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. Doctoral candidate (PhD student) in Computer Science

Summary of Doctoral Project:

The candidate will contribute to the FNR CORE project “Give control back to users: personalised privacy-preserving data aggregation from heterogeneous social graphs” (HETERS). The project is within the Security and Trust of Software System (SaToSS) research group led by Prof. Sjouke Mauw. The purpose of the project is to aggregate and release heterogeneous social network data with the help of social network users while preserving their personalized privacy requirements. The successful candidate will conduct research with a focus on designing methods to synthesise heterogeneous social graphs with data that are privately collected and aggregated from volunteering users.

Last Application Date: Open Until Filled

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2. PhD student in Physics (halide organic/inorganic perovskites, surface science)

Summary of Doctoral Project:

The successful PhD candidate will work in the field of halide organic/inorganic perovskites. This material class is of extreme importance for the development of highly efficient and cheap single and multi-junction solar cells. The project consists of synthesizing low dimensional perovskites via multistage evaporation and to study these materials on the atomic scale with scanning probe microscopy methods, such as scanning tunneling spectroscopy and Kelvin Probe Force Microscopy. The work will be carried out under the supervision of Prof. Dr. Alex Redinger.

Last Application Date: Open Until Filled

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3. PhD candidates in MetaCognitive Radar: Next generation of Cognitive Radar

Summary of Doctoral Project:

During the past two decades, enabling cognition in radar has heralded a new era of radar system design and engineering. Cognitive radars (CRs), offer advanced sensing capabilities by simultaneously optimizing both transmit and receive processing in response to the changes in the target environment. In general, a cognitive radar is designed to apply a single specific framework or algorithm to achieve its desired performance based on a pre-determined criteria. Since radars perform a multitude of tasks such as detection, estimation and tracking, in practice, a single cognitive radar framework is insufficient to address changes in the system hardware and channel environment over long periods of time. In such cases, there has been recent efforts on going beynd the current cognitive framework leading to the emerging concept of metacognitive radar. Similar to cognition, the concept of metacognition is also borrowed from neurobiology where it denotes the process of knowing and controlling cognition. This confluence of control and learning theories in cognitive radars is a more recent development driven by the challenges in implementing advanced detection, estimation, and classification features. Considering the importance of metacognition in radar, the SPARC group has envisaged a research project and managed to acquire research funding for a PhD position.

Last Application Date: Open Until Filled

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4. PhD candidates – Spontaneous Applications for Next Generation Radar Sensing Networks

Summary of Doctoral Project:

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.

Last Application Date: Open Until Filled

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5. PhD candidate in Resilient Real-Time and Embedded Systems for Space and Ground

Summary of Doctoral Project:

SnT is a centre carrying out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with industrial, governmental or international partners. SnT is active in several international research projects funded by the Horizon2020 programme and the European Space Agency. For further information you may check: www.securityandtrust.lu CritiX (Critical and Extreme Security and Dependability) is a research group, and a laboratory for state-of-the-art research in resilient computing. Our goal is to prepare systems to automatically and autonomous operate through accidental faults and withstand targeted attacks for extended periods of time. 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!

Last Application Date: Open Until Filled

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6. PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

Summary of Doctoral Project:

In this context, the PhD candidate will be in charge of investigating innovative Machine Learning (ML)-based solutions and methodologies to predict the Remaining Useful Life (RUL) of the aircraft structure [Ra19] using, among other data sources, the data generated by the “smart skin” during the operational phase, and communicate the estimations to the end-user in the form of actionable maintenance indications. Several scientific challenges will be addressed in this PhD, spanning from the necessity to efficiently and optimally cope with (i) imbalanced data [DA22] by e.g. generating synthetic data using GAN/transformers; (ii) possible model drifts over time [Lu18] by e.g. developing ‘vigilance’ mechanisms to detect them and trigger appropriate actions (e.g., rising alerts to operators, model re-training, etc.); or still to cope with (iii) the lack of transparency and explainability of existing ML techniques [Sa19] by e.g. implementing and comparing existing eXplainable AI (XAI) frameworks when dealing with aircraft PdM and time series, and, if needed, to adapt them to our problem.

Last Application Date: Open Until Filled

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7. PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

Summary of Doctoral Project:

In this context, the PhD candidate will be in charge of investigating innovative Machine Learning (ML)-based solutions and methodologies to predict the Remaining Useful Life (RUL) of the aircraft structure [Ra19] using, among other data sources, the data generated by the “smart skin” during the operational phase, and communicate the estimations to the end-user in the form of actionable maintenance indications. Several scientific challenges will be addressed in this PhD, spanning from the necessity to efficiently and optimally cope with (i) imbalanced data [DA22] by e.g. generating synthetic data using GAN/transformers; (ii) possible model drifts over time [Lu18] by e.g. developing ‘vigilance’ mechanisms to detect them and trigger appropriate actions (e.g., rising alerts to operators, model re-training, etc.); or still to cope with (iii) the lack of transparency and explainability of existing ML techniques [Sa19] by e.g. implementing and comparing existing eXplainable AI (XAI) frameworks when dealing with aircraft PdM and time series, and, if needed, to adapt them to our problem.

