52 Fully Funded PhD Programs at University of Luxembourg, Luxembourg

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? University of Luxembourg, Luxembourg inviting application for funded PhD Programs or fully funded PhD Scholarship. University of Luxembourg is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

University of Luxembourg has huge a campus in Luxembourg and widely known as for its contribution in top notch education and research. The contribution of University of Luxembourg is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. PhD Candidates / Spontaneous Applications

Summary of Doctoral Project:

We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! The University of Luxembourg is continuously seeking to hire highly motivated and outstanding doctoral researchers to work on different enabling technologies for the next generation (Beyond 5G/6G) wireless communications networks for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group, led by Prof. Björn Ottersten and Prof. Symeon Chatzinotas. The SigCom research group at the SnT carries out research activities in the areas of signal processing for wireless communication systems including satellite communications and radar systems, and is rapidly expanding its research areas to various enabling technologies for beyond 5G/6G wireless networks. For details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom

Last Application Date: As soon as possible

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2. PhD candidate in Integrated Sensing and Communications for Emerging Wireless Networks

Summary of Doctoral Project:

As part of the collaboration in the emerging field of joint sensing and communications, SnT/SIGCOM is leading a research project titled, “Sensing-Aided Communication for High Mobility with High Directivity,” in collaboration with Prof. Giuseppe Caire (Technical University, Berlin) and Prof. Gerhard Kramer and Prof. Mari Kobayashi (Technical University, Munich). This research project explores the fundamental aspects of communications for sensing, sensing for communications and integrated sensing and communications from information theoretic, wireless communication and signal processing perspectives in the emerging scenario of high mobility utilizing high frequency bands (and hence directivity) is explored. This fully funded project is aimed at furthering the state-of-the-art in Beyond 5G (B5G, 6G…), pursuing joint research and envisages exchange of researchers. In the aforementioned project, SIGCOM research group will focus on the signal processing and wireless communication aspects of integrated sensing and communications. It is in a unique position towards realizing the objectives of the project having exposure to radar signal processing through ongoing research projects, evolution of communication standards through participation and contribution as well as experience with prototype chip sets from the test-bench development activity.

Last Application Date: As soon as possible

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3. PhD candidate in Machine Learning at the edge of the Smart Grid

Summary of Doctoral Project:

In this PhD thesis, the focus is on ML task offloading and resource allocation strategy under Fog-Cloud hybrid systems. More concretely, the research carried out in this thesis investigates how a given ML task can be divided into sub-tasks, and how those sub-tasks can be dynamically allocated between Cloud and Edge nodes under the multiple constraints of networking, security, computing power and energy consumption. This is known as a cost minimization problem under edge and cloud resource constraints, which is recognized as NP-hard [Ya18]. Federated and/or multi-task learning techniques will likely be considered in this respect, as they offer interesting features for task subdivision possibilities. The proposed ML task offloading strategy will be implemented and evaluated based on use case scenario defined in the (renewable) energy sector. The overall idea is to deploy the algorithm on nanogrid controllers that are limited in terms of computational capacity, memory and storage, which have to forecast future parameters such as anticipated energy demands and renewable generation outputs (e.g., predicted PV production). Note that this PhD is granted by the “Fond National de la Recherche” (FNR) in Luxembourg, which officially starts in Sept. 2022 (4-year duration) and offers possibilities of collaboration with international research institutes such as the Rochester Institute of Technology in US.

Last Application Date: As soon as possible

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4. Doctoral candidate (PhD student) in the field of Early Modern, Modern, or Contemporary European History

Summary of Doctoral Project:

The Luxembourg Centre for Contemporary and Digital History (C2DH) is a research centre for the study, analysis and public dissemination of contemporary history of Luxembourg and Europe with a particular focus on digital methods and tools for doing innovative historical research. It serves as a catalyst for innovative and creative scholarship and new forms of public dissemination and societal engagement with history. The PhD student will be a member of C²DH, the world’s largest research centre for digital history. The student will work under the supervision of Prof. Dr Sean Takats as part of his Digital History Advanced Research Projects Accelerator (DHARPA) team of technicians and researchers in the humanities and social sciences. DHARPA experiments with how technology can reshape the methodological underpinnings of history as a scientific discipline, and the team is currently developing a new digital platform for historical research along the lines of Prof. Takats’s other projects, including Tropy and Zotero.

Last Application Date: As soon as possible

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5. Doctoral candidate (PhD student) in Computer Science

Summary of Doctoral Project:

The Faculty of Science, Technology and Medicine (FSTM) 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. Your Role… The University of Luxembourg seeks to hire outstanding PhD Candidates. You will carry out research activities and write a thesis, the main goal being to obtain a PhD in the area of computer science. A possible research starting point for this PhD project is the design and implementation of evolutionary algorithms for convolutional neural network visualisation, and its application in image recognition security. Suggestions for other research topics in deep learning, and their applications in security can also be discussed. The PhD candidate will join the team of Professor Leprévost, and will be a member of the Department of Computer Science (DCS) within the Faculty of Science, Technology and Medicine at the University of Luxembourg. Part of the work time must therefore be dedicated to support teaching activities within the Computer Science Bachelor and Master programs of the faculty.

