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47 PhD Degree-Fully Funded at University of Luxembourg, Luxembourg

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University of Luxembourg, Luxembourg invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at University of Luxembourg, Luxembourg.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: Doctoral candidate (PhD student) in ultra-reliable and energy-efficient intra-avionic wireless communication systems

AVATAR project has the goal to create a Digital Twin by continuously monitoring the operation of transformative air vehicles (TAV) through an innovative smart IoT sensing skin, informed by accurate physical models and advanced analytics, resulting in reduced direct operative costs, extended service life and safer skies. In this context, one of the main project axes that will be investigated is the ultra-reliable intra-avionic wireless communication systems. These latter have been hardly adopted in aviation where most intra-avionic connectivity relies on wired technologies. The raison is that current wireless technologies are not able to support the diversified requirements (e.g. reliability, energy efficiency, resilience to interference) for various air vehicle applications.

Deadline : Open until filled

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Computer Science within FNR-funded Doctoral Training Unit on Explainable Artificial Intelligence (XAI) in Digital History (D4H)

The selected applicant will be integrated into AI Robolab led by Prof. Leon van der Torre. The applicant will be a member of the Doctoral School in Science and Engineering (DSSE), which offers a doctoral programme in computer science that aims to provide interdisciplinary and internationally competitive research training.

Deadline : 02 October 2022.

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(03) PhD Degree – Fully Funded

PhD position summary/title: Doctoral candidate (PhD student) in the field of contemporary history/history of technology

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.

Deadline : Open until filled

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Emerging on-board processing techniques for Next Generation SatComs

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. In particular, the PhD project would be looking into one or more of the following avenues

  1. Feeder link signal packing to enable better utilization of feeder links in next generation High Throughput Satellites (HTS) without increasing the number of gateways
  2. Onboard routing and beamforming based on signal inband information
  3. Joint optimization of beamforming and precoding with potential links to the SIGCOM lab demonstrator
  4. 5G/6G processing onboard the satellite

Deadline : Open until filled

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

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.

Deadline : Open until filled

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Machine Learning for Digital Twin in Aerospace Industry

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.

Deadline : Open until filled

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Resilient Real-Time and Embedded Systems for Space and Ground

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.

Deadline : Open until filled

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD candidates – Spontaneous Applications for Next Generation Radar Sensing Networks

The group has been working on next generation radar sensors in different applications, including  automotive, autonomous vehicles, in-cabin monitoring, occupancy sensing, drones, multi-copters, gesture recognition, smart buildings, smart street lighting, smart factories, healthcare and robotics. The emerging radar sensors that are in use by the group, are using multiple input multiple output (MIMO) technology and can be connected to build distributed and co-operative sensing networks.   SPARC group has further expanded its research to integrated sensing and communications, weather radar systems and metacognitive radars,. To develop the signal processing techniques, the group researchers are using real data captured by the available radar modules at the lab, or the custom built MIMO radar with flexibility of changing the transmit waveform and signal processing units on the fly.  Its members have been involved in a number of seminal papers in the area of waveform optimization, vital signs monitoring, joint radar and communications, sparse arrays, interference modeling, 4D radar imaging, distributed sensing, and tracking. SPARC has also collaborating with long term industry partner IEE S.A (www.iee.lu) , University of Naples Federico II, US Airforce Laboratories, TU Berlin and TU Munich among others.

Deadline : Open until filled

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD candidates in MetaCognitive Radar: Next generation of Cognitive Radar

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.

Deadline : Open until filled

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD student in Physics (halide organic/inorganic perovskites, surface science)

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.

Deadline : Open until filled

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(11) PhD Degree – Fully Funded

PhD position summary/title: Doctoral candidate (PhD student) in Computer Science

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.

Deadline : Open until filled

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD candidate in Task-Oriented Communication Design for 6G Cyber-Physical Systems

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.

Deadline : Open until filled

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(13) PhD Degree – Fully Funded

PhD position summary/title: Doctoral candidates in Statistics and Probability

The successful candidates will be expected to conduct research under the guidance of professors (names and areas of expertise listed above), with the aim of obtaining a PhD in mathematics. They will also be expected to contribute to the department’s many activities, including seminars, teaching, outreach and various other research related events. Our departments offer an outstanding and dynamic environments for PhD candidates, with multiple seminars, working groups, colloquia, and doctoral schools which also grant access to multiple training opportunities, including some not only focused on mathematics.