Last Application Date: Open Until Filled

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8. PhD candidate in Emerging on-board processing techniques for Next Generation SatComs

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. The broader objective of the PhD project is at critically investigating the amount of GW functionality that can be transferred in the sky.

Last Application Date: Open Until Filled

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9. Doctoral candidate (PhD student) in the field of contemporary history/history of technology

Summary of Doctoral Project:

Historians have only recently started to investigate the period “after the boom”. Western societies experienced dramatic economic, societal and cultural changes since the industrial crisis of the 1970s and the following massive structural changes. In 1975, Luxembourg was hit by the steel crisis and the country’s largest employer, the steel company ARBED, threatened to cut back production and jobs at large. In the following decades, the country was oscillating between the management of industrial decline and a new boom in finance and service economy. The envisioned project will take Esch-Belval as a point of departure to investigate Luxembourg’s history after the boom. The former iron and steel works of Belval, built in 1909/11, largely refurbished and expanded after the Second World War, was partly closed in the late 1990s and transformed into a new urban district. Today, it hosts the campus of the University of Luxembourg. The project will investigate the structural changes in the country since the steel crisis, taking the entangled regional, national and transnational developments into its focus.

Last Application Date: Open Until Filled

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10. PhD candidate in Task-Oriented Communication Design for 6G Cyber-Physical Systems

Summary of Doctoral Project:

This is a fully funded position for 3 years (extendable to an additional 4th year). The successful candidate is expected to work on an emerging topic of Semantic and Task-oriented Communications Design for 6G Networks. The purpose of this project is to develop a novel communication design paradigm for multi-agent cyber-physical 6G systems which simultaneously maximizes the task effectiveness metric and the network resource usage. The developed task-oriented communication design is expected to apply to various important application domains, such as Industrial IoT, Multi-UAV systems, and multi-layer wireless networks.

Last Application Date: Open Until Filled

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How to Write Motivation Letter for PhD Program?

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 position in Linguistics/Automatic Speech Recognition

Summary of Doctoral Project:

The Faculty of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The FHSE offers four Bachelor and 15 Master degrees and a doctoral school providing students with the necessary knowledge and high-qualified skills to succeed in their future career.

Last Application Date: Open until filled

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2. 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: Open until filled

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3. 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: Open until filled

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4. 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: Open until filled

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5. 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.

Last Application Date: Open until filled

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7. 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: Open until filled

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8. 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: Open until filled

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9. Doctoral candidate (PhD student) in Computer Science

Summary of Doctoral Project:

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: Open until filled

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10. 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. 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: Open until filled

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11. PhD student in Modeling and Predicting the Resilience of Ecosystems with Software Engineering and AI using Remote Sensing from Space

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 problematics addressed by our group include the definition of software engineering methodologies for the benefits of improving the development of software applications based on machine learning. The focus of this PhD project is to perform research on the definition of a methodology supported by a tool for the modeling, simulation and prediction of the resilience of ecosystems based on data collected from space. The candidate will perform research in the framework of machine learning and of model-driven software engineering applied to the resilience of environmental ecosystems.

Last Application Date: Open until filled

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12. 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: Open until filled

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13. 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: Open until filled

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14. Doctoral researcher (PhD student) in Luxembourgish Literature

Summary of Doctoral Project:

The Faculty of Humanities, Education and Social Sciences (FHSE) brings together expertise from the humanities, linguistics, cognitive sciences, social and educational sciences. People from across 20 disciplines are working within the Faculty. Along with the disciplinary approach a very ambitious interdisciplinary research culture has been developed. The faculty’s research and teaching focuses on social, economic, political and educational issues with the common goal of contributing to an inclusive, open and resourceful society. The FHSE offers four Bachelor and 15 Master degrees and a doctoral school providing students with the necessary knowledge and high-qualified skills to succeed in their future career. The doctoral candidate will be a member of the Department of Humanities at the Faculty of Humanities, Education and Social Sciences. S/he will work under the supervision of Prof Dr Jeanne E. Glesener and assist the professor in research and teaching.