Last Application Date: As soon as possible

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6. Doctoral candidate (PhD student) in the field of Contemporary History

Summary of Doctoral Project:

The Luxembourg Centre for Contemporary and Digital History (C2DH) is a research centre for the study, analysis and public dissemination of contemporary history of Luxembourg and Europe with a particular focus on digital methods and tools for doing innovative historical research. It serves as a catalyst for innovative and creative scholarship and new forms of public dissemination and societal engagement with history. Your Role… The PhD students will be members of the research unit Contemporary History of Luxembourg within the IC Luxembourg Centre of Contemporary and Digital History (C2DH) at the University of Luxembourg. He/she will be member of the research project “Mémorial digital de la Shoah au Luxembourg” (MEMLUXSHOAH), co-funded by the C2DH and the Fondation Luxembourgeoise pour la Mémoire de la Shoah (FLMS). He/she will work under supervision of Ass. Prof. Dr. Denis Scuto.

Last Application Date: As soon as possible

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7. Doctoral candidate (Ph.D. student) focusing on the function of the human microbiome in chronic diseases

Summary of Doctoral Project:

The human gut microbiome is a complex ecosystem which contributes essential functions to human physiology. Changes to the microbiome are associated with several chronic diseases characterised by inflammatory signatures which include autoimmune and neurodegenerative diseases. The gut is a reservoir for extensive microbial “dark matter” in the form of soluble nucleic acids, (poly-)peptides and metabolites with bioactive properties. These molecules have so far eluded in-depth study. This gap in knowledge is limiting our understanding of the role of the human microbiome in governing human physiology and how changes to the gut microbiome impact inflammation-linked chronic diseases such as rheumatoid arthritis (RA) and Parkinson’s disease (PD). As part of the ERC-funded ExpoBiome project, a gut microbiome-targeted therapeutic intervention, i.e. fasting, is being performed together with leading clinical partners in Berlin (Germany) and Kassel (Germany). Based on systematically collected samples, the aim is to identify and track common and disease-specific molecular signatures to predict the outcome of the therapeutic fasting regimen. Molecules which are associated with a reduction in inflammatory markers will be further investigated for their anti-inflammatory properties including using our unique human-microbial co-culture system called HuMiX. In summary, the project will yield functional insights into the effect of gut microbiome-derived molecules on clinical manifestations and will provide pointers towards key microbiome-derived molecules to control inflammatory conditions in the future.

Last Application Date: As soon as possible

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8. Doctoral candidates in Economics

Summary of Doctoral Project:

LISER, the University of Luxembourg and STATEC invite highly qualified and motivated applicants for PhD positions within the framework of the ACROSS doctoral training unit on ‘Analysis of Cross-Border Human Mobility’, funded by the PRIDE scheme of the Luxembourg National Research Fund (FNR). ACROSS gathers economists and geographers from LISER, from the Department of Economics and Finance of the University of Luxembourg and from the Research Division of STATEC. The project seeks to develop tools to monitor, analyze and improve the understanding of the causes and consequences of cross border workers’ flows. Special attention will be given to candidates interested in the link between cross-border mobility and entrepreneurship. More information about the composition of the consortium and research objectives as well as a list of indicative research topics can be found on the temporary ACROSS webpage available by clicking here: https://sites.google.com/view/fredericdocquier/xingb-blog/across Co-promotion will be systematically encouraged within the consortium to reinforce the links between institutions. Hence, the successful candidates will benefit from expertise and knowledge offered by different members of the consortium. ACROSS builds on the Doctoral Programs of LISER and of the Doctoral School of Economics and Finance (DSEF). The present recruitment is the third cohort of a multiannual program that consists of 3 recruitment waves between 2020 and 2022 offering for each www.liser.lu cohort an intake of PhD candidates in autumn and an excellent training and mobility program over a period of maximum 4 years.

Last Application Date: As soon as possible

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9. PhD candidate in Theoretical Chemical Physics

Summary of Doctoral Project:

A PhD position is available in the Theoretical Chemical Physics (TCP, http://www.tcpunilu.com) group, led by Prof. Alexandre Tkatchenko in the Physics and Materials Science Department (DPhyMS) at the University of Luxembourg (https://wwwen.uni.lu/research/fstm/dphyms). The successful candidate will join a strong and highly-motivated research team with an excellent funding track-record in competitive national, international and European grants, including European Research Council Consolidator Grant “Beyond Static Molecules: Modeling Quantum Fluctuations in Complex Molecular Environments”. The scientific topics of research range from machine learning approaches for describing molecular potential-energy surfaces, development of improved quantum methods for the description of non-covalent interactions, path-integral approaches to dynamics of molecular systems, and synergies between these methods to interpret puzzling experimental observations and predict new phenomena in complex molecular systems.

Last Application Date: As soon as possible

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10. PhD Candidates in Computer Vision

Summary of Doctoral Project:

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.

Last Application Date: As soon as possible

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11. PhD candidate in Distributed (renewable) energy management

Summary of Doctoral Project:

Buildings account for a significant proportion of global energy demand, greenhouse gas emission (GHGE), waste generation and resource demands. Reducing GHGE can be achieved by either switching to low-carbon technologies or reducing the amount of fossil fuel energy consumed. The latter can be achieved by designing intelligent applications based on IT-technologies to efficiently integrate decentralized renewables like photovoltaic (PV) with heat pumps, electromobility, and battery storage units at the household level. In this PhD thesis, the focus is on investigating a new distributed charging optimization strategy with a shared objective of reducing GHGE under specific constraints, spanning from technological constraints (e.g., storage capacities) to financial (e.g., limited budgets) or social ones (e.g., considering inhabitant habits, agenda…). ADMM-like state-of-the-art techniques will be considered to solve this distributed charging optimization problem. The use of blockchain (Distributed Ledger Technology) technologies for energy trading purposes (as in [Wa21]) will be considered, along with their impact in terms of CO2 emitted (e.g., resulting from mining, incurred transaction fees, etc.) and financial cost (e.g., fee induced by a transaction). The proposed algorithm will be evaluated using publicly available state-of-the-art datasets.