Deadline : Open until filled

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD student in Physics (Solar Cells)

The PhD student will be a member of the Department of Physics and Materials Science within the Faculty of Science, Technology and Medicine at the University of Luxembourg. She or he will perform research under the supervision of Prof. Dr. Siebentritt.

Deadline : Open until filled

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidates in Computer Vision

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.  CVIoffers 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. CVIis a young group composed of highly motivated and active members. Their work focuses on innovative research topics such as 3D shape modelling, 6DOF object pose estimation, human behavior understating, and deep learning and is disseminated in top-tiers venues.

Deadline : Open until filled

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(16) PhD Degree – Fully Funded

PhD position summary/title: Doctoral candidate (Ph.D. student) focusing on the function of the human microbiome in chronic diseases

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.

Deadline : Open until filled

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidates / Spontaneous Applications

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

Deadline : Open until filled

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(18) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD student) in Computer Science

The successful candidate will be part of the Collaborative and Socio-Technical Systems group (COaST), which operates the VR/AR Lab with cutting-edge technology for immersive experiences. Working under the supervision of Dr. Jean Botev and Prof. Steffen Rothkugel, the candidate will engage in research related to the various educational systems developed within the COaST group, including the collaborative, context-aware mobile training and exploration framework CollaTrEx.

Deadline : Open until filled

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(19) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Researcher on DIgitaLisation Law And Innovation / DILLAN

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.

  • The doctoral candidate will conduct research under the guidance of Prof. Riassetto with the aim of studying towards a PhD in Law
  • The doctoral candidate will publish research results and present them at conferences, workshops, etc
  • S/he shall contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and tutorials

Deadline : Open until filled

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Linguistics

We are interested in empirical projects which investigate linguistic diversity focusing on language acquisition and multilingual pedagogy in higher education in the University’s official languages German, English, French (and Luxembourgish). Projects dealing with a single language will only be considered if they contain a major descriptive or typological component of German. The final form of the dissertation project will be determined in collaboration with the supervisor Birgit Huemer.

Deadline : Open until filled

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(21) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Researcher in Financial History

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.

Deadline : 31 October 2022.

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(22) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Researcher (PhD student) in the field of ancient history / archaeology

The successful candidate will become a member of the Doctoral Training Unit “Deep Data Science of Digital History” (D4H). This interdisciplinary DTU focuses on multiple challenges at the intersection between the disciplines of history and data science. The DTU will train a new generation of digitally literate PhD students to deal with “big data of the past” in a critical and competent way, combining the epistemic tradition of close reading with machine-based methods of distant reading (“scalable reading”). It aims to develop a shared understanding of the human/machine nexus in collecting, curating, managing, analysing, interpreting, and visualizing historical data and to problematize the multi-layered temporalities of datasets and experiment with new forms and formats of historical models and simulations in a longue-durée / deep time perspective.

Deadline : Open until filled

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(23) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Researcher (PhD student) in the field of medieval and/or early modern history / historical cartography

The successful candidate will become a member of the Doctoral Training Unit “Deep Data Science of Digital History” (D4H). This interdisciplinary DTU focuses on multiple challenges at the intersection between the disciplines of history and data science. The DTU will train a new generation of digitally literate PhD students to deal with “big data of the past” in a critical and competent way, combining the epistemic tradition of close reading with machine-based methods of distant reading (“scalable reading”). It aims to develop a shared understanding of the human/machine nexus in collecting, curating, managing, analysing, interpreting, and visualizing historical data and to problematize the multi-layered temporalities of datasets and experiment with new forms and formats of historical models and simulations in a longue-durée / deep time perspective.

Deadline : Open until filled

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD position “Natural Language Processing and Machine/Deep Learning for Digital History”

The selected applicant will be integrated into Prof. Schommer’s research group. The applicant will be a member of the Doctoral School in Science and Engineering (DSSE), which offers a doctoral programme in computer science that aims to provide interdisciplinary and internationally competitive research training. The candidate is one of 18 PhD students within D4H and will work within the FNR-funded research training group “Deep Data Science of Digital History”. This interdisciplinary DTU focuses on various challenges at the interface between the disciplines of history, AI, data science and human-computer interaction. D4H involves the Centre for Contemporary and Digital History (C²DH) of the University of Luxembourg, the Department of Computer Science of the Faculty of Science, Technology and Medicine (FSTM), the Institute of History (IHIST) of the Faculty of Humanities, Education and Social Sciences (FHSE), the Luxembourg Institute of Science and Technology (LIST) and the Institute of Socio-Economic Research (LISER).