Last Application Date: Open until filled

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15. 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: Open until filled

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16. PhD Position in Android App analysis

Summary of Doctoral Project:

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD candidates in the general area of signal processing for wireless communications. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. 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. 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: Open until filled

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17. 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: Open until filled

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18. Doctoral Candidate (PhD student) in Modeling and Design of Mobile Networks Assisted by Reconfigurable Intelligent Surfaces

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 (RISOTTI – Reconfigurable Intelligent Surfaces fOr SmarT CiTIes). The objectives of the PhD project are defined in accordance with the project directions. More precisely, the PhD project aims at addressing channel modeling and characterization for mobile relays enhanced by reconfigurable intelligent surfaces (RIS) within the concept of Smart Cities. Here, one of the objectives will be to analyze various mobility profiles associated with the concept of Smart Cities. For each profile, various techniques of system modeling, such as Markov chains, machine learning, and analytical derivations, will be employed. Depending on the resulting channel models, various aspects of network design with multiple mobile RIS will be tackled via joint optimization.

Last Application Date: Open until filled

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19. PhD candidate in Computer Science (Cybersecurity) on Online Disinformation

Summary of Doctoral Project:

The research will be carried out at the Interdisciplinary Research Group in Socio-technical Cybersecurity (https://irisc-lab.uni.lu/) led by Prof. G. Lenzini, within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg. The research is part of an international project carried out in collaboration with UCLouvain and Université Saint Louis – Bruxelles (Belgium). 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: Open until filled

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20. Doctoral candidate (PhD student) in the field of contemporary history/history of technology

Summary of Doctoral Project:

Historical scholarship has only recently started to investigate the period “after the boom”. Western societies have experienced dramatic economic, societal and cultural changes since the industrial crisis of the 1970s and the following massive deindustrialization. In 1975, Luxembourg was hit by the steel crisis and the country’s largest employer, the steel company ARBED, threatened to cut back production and jobs at large. In the following decades, the country was oscillating between the management of industrial decline and a new boom in finance and service economy. The envisioned project will take Esch-Belval as a point of departure. The former iron and steel works, built in 1909/11, largely refurbished and expanded after the Second World War, was partly closed in the late 1990s and transformed into a new urban district. Today, it hosts the campus of the University of Luxembourg. The project will investigate the structural change in the country since the steel crisis, taking the entangled regional, national and transnational developments into its focus. The project will collaborate with the research group “Confronting Decline: Challenges of Deindustrialization in Western Societies since the 1970s” (CONDE) at the Leibniz Institute for Contemporary History (IfZ) in Munich. Joint workshops and conferences are planned.

Last Application Date: Open until filled

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21. 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: Open until filled

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22. Doctoral Candidate (PhD) in Computer Science on Digital Identities and Verifiable Credentials

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 who come from different disciplines (e.g., policy, business, technology) and pursue first-rate research on the design and impact of information systems. Successful candidates will have the opportunity to purse their PhD in close collaboration with Luxembourg’s Ministry for Digitalisation. In particular, they will participate in the partnership project “Digital Identities for Luxembourg”. In the course of this partnership project, they will accompany and support the Luxembourg government with the implementation of EU initiatives for a European Digital Identity and Digital Wallets. Furthermore, they will explore the implications of Digital Identities and Digital Wallets for Luxembourg’s government from an interdisciplinary perspective.

Last Application Date: Open until filled

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23. 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.

Last Application Date: Open until filled

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24. 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.

Last Application Date: Open until filled

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25. Doctoral Candidate (PhD) in Consumer Behavior in Energy Information 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.

Last Application Date: Open until filled

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26. Doctoral Candidate (PhD student) in Graph Representation Learning

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 contribute to the interdisciplinary research project “Reconstructing Gene Regulatory Networks with Neural Relational Inference”, funded by Institute for Advanced Studies (IAS) at the university. The project aims to devise data-driven deep learning methods for inferring gene regulatory networks with high accuracy from single-cell gene expression data. In the project, the successful candidate will work closely with researchers from the Department of Life Sciences and Medicine, and she/he will focus on designing and implementing network inference methods.

Last Application Date: Open until filled

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

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 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.

Last Application Date: Open until filled

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28. 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: Open until filled

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29. Doctoral Candidate (PhD student) in Gene Regulation of Dopamine Neuron Differentiation

Summary of Doctoral Project:

The successful candidate will contribute to the interdisciplinary research project “Reconstructing Gene Regulatory Networks with Neural Relational Inference”, funded by Institute for Advanced Studies (IAS) at the university. The project aims to devise data-driven deep learning methods for inferring gene regulatory networks with high accuracy from single-cell gene expression data of dopaminergic neuron differentiation and experimentally validating those networks. In the project, the successful candidate will work closely with researchers from the Department of Computer Science, and she/he will focus on performing single cell experiments and validating predictions using epigenome editing.

Last Application Date: Open until filled

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

Summary of Doctoral Project:

This project will focus on design, optimization and adaptation of a joint radar communication system for the high bandwidth high mobility scenarios. Works on an unified waveform for radar and communications is in its infancy, let alone for high mobility networks. A first research challenge, lies in determining the suitable optimization metric (Mean Square Error, Signal to Noise Ratio, Detection probability etc.). Challenges also arise in determining a parametric model for waveforms that can be used for different flavors of MIMO radar and deriving update methods (or optimizing) for the parameters in the presence of high-mobility leading to poor coherence times.