Last Application Date: As soon as possible

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12. Doctoral 

Summary of Doctoral Project:

The Digital Medicine Research Group at LCSB is seeking a highly motivated PhD Candidate to actively contribute to the development and evaluation of new smart algorithms that will improve clinical decision support. The candidate will focus on different healthcare scenarios, from the alleviation of long Covid19 symptoms to the prevention of dementia and will identify clinical and non-clinical patterns relevant for the treatment decision making or associated with better intervention outcomes. Jointly with UX/UI designers, software developers, and clinicians the candidate will work in a multidisciplinary team and will be involved in the clinical validation of the smart algorithms and help in the translation of the developed clinical decision support tools into the general clinical practice.

Last Application Date: As soon as possible

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13. PhD candidate in Software Testing in the presence of test flakiness

Summary of Doctoral Project:

The successful candidate is intended to work on the TestFlakes (FNR-funded) project. The subject of the thesis will be “Test Flakiness Impact Assessment” with supervisor Dr. Mike Papadakis. Successful PhD candidates will extensively explore and develop software engineering techniques that include the feasibility, practicality and success evaluation of prototype implementations. The team you will be working with: Yves Le Traon: Group Leader Mike Papadakis: Primary advisor PhD Student Role: Under the direction of a professor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary experimental and simulation facilities where required; planning, executing, and analyzing experiments and simulations; conducting joint and independent research activities; contributing to project deliverables, milestones, demonstrations, and meetings; disseminating results at international scientific conferences/workshops and peer reviewed scientific publications.

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14. PhD student positions for Cloud-Based Computational Decisions

Summary of Doctoral Project:

The Cloud-Based Computational Decision (CBD) project is led by Prof. Pascal Bouvry and Dr Caesar Wu. CBD project is designed to study critical and strategic decision-making processes via cloud computing, particularly how to leverage machine learning (ML) and Artificial Intelligence (AI) for complex and ambiguous problems (e.g. revenue management, product bundles, pricing, market segmentation, sales forecasting, etc.) that many Small Medium Enterprises (SME) are facing across the high technology industries. In addition, this project will also develop humanoid and cloud robotic algorithms with Artificial Ultra Intelligence. We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role The research aims at creating an innovative and novel solution for practical and strategic decision-making to grow high technology companies. The study has three main objectives: a.) generate various knowledge representation spaces or models, b.) train the models in a cloud environment, and c.) build a prototype software with an advanced database for open access. The successful candidates will join a strong and motivated research team led by Prof. Pascal Bouvry to carry out research to pursue a PhD on the following topic: Knowledge Representations and Modeling (#1), Learning From Data (#2), and Cloud computing (#3).Effective Research Methods (#4)

Last Application Date: As soon as possible

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15. Doctoral researcher (PhD) in economics

Summary of Doctoral Project:

The doctoral researcher will be working under the supervision of Professor Michel Beine. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of the economic analysis of human mobility. 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 Essays in the economics of migration and forced displacement 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 human mobility. 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.

Last Application Date: As soon as possible

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16. Doctoral Candidate (PhD student) in Applied Artificial Intelligence and Machine Learning for Financial Advisory Services

Summary of Doctoral Project:

The successful candidate will work with an academic supervisor from the University of Luxembourg in developing AI-based financial algorithms/solutions incorporate satellite datasets for investment management, and will join a strong and collaborative research team lead by Prof. Symeon Chatzinotas. Specifically, this is a fully funded position for 3 years (extendable to an additional 4th year) within a multidisciplinary national research project (FinSAT: Automated Investment Advice using Artificial Intelligence on Satellite Data). The project goals are to analyze various satellite and socioeconomic datasets to construct AI learning models that predict the markets’ directions with interpretable decision logic that can support asset management strategies.

Last Application Date: As soon as possible

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17. PhD Position in Language Teaching/ Applied Linguistics

Summary of Doctoral Project:

The Faculty of Humanities, Educational Sciences and Social Sciences​ covers a wide range of expertise in the fields of humanities, linguistics, cognitive, social and educational sciences. Your role… The doctoral student will be a member of the Department of Human Sciences / Institute of Romanesque Studies, Media and Arts. He/she will work under the supervision of Prof. Dr. Eve Lejot.

Last Application Date: As soon as possible

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18. PhD position in Psychology

Summary of Doctoral Project:

You will be part of the Cognitive Neuroscience Research group which belongs to the COSA Institute and is interested in understanding higher-order cognitive processes and their development. We focus on numeracy and literacy in typical and atypical development, using behavioral and EEG methods. The current project « The reading brain: Understanding how neural representations for words emerge and how they are shaped by teaching methods » focusses on how the brain represents written words and acquires new lexical representations. To investigate this issue, we will assess the role of vocabulary/semantics when learning new word forms, and the behavioral and neural impact of different methods of teaching new words (especially irregular French words). It will involve behavioral and electrophysiological recordings (EEG), both in adults and in children.

