplinary team of postdoctoral researchers who are experts in the field.
Deadline : Open until filled
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Candidate in Experimental Soft Matter Physics – ERC Synergy Project ALCEMIST
The ERC Synergy project ALCEMIST (lcsoftmatter.com/alcemist ) challenges the conventional engineering mindset of using motors to drive passive structural components by developing innovative materials that combine the structural features and mobility in a single component. These are liquid crystal elastomers (LCEs), unique responsive materials that reversibly change shape, colour, adhesive or damping properties, in response to stimuli like heat, light, humidity or strain. We follow a radically new approach to make powerful yet low-cost, biocompatible and biodegradable LCEs using polysaccharides as raw materials. Thanks to bond-exchange chemistry our LCEs will be re-processable and re-usable. To dramatically scale up LCEs in size as well as in number, we are developing a ground-breaking new processing approach based on flow patterning to make meter scale LCEs of complex shapes and actuation modes. ALCEMIST builds on a tight synergistic collaboration between the Experimental Soft Matter Physics group at University of Luxembourg, led by Prof. Jan Lagerwall (project coordinator), the Soft and Biofunctional Materials group at NOVA University Lisbon, Portugal, led by Prof. Maria Helena Godinho, and the Biological and Soft Systems group of Prof. Eugene Terentjev at University of Cambridge, UK. In addition to carrying out fundamental soft matter physics and chemistry innovation, we will demonstrate unconventional applications of LCEs, ranging from adhesives that can be reversibly debonded on demand and sun-powered adaptive building elements that save energy and improve indoor atmosphere, to microhearts and peristaltic vasculature that can remove the growth limits of lab-grown organs, or smart threads that give doctors critical feedback on suture tension when conducting robotic surgery.
Deadline : Open until filled
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Digital History
- Conduct a PhD Thesis
- Contribute to our dedicated Wikibase instance
- Curate and model historical migration datasets within the dedicated Wikibase instance
- Contribute to the design of ontologies and metadata schemas for the knowledge graph
- Develop data-driven case studies exploring migration trajectories
- Collaborate with interdisciplinary teams, including historians, data scientists, and archivists
- Participate in the dissemination of research through academic publications, conferences, and public-facing digital platforms
- Contribute to the research project’s open science and reproducibility efforts through documentation, GitHub repositories, and notebooks
Deadline : Open until filled
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Photovoltaic Materials
This position is inside the SPETRA doctoral training unit which investigates new materials, methods and concepts for converting sunlight into usable energy sources.
Inorganic Chalcogenide Perovskite materials are earth abundant, non-toxic and extremely stable making them ideal candidates for use as absorber layers for tandem and indoor photovoltaic applications. The student will investigate the synthesis of powders and thin films with the aim to investigate their fundamental opto-electronic properties using state of the art instrumentation as well as fabricate functioning demonstrator devices. The project will involve significant collaboration, sample exchange, semiconductor and device characterisation.
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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