Last Application Date: Open until filled

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31. 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).

Last Application Date: Open until filled

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32. 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. The successful candidate will work with an academic supervisor from the University of Luxembourg and with an industrial supervisor from SES, and join a strong and motivated research team lead by Prof. Björn Ottersten and Prof. Symeon Chatzinotas. The candidate is also expected to spend 25% of his/her time at the SES headquarters in Betzdorf, Luxembourg.

Last Application Date: Open until filled

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33. PhD Position in Cybersecurity

Summary of Doctoral Project:

The successful candidate will join a strong and motivated research team led by Prof. Jacques Klein and Prof. Tegawendé F. Bissyandé from the University of Luxembourg, in order to carry out research to pursue a PhD on the following topic: Security Operations Centre (SOC) automation.

Last Application Date: Open until filled

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34. PhD Candidate in Security of Decentralized Finance in Ethereum Blockchain

Summary of Doctoral Project:

SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. 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: Open until filled

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35. 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. 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: Open until filled

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36. Doctoral candidate (PhD student) in Interaction Design for Collaboration Experiences

Summary of Doctoral Project:

Collaboration between team members is critical for the success of groups of people who are working or learning together. Today, there are new collaboration challenges and opportunities brought about by ICTs. The PhD candidate will contribute to the C21 programme (see details below) by developing and designing hybrid solutions (combining the design of the physical collaboration space with the digital space) for monitoring collaborative experiences and stimulating supportive actions to ensure the quality of the collaboration. The candidate will 1) help defining collaboration experience metrics, 2) develop one or multiple prototypes, integrating sensing solutions to monitor or inform the collaboration dynamics in real-time. By triangulating behavioral, contextual sensor data and self-reported data, we can inform research on factors playing a role in collaborative processes and 3) design an interface, interactive object or interactive space that feeds back information to the collaborators to support positive and productive collaborative experience. An interesting perspective here is data physicalization (physical artefacts whose material properties and aesthetics encode data).

Last Application Date: Open until filled

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37. 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. In this proposed PhD thesis topic, we aim to develop the first account ecosystem management and security analysis tool. To achieve this, we must solve foundational research questions and develop efficient algorithms as outlined below. The developed algorithms will be implemented into a fully functional prototype.

Last Application Date: Open until filled

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

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! 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.

Last Application Date: Open until filled

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39. 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.

Last Application Date: Open until filled

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40. PhD Student Position 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 (pricing, the total ownership cost (TOC), return on investment (ROI), net present value (NPV), product, market segmentation, etc.) that many Small Medium Enterprises (SME) are facing. 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: Open until filled

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41. PhD candidate in metacognition in radar

Summary of Doctoral Project:

The radar team at SIGCOM group in SnT is pursuing research on radar signal processing in partnership with national and international academic and industrial collaborators. An interesting research avenue is Beyond Cognitive Radar where in the concept of metacognition is being increasingly considered. In a fully-funded project on learning to learn, the SIGCOM research group will focus on the radar signal processing, cognitive frameworks and their selection in a metacognitive framework. It is in a unique position towards realizing the objectives of the project having exposure to the different elements through ongoing collaborative research projects, industry exposure and test-bench development activity. During the past two decades, enabling cognition in radar has heralded a new era of radar system design and engineering. Cognitive radars (CRs), offer advanced sensing capabilities by simultaneously optimizing both transmit and receive processing in response to the changes in the target environment. In general, a cognitive radar is designed to apply a single specific framework or algorithm to achieve its desired performance based on a pre-determined criteria.

Last Application Date: Open until filled

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42. Doctoral researcher (PhD) in EU data protection (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.

Last Application Date: Open until filled

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43. Doctoral Researcher on DIgitaLisation Law And Innovation / DILLAN

Summary of Doctoral Project:

In the context of the Doctoral Training Unit on DIgitaLisation Law And INnovation (DTU DILLAN) Professor Isabelle Riassetto is opening one funded PhD position. The doctoral candidate is expected to develop and work on a project relating to robo-advisory and investment funds/asset management. Topics may include (but are not limited to) Robo-advisory and Civil Liability, Robo-advisory and Suitable Investment, Robo-advisory and Compliance in the Field of Investment Funds, Artificial Intelligence and Asset Management, Robo-advisory and Investor Protection.

Last Application Date: Open until filled

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44. 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: Open until filled

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45. Doctoral researcher (PhD student) in Law

Summary of Doctoral Project:

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: Open until filled

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46. 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.

Last Application Date: Open until filled

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47. 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.

Last Application Date: Open until filled

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48. 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.  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: Open until filled

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49. 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: Open until filled

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