Last Application Date: As soon as possible

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19. Ph.D. position in Computational Mechanics

Summary of Doctoral Project:

The successful candidate will jointhe computational mechanics group of Prof. Stéphane Bordas (www.legato‐team.eu, www.uni.lu) and will work on a project that focuses on phase-field damage modeling, rubbery polymers, and experimental validation. All work is carried out in close cooperation with the industrial partner SISTO Armaturen S.A. (www.sisto-aseptic.com, www.ksb.com). The project aims to analyze the formation and growth of micro-cracks in rubber due to fatigue loading. Recently published articles on fatigue failure of rubber show that micro-cracks nucleate at initially present natural flaws. The initial distribution of flaws and the micro-crack growth is investigated with CT-scans and interrupted fatigue tests.

Last Application Date: As soon as possible

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20. Doctoral position (PhD) on robust and generalizable machine-learning software

Summary of Doctoral Project:

Machine Learning (ML) provides engineers with the prospect of producing data-driven software, with little manual code writing. This radical change offers a unique opportunity to further automate software production, subject to the condition that we can automatically maintain this combination of conventional code with ML models by developing robust and automated update methods. The overall research objective is automating the robustification and generalization for Machine-Learning enabled systems. The main challenge is about leveraging and improving adversarial testing of ML, augmenting datasets with realistic yet adversarial cases, and generalizing the models. In that perspective, the project is closely linked with STATEC needs, as it is investigating to what extent data science and machine learning could contribute to improve their internal processes and statistical analyses. The special case of large-size datasets, typically arising from high frequency automated recording of human activites, and the way to extract its statistical essence, is of high importance for the institute. We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Last Application Date: As soon as possible

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21. Doctoral position (PhD) on automated maintenance of machine-learning enabled systems

Summary of Doctoral Project:

Machine Learning (ML) provides engineers with the prospect of producing data-driven software, with little manual code writing. We are at a turning point in the software industry, as key functionalities are no longer programmed in “the old fashioned way” but implemented by training ML models with data that reflect the expected system behaviour. This radical change offers a unique opportunity to further automate software production, subject to the condition that we can automatically maintain this combination of conventional code with ML models by developing accurate and actionable diagnosis and software update methods. One of the obstacle for adoption of machine-learning is the maintenance cost of the system after its deployment, hindering the benefit of machine-learning. The overall research objective is the automation of the corrective maintenance activities for Machine-Learning (ML) enabled systems. Indeed, we ambition to define a clear-eyed and principled methodology to automatically validate and maintain data-intensive software systems, with limited human intervention. The main challenge is coping with the specificity of systems blending conventional code-base with ML components, to (almost) automatically detect, localize and fix the faulty behaviours over time. We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place!

Last Application Date: As soon as possible

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22. Doctoral Candidate (PhD student) in Demand-based optimization of Multi-beam Satellite Communications Systems using Active Antennas

Summary of Doctoral Project:

This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project (INSTRUCT – INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with SES (https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project aims at addressing the resource optimization (power, bandwidth, frequency, time scheduling, beamforming) for sophisticated satellite system equipped with Digital Transparent Payloads (DTP) and Active Antenna Systems (AAS) able to adapt the satellite resources to the real and moving traffic conditions. The successful candidate will work under the academic supervision of Dr. Eva Lagunas (University of Luxembourg) and under the industrial supervision of Dr. Joel Grotz (SES); and join a strong and motivated research team lead by Prof. Björn Ottersten and Prof. Symeon Chatzinotas.

Last Application Date: As soon as possible

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23. PhD positions in the frame of the PRIDE grant “Active phenomena across scales in biological systems”

Summary of Doctoral Project:

The successful candidates will be expected to conduct research with the aim of obtaining a Doctorate in either Physics, Biology or Engineering Science. They will also be expected to contribute to the institution’s activities, including seminars, teaching, outreach and various other research related events. Our consortium offers an outstanding and dynamic environment for doctoral candidates, with multiple seminars, working groups, colloquia, and a doctoral school which also includes access to scientific and transferable skills training opportunities.

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24. Doctoral Researcher (PhD Candidate) on Machine Learning-based Predictive Maintenance in Industry 4.0

Summary of Doctoral Project:

Manufacturing companies in the Industry 4.0 era are increasingly looking for implementing Predictive Maintenance (PdM) to predict failures, classify faults, and optimize maintenance tasks. Artificial Intelligence (AI), and particularly Machine Learning (ML) techniques are applied to build such prediction, classification and optimization models. Although these models yield high performance in static scenarios, their performance becomes questionable during operational use due to two phenomena known as (i) “imbalanced data”: when predicting faults, the majority of the collected data/logs indicates a normal state of operation, whereas only a small fraction indicates faults; and (ii) model drifts (a.k.a, concept and data drifts): when changes happen within the statistical properties of the target class labels or within the independent features (e.g., due to perturbations resulting from a change in hardware, a defective sensor, a network malfunction, wireless interferences, etc.). While these two challenges (imbalance data & model drifts) have received significant attention in image recognition, they have been little investigated in the field of time series analysis and forecasting, which is at the heart of PdM. This PhD thesis will focus on investigating innovative approaches to progress the state-of-the-art in predictive maintenance (PdM) and Machine Learning (ML).