Deadline : Open until filled

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Machine Learning applied to Predictive Vehicle Maintenance

The successful candidate will join the 360Lab, led by Prof. Raphaël Frank and part of the SEDAN Research Group. More specifically, you will contribute to a partnership project with Motion-S (www.motion-s.com), a mobility data analytics company. The topic of the project is “Predictive Maintenance for Vehicles”. The goal of the project is to do predictive analysis of both historical connected car and maintenance data for a relevant number of vehicles, with the goal of producing several predictive models for individual components and assessing the car wear as a whole. Moreover, the project will consider a set of mechanisms to allow continuous learning and improvement of the models based on live data. The project is held in close collaboration with Motion-S and, as the successful candidate, you will be expected to spend an appreciable amount of your time in their premises located in the southeast of Luxembourg (Mondorf-Les-Bains).

Deadline : Open until filled

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(26) PhD Degree – Fully Funded

PhD position summary/title: Doctoral researcher (PhD candidate) in Computer Science

The successful applicant will be integrated in the research group COIN, a recently established research group in the University of Luxembourg. The doctoral student will be a member of the Doctoral School for Science and Engineering (DSSE) offering a Doctoral Program in Computer Science, aiming to provide interdisciplinary and internationally competitive research training.

Deadline : Open until filled

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(27) PhD Degree – Fully Funded

PhD position summary/title: Doctoral researcher (PhD candidate) in Computer Science within FNR-funded Doctoral Training Unit Deep Data Science of Digital History (D4H)

The successful applicant will be integrated in the research group COIN, a recently established research group in the University of Luxembourg. The candidate will be a member of the Doctoral School in Science and Engineering (DSSE) offering a Doctoral Program in Computer Science, aiming to provide interdisciplinary and internationally competitive research training. The candidate will work in the context of the FNR-funded Doctoral Training Unit (DTU) “Deep Data Science of Digital History” (D4H). This interdisciplinary DTU focuses on multiple challenges at the intersection between the disciplines of History, AI, Data Science, and Human-Computer Interaction. D4H involves the University of Luxembourg’s Centre for Contemporary and Digital History (C²DH), the Faculty of Science, Technology and Medicine (FSTM)-Department of Computer Science, the Institute of History (IHIST) of the Faculty of Humanities, Education and Social Sciences (FHSE), the Luxembourg Institute of Science and Technology (LIST) and the Institute of Socio-Economic Research (LISER).

Deadline : Open until filled

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(28) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD) in Economics/Management in the Electricity System

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. 

Deadline : Open until filled

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(29) PhD Degree – Fully Funded

PhD position summary/title: Doctoral researcher in Psychology (DE / EN)

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.

Deadline : Open until filled

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(30) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD student) in System Optimization of Large Satellite Constellations

This is a fully funded position within the national project MEGALEO: “Self-Organized Lower Earth Orbit Mega-Constellations”, whose Principal Investigator is Prof. Chatzinotas. Therefore, the objectives of the PhD project are defined in accordance to the project directions, and also aligned with the new trends of non-geostationary satellite constellations. More information on the MEGALEO project can be found in:  https://wwwfr.uni.lu/snt/research/sigcom/projects/megaleo

Deadline : Open until filled

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(31) PhD Degree – Fully Funded

PhD position summary/title: Doctoral researcher (PhD) in Law

The doctoral researcher will be working under the supervision of Professor Mark Cole with the aim of studying towards a PhD in Law. The doctoral researcher’s main task will be to prepare a doctoral thesis in the field of regulation of machine learning technologies and specifically possibilities and limitations of an EU framework in this context. The thesis work will be undertaken at the University of Luxembourg but can also be jointly-supervised with another university. The doctoral candidate will publish research results and present them at conferences, workshops, etc.  S/he shall contribute to the teaching of classes ranging from one to three hours per week, of small group teachings and tutorials.

Deadline : Open until filled

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate in Early Childhood Music Education

The PhD position will be focused on conducting mixed-method research in Early Childhood Music Education, focusing on learning how to play a musical instrument in the early years (5-8) and on the role of the body and body movement in the instrumental music learning process.