Last Application Date: As soon as possible

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25. Doctoral researcher in Software-Defined Vehicles

Summary of Doctoral Project:

Software has been playing a prominent role in vehicle for many years now, as a large majority of the functions of a vehicle are mostly implemented in software. Some of next generation’s Electronic Control Units (ECUs) will be equipped with powerful System-on-Chips (SOCs), each containing several multicore processors with specific capabilities (e.g., lock-step execution for safety-critical code, low-power execution, etc). Larger ECUs routinely support hypervisors hosting Virtual Machines (VM) running OSes of different types (e.g., real-time, infotainment or general-purpose OS). Besides VMs, software containers are also technologies that start being considered for use in the automotive domain to ease software update. In that landscape, a new trend is that the runtime execution platform increasingly relies on software, allowing for more modularity and providing a lot of flexibility in terms of configuration, or re-configuration after new functions have been deployed. For instance, software components executing in the VMs may communicate through software-implemented (“virtual”) network interfaces connected to a virtual Ethernet switch, i.e. software replacing the actual HW. More generally, what has been observed over the last decade is that the complexity is migrating from the hardware (in the past, vehicles sometimes had 50+ ECUs, most running a few functions) to the software (today E/E architectures tend to rely on a lesser number of powerful ECUs, with complex internal software architectures). This era of increasing reliance on software in the automotive domain is referred to as Software-Defined Vehicle (SDV).

Last Application Date: As soon as possible

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26. Doctoral researcher (PhD candidate) in Computer Science

Summary of Doctoral Project:

The Faculty of Science, Technology and Medicine (FSTM) 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. The Research Group for Computational Interaction“COIN” (led by Prof. Dr. Luis Leiva), part of the Interdisciplinary Lab for Intelligent and Adaptive Systems (ILIAS), embedded in the Department of Computer Science (DCS) of the Faculty of Science, Technology and Medicine (FSTM), is looking for a Doctoral researcher (PhD candidate) in Computer Science.

Last Application Date: As soon as possible

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27. PhD candidate in Security and Dependability of Cyber-Physical Systems

Summary of Doctoral Project:

CritiX (Critical and Extreme Security and Dependability) is a research group, and a laboratory for state-of-the-art research in a problem area that may be described as extreme computing, including the protection of critical systems and data against severe and persistent threats. We advocate resilience as a paradigm shift enabling a comprehensive approach to extreme security and dependability challenges, from first principles. For further information you may check: http://wwwen.uni.lu/snt/research/critix We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role Successful candidates will have the opportunity of shaping their PhD research around challenging and innovative research themes, as well as contributing to the ambitious research agenda of the CritiX lab. They will be given excellent conditions for the development of their research skills, in terms of working conditions, mentoring and laboratory facilities.

Last Application Date: As soon as possible

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28. PhD candidate in Resilient Real-Time and Embedded Systems

Summary of Doctoral Project:

CritiX (Critical and Extreme Security and Dependability) is a research group, and a laboratory for state-of-the-art research in a problem area that may be described as extreme computing, including the protection of critical systems and data against severe and persistent threats. We advocate resilience as a paradigm shift enabling a comprehensive approach to extreme security and dependability challenges, from first principles. For further information you may check: http://wwwen.uni.lu/snt/research/critix Your Role… Successful candidates will have the opportunity of shaping their PhD research around challenging and innovative research themes, as well as contributing to the ambitious research agenda of the CritiX lab. They will be given excellent conditions for the development of their research skills, in terms of working conditions, mentoring and laboratory facilities.

Last Application Date: As soon as possible

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29. Doctoral researcher (PhD) in Law

Summary of Doctoral Project:

The doctoral researcher will be working under the supervision of Professor Joana Mendes. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of digitalization and European public law, with a particular focus on Administrative Law. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. The suggested field of the PhD is the impact of digitalization in administrative discretion and decision-making, and the PhD should ideally dwell on foundational aspects of public law in relation to digitalisation. 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.

Last Application Date: As soon as possible

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30. Doctoral Candidate (PhD) on Financial Services Digitalization in Cooperation with a leading German IT Consultancy

Summary of Doctoral Project:

This position is part of an industry partnership between SnT and Senacor Technologies. As a specialist for business IT transformations, Senacor shapes the IT of leading financial service providers and industrial companies with more than 600 employees. Together with their customers such as Deutsche Bank, BMW, Daimler, GLS and Deutsche Bahn, Senacor creates the basis for their business of tomorrow. For years, they have been one of the fastest-growing management consultancies in Germany. Successful candidates will join a young, strong and motivated FINATRAX Research Group. The research group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations in the private or public sector. By doing so, it builds bridges between business research and information systems engineering. The group consists of doctoral and post-doctoral researchers who come from different disciplines (e.g., policy, business, technology) and pursue first-rate research on the design and impact of information systems in the financial sector.

Last Application Date: As soon as possible

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31. Doctoral Candidate (PhD) on Automotive Industry Digitalization in Cooperation with a leading German IT Consultancy

Summary of Doctoral Project:

This position is part of an industry partnership between SnT and Senacor Technologies. As a specialist for business IT transformations, Senacor shapes the IT of leading financial service providers and industrial companies with more than 600 employees. Together with their customers such as Deutsche Bank, BMW, Daimler, GLS and Deutsche Bahn, Senacor creates the basis for their business of tomorrow. For years, they have been one of the fastest-growing management consultancies in Germany. Successful candidates will join a young, strong and motivated FINATRAX Research Group. The research group conducts research on the application and the impact of digital technologies like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations in the private or public sector. By doing so, it builds bridges between business research and information systems engineering. The group consists of doctoral and post-doctoral researchers who come from different disciplines (e.g., policy, business, technology) and pursue first-rate research on the design and impact of information systems in the automotive sector.

Last Application Date: As soon as possible

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32. Doctoral Position in Economics of Blockchain-based Data Markets for eHealth

Summary of Doctoral Project:

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 like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society. Successful candidates will have the opportunity to make an important contribution to data sharing in the conformity testing of medical devices within Europe. They will carry out research in the context of the Medical Device Obligations Taskforce (MDOT) research project. MDOT is a research project funded by the EU Programme for Research and Innovation (Horizon 2020) that aims to support small and medium enterprises (SMEs) in the medical device industry to meet the requirements of the medical device regulation. In particular, we design and develop a platform that enables SMEs to collaborate on conformity tests on their medical device products, e.g., by exchanging test data about the conformity of commonly used materials.

Last Application Date: As soon as possible

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33. PhD Position in Android App analysis

Summary of Doctoral Project:

The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role The successful candidates will join a strong and motivated research team lead by Prof. Jacques Klein and Prof. Tegawendé F. Bissyandé in order to carry out research in order to pursue a PhD on the following topic: Android App Analysis

Last Application Date: As soon as possible

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34. Doctoral Researcher (PhD) in Photovoltaics

Summary of Doctoral Project:

The Faculty of Science, Technology and Medicine (FSTM) 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. The University of Luxembourg is looking for a Ph.D candidate to work within its photovoltaics cluster. The cluster comprises three groups consisting in total of around 25 researchers which investigates new concepts and materials to improve thin film solar cell performance. As part of this cluster, the laboratory for energy materials (LEM) led by Prof. Phillip Dale, focusses on new semiconductors and synthesis methods, as well as novel device designs for building integrated photovoltaic applications.

Last Application Date: As soon as possible

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35. PhD position in Psychology

Summary of Doctoral Project:

You will be part of the Cognitive Neuroscience Research group which belongs to the COSA Institute and is interested in understanding higher-order cognitive processes and their development. We focus on numeracy and literacy in typical and atypical development, using behavioral and EEG methods. The current project « The neural bases for reading in languages differing in orthographic transparency » will focus on comparing how the brain represents written words in French, German and English in monolinguals and in bi/multilinguals, and on evaluating reading acquisition in children in their first (L1) and second language (L2), according to L1 orthographic transparency. It will involve behavioral and electrophysiological recordings (EEG), both in adults and in children.

Last Application Date: As soon as possible

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36. PhD Position in Machine Learning and Simulation-based Analysis for Smart Grids

Summary of Doctoral Project:

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof. Yves Le Traon. You will contribute more specifically to a partnership project with Creos S.A., the major energy network manager in Luxembourg. The topic of the project is “Secure, Reliable and Predictable Smart Grids” and it concerns the application of machine learning and simulation techniques to predict the impact of customers’ consumption on the Luxembourgish smart grid. The project involves designing methods to simulate worst-case scenarios (such as incidents) assessing the resilience of the grid to extreme conditions. The project is held in close collaboration with Creos S.A. and, as one of the successful candidates, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes.

Last Application Date: As soon as possible

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37. Doctoral researcher (PhD) in Operations Management

Summary of Doctoral Project:

The doctoral researcher will be working under the supervision of Professor Benny Mantin, but may work with any of the professors at the LCL. The doctoral researcher’s main task will be to prepare a doctoral thesis in the fields of operations management and supply chain management. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. Suggested themes of the PhD include, but not limited to, supply chain coordination, inventory management, revenue management, transportation and logistics, and sustainable operations. The candidate is, however, welcome to suggest any other topic that fall within the expertise the faculty members of the LCL. 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 in the diverse domains of operations management. 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) diverse experts in the field. The doctoral researcher will be based at the Centre for Logistics and Supply Chain Management (LCL) that is part of the Department of Economics and Management and is a member of the MIT global Supply Chain And Logistics Excellence (SCALE) network.

Last Application Date: As soon as possible

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38. Doctoral researcher (PhD) in Operations Management

Summary of Doctoral Project:

The doctoral researcher will be working under the supervision of Professor Benny Mantin. The doctoral researcher’s main task will be to prepare a doctoral thesis in the fields of operations management and supply chain management. 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 horizontal arrangements between different firms in providing services and products. Examples of horizontal arrangements include code-sharing agreements between airlines, alliances, cost pooling agreements, as well as coordination and alignment of services and product offerings. 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.

Last Application Date: As soon as possible

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39. PhD Position in Data Science for Insurance

Summary of Doctoral Project:

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof. Yves Le Traon. You will contribute more specifically to a partnership project with Lombard International Assurance S.A. (further referred simply as Lombard). The topic of the project is “Data Science for the Insurance” and it concerns the design and implementation of AI and QA methods to support and improve the operations at Lombard. More precisely, the project investigates concrete use cases for AI and data analytics in order to develop new capabilities such as predictive analysis, client profiling, chatbots, AI-assisted software development, etc. In addition, the project team will assist Lombard in setting up a development pipeline for AI technologies that will enable and facilitate the exploration of other use cases in the future. The project is held in close collaboration with Lombard and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their Luxembourgish premises (located in Luxembourg City, in front of the airport).

Last Application Date: As soon as possible

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40. PhD position in Psychology

Summary of Doctoral Project:

The CBA Research Group forms part of the Institute of Cognitive Science and Assessment (COSA) and the Department of Behavioural and Cognitive Science. As a Research Group, we seek to explore students’ cognitive skills, personality, and environments with the use of educational technology to enable students to develop their full potential, increase the scientific understanding of a host of different target variables, and to foster lifelong learning across age levels. We do research on the theoretical understanding of these topics, conduct empirical investigations in diverse student (and other) populations, and ultimately, we ask how to foster important antecedents of later success in life. In this, we are interested in cognitive skills such as problem solving, working memory, and intelligence but also in personality components such as collaboration, motivation, or meta-cognition. In a comprehensive view of skill development, learning, and teaching, we focus on different levels of understanding including individual processes and performance outcomes, learning environments, and societal context factors employing a host of quantitative methods.

Last Application Date: As soon as possible

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41. Doctoral Candidate (PhD student) in Quantum Information Theory and Quantum Communications

Summary of Doctoral Project:

The SIGCOM research group, headed by Prof. Symeon Chatzinotas, carries out research activities in the telecommunication and networking systems, including non-terrestrial networks and quantum communication infrastructure, and is currently expanding its research activities in exploring several emerging topics of next-generation communications systems. For more details, you may refer to the following: https://wwwen.uni.lu/snt/research/sigcom We are looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you have come to the right place! Your Role The successful candidates will work with an academic supervisor from the University of Luxembourg in the theoretical aspects of quantum communication and quantum information theory, and will join a strong and collaborative research team lead by Prof. Symeon Chatzinotas.

Last Application Date: As soon as possible

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42. Doctoral researcher in Psychology

Summary of Doctoral Project:

The doctoral researcher will conduct research under the guidance of a supervisory team including local and international experts, with the aim of studying towards a doctoral degree (cumulative; i.e., based on peer-reviewed publications) in Psychology. The doctoral researcher will develop a diagnostic test for specific learning disorders in the area of reading/writing adapted to the linguistically heterogenous Luxembourgish school context (i.e. diverse language and cultural backgrounds) in the main teaching language German. In close collaboration with the national competence center “Centre pour le développement des apprentissanges Grande-Duchesse Maria Teresa”, the doctoral researcher will develop a new testing battery in German to be used for diagnostic purposes. This PhD project is embedded in a larger project concerning test development to diagnose learning disorders and as such the PhD candidate will be part of the LUCET diagnostic test development team.

Last Application Date: As soon as possible

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43. Doctoral researcher (PhD candidate) in Cryptography

Summary of Doctoral Project:

The Faculty of Science, Technology and Medicine (FSTM) 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. The successful candidate will join the Applied Crypto Group (ACG), which is led by Prof. Jean-Sebastien Coron and affiliated to the Department of Computer Science (DCS) of the University of Luxembourg.

Last Application Date: As soon as possible

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44. Doctoral Researcher on DIgitaLisation Law And Innovation / DILLAN

Summary of Doctoral Project:

The Faculty of Law, Economics and Finance offers three Bachelor programmes, four Master programmes of Management and Economics and six Masters of Laws (LL.M.), as well as several continuing education courses. It also includes the Doctoral School in Law and the Doctoral School in Economics and Finance. Around 2,500 students from 90 different nationalities are enrolled at the Faculty. Academic staff from 18 different nationalities teach at the Faculty, supported by practitioners from the field, visiting scholars and guest professors. Rooted in Luxembourg but with a European and international outlook, the Faculty counts three departments: Department of Law Department of Economics and Management Department of Finance Teaching and research benefit from the proximity of the European institutions, Luxembourg’s leading international financial centre and its vibrant business community. Institutional and private sector partnerships, sponsored Chairs and a growing network of international partner universities make the FDEF a vibrant academic hub at the heart of Europe.

Last Application Date: As soon as possible

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45. Doctoral researcher (PhD student) focusing on the development of biomolecular extraction techniques for meta-omics high-throughput experiments

Summary of Doctoral Project:

Despite ongoing efforts to increase the percentage of renewable energy resources, hydrocarbons will remain an important energy source for several decades. One of the key factors to reach EU’s ambitious goals in reduction of greenhouse gas emissions is the replacement of coal by other energy sources, mainly natural gas. Additionally, increasing global competition for resources and rising energy prices as well as price differentials between the European Union and its competitors requires energy which is sustainable, affordable and with a secure and reliable supply. Exploration for new resources within the EU are a key factor for reaching these goals. In the EU-funded FET project PROSPECTOMICS, we aim to meet these challenges by paving the way for completely novel approaches to hydrocarbon prospecting. The project will use a meta-omics (metagenomics, metatranscriptomics, and metaproteomics) approach in combination with Geochemistry, Microbiology, and Machine Learning to achieve this aim.

Last Application Date: As soon as possible

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46. Doctoral researcher (PhD student) in Law

Summary of Doctoral Project:

The Faculty of Law, Economics and Finance offers three Bachelor programmes, four Master programmes of Management and Economics and six Masters of Laws (LL.M.), as well as several continuing education courses. It also includes the Doctoral School in Law and the Doctoral School in Economics and Finance. Around 2,500 students from 90 different nationalities are enrolled at the Faculty. Academic staff from 18 different nationalities teach at the Faculty, supported by practitioners from the field, visiting scholars and guest professors.

Last Application Date: As soon as possible

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47. Doctoral Candidates (PhD students) in Radio Resource Allocation and Spectrum Management

Summary of Doctoral Project:

The SIGCOM research group is headed by Prof. Symeon Chatzinotas and Prof. Björn Ottersten. The team focuses on signal processing for satellite/wireless communications/networking and radar applications. The research on communications focuses on the formulation, modelling, design, and analysis of future communication networks (beyond 5G) that are capable of supporting new services in a cost efficient manner. In the B5G domain, SIGCOM addresses large antenna systems, multiuser MIMO systems, Non orthogonal Multiple Access, radio resource management, mmWave beamforming, physical layer security, full duplex systems, wireless power transfer, software defined networking and network automation. In the satellite domain, SIGCOM addresses transceiver design, onboard processing, active antennas, multi-beam processing, optical communications, localization, spectrum monitoring and network performance optimization. The analysis is based on traditional statistical and optimization methods, as well as learning-assisted approaches for offline training and operational system monitoring/control. The communication activities are supported by CommLab, which exploits Software Defined Radios for fast prototyping and demonstration.

Last Application Date: As soon as possible

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48. PhD Systematic approach to implementing robot autonomy in core flight software

Summary of Doctoral Project:

The successful candidate will join a young, strong and motivated SpaceR research group focused on increasing the autonomy of aerial, planetary and orbital robotics for on-earth applications, space exploration, on-orbit servicing and manufacturing and space resource utilization. This innovative research group is led by Prof. Miguel Olivares-Mendez. The candidate will carry out research to pursue a PhD in the following topic:Systematic approach to implementing robot autonomy in core flight software The candidate will be part of a partnership agreement between the SnT and Made In Space Europe. Made In Space Europe is developing robotic technologies to enable commercial activity in Earth orbit, on other planets, and beyond. One of the key advantages of using robots in space is their capability of operating autonomously with higher level operations. The ability to prepare for autonomy ready operations for future iterations of robotics flight operations is central to Made in Space Europe’s technology roadmap. Achieving baseline autonomy with simple yet fundamental robotics operations will drive maturity of the autonomy framework on a pre-defined software architecture composed by the Made in Space Europe SW team.

Last Application Date: As soon as possible

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49. Doctoral Researcher (PhD) in Applied Cryptography

Summary of Doctoral Project:

The Faculty of Science, Technology and Medicine (FSTM) 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. Your Role… Cryptolux is a team of cryptographers and security researchers interested in applied cryptography, cryptanalysis, privacy, network security, cryptographic blockchains and is led by Prof. Alex Biryukov, we are affiliated to the Departement of Computer Science (DCS) and to the Security and Trust center (SnT).

Last Application Date: As soon as possible

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50. Doctoral Candidate (PhD student) in Hybrid Satellite-Terrestrial Connectivity Solutions for Emerging IoT/ MTC Systems

Summary of Doctoral Project:

This is a fully funded position for 3 years (extendable to an additional 4th year) within a large, national research project (INSTRUCT – INtegrated Satellite-TeRrestrial Systems for Ubiquitous Beyond 5G CommunicaTions). The project is run in close cooperation with our industrial partner SES (https://www.ses.com/). Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the research interest of SES towards their next-generation of satellite systems. More precisely, the PhD project aims at investigating hybrid satellite-terrestrial techniques/architectures to provide resource-efficient and reliable connectivity to the massive number of resource-constrained and heterogeneous Internet of Things (IoT)/Machine Type Communications MTC) devices.

Last Application Date: As soon as possible

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51. Doctoral Candidate (PhD) in Computer Science on Decentralised Markets for Digital Assets

Summary of Doctoral Project:

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 like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society. Successful candidates will pursue a Ph.D. degree (Doctorate) in Informatics while assigned to the PABLO project. PABLO (“Privacy-preserving Tokenisation of Artworks”) is a research project funded by the Luxembourg National Research Fund (FNR). PABLO is a collaboration between the FINATRAX group, led by Prof. Dr Gilbert Fridgen, and the SnT’s Applied Security and Information Assurance (APSIA) group, led by Prof. Dr Peter Ryan. PABLO’s contributors will study the privacy-preserving exchange of tokenised collectibles, such as physical and digital artworks, cross-platform gaming possessions, and virtual fashion items. More specifically, PABLO’s contributors will investigate how zero-knowledge proofs enable market participants to selectively disclose the minimum amount of identity information that is required by European regulators.

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52. Doctoral Candidate (PhD) in Smart Sustainable Manufacturing Systems

Summary of Doctoral Project:

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 like DLT/Blockchain, Digital Identities, Machine Learning/AI, and IoT/5G on organisations from both the private and public sectors. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., policy, business, technology), united in pursuit of sustainable technologies that positively impact society. Successful candidates will have the opportunity to make an important contribution to shape the electricity system in Luxembourg. Therefore, candidates will be working together in a research project with creos, the major grid operator in Luxembourg. The topic of the project is Flexibility potentials and user Behaviour Analysis and the goal is to systematically assess how the different energy sectors (Industry, Households, SMEs, Mobility) in Luxembourg will react in a future electricity system which is exposed to a higher volatility. Next to these activities, successful candidates will carry out research in the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant with the topic digitalization of energy systems.

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