The successful applicant will work in the field of Early Childhood Music Education and will contribute to the research program led by Prof. dr. Luc Nijs, while being affiliated to the Institute of Musicology and Arts, situated within the Department of Education and Social Work (DESW). The PhD candidate will engage in independent as well as collaborative music educational research.

Deadline : Open until filled

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Music and Gender History

The doctoral candidate will be a member of the Department of Humanities / Institute of History. S/he will work under the supervision of Associate Prof. Dr Sonja Kmec and participate in the project “Musik und Gender in Luxemburg” (https://history.uni.lu/mugilux/).

Deadline : Open until filled

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD positions at C2DH within FNR-funded Doctoral Training Unit “Deep Data Science of Digital History” (D4H)

The seven PhD students based at C2DH will be a member of the Digital History research axe of the C²DH / University of Luxembourg and be enrolled in the Doctoral School of Humanities and Social Sciences (DHSS). All applicants should carefully read the extended research proposal of the DTU which is made available at https://dhh.uni.lu/d4h and submit an idea for a PhD project that fits into the conceptual framework of the DTU (one of the three research pillars). Applicants are invited to look at the profiles of the supervisors (also made available on the website) and – depending on the proposed field / topic – propose one or two supervisors which expertise would match the topic best.

Deadline : Open until filled

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(35) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD student) in Psychology/Human-Computer Interaction: Online Disinformation

As part of the Human-Computer Interaction Group, you will conduct research for a doctoral thesis positioned in psychology / human-computer interaction, supervised by Prof. Vincent Koenig.

The project partners are interested in investigating how fake news is reproduced and disseminated via different media channels and how innovative tools may help users online to tell legit information apart from disinformation. The partners will develop fact-checking instruments, and you are needed to ensure the trustworthiness of a piece of information can be communicated effectively to the users.

Deadline : Open until filled

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(36) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD) in Computer Science on Digital Identities and Verifiable Credentials

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. 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.

Deadline : Open until filled

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(37) PhD Degree – Fully Funded

PhD position summary/title: PhD positions in the frame of the PRIDE grant “Active phenomena across scales in biological systems”

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.

Deadline : Open until filled

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(38) PhD Degree – Fully Funded

PhD position summary/title: Doctoral position (PhD) on automated maintenance of machine-learning enabled systems

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.

Deadline : Open until filled

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(39) PhD Degree – Fully Funded

PhD position summary/title: Ph.D. position in Computational Mechanics

The successful candidate will jointhe computational mechanics group of Prof. Stéphane Bordas (www.legato‐team.euwww.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.comwww.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. These results are used to develop a fatigue phase-field damage model for this scale. Key points are:

  • Measure the initial flaw size with CT-scans
  • Study the mirco-crack growth with interrupted fatigue tests with CT-scans
  • Fatigue tests with samples with artificially introduced flaws
  • Develop a fatigue phase-field damage model for micro-scale simulations
  • Parameter calibration and validation of the numerical model with experimental data
  • Quantify the effect of defect size and distribution

Deadline : Open until filled

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(40) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD student) in Quantum Information Theory and Quantum Communications

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. In particular, the position holder will be required to perform the following tasks:

  • Contribute to the development of novel algorithms/mathematical techniques for quantum communication systems
  • Provide fundamental contributions in the general field of quantum information sciences with special attention to quantum communications
  • Carry out research in the predefined areas
  • Disseminate results through scientific publications
  • Present results in well-known international conferences and workshops

Deadline : Open until filled

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(41) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Machine Learning and Simulation-based Analysis for Smart Grids

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.

Deadline : Open until filled

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(42) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Psychology

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.

Deadline : Open until filled

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(43) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Researcher (PhD) in Photovoltaics

LEM is seeking a Ph.D candidate to investigate new semiconductor deposition methods for thin film solar cells with proposed application of building integrated photovoltaics. The candidate will join the doctoral programme in physics and materials science. The tasks of the candidate include

  • Synthesis, materials and device characterization
  • Publishing research papers and presenting at international conferences
  • Writing a Ph.D thesis
  • Providing support to masters students and visiting researchers
  • Teaching and outreach opportunities

Deadline : Open until filled

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(44) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Position in Economics of Blockchain-based Data Markets for eHealth

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.

Deadline : Open until filled

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(45) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD) on Automotive Industry Digitalization in Cooperation with a leading German IT Consultancy

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. 

Deadline : Open until filled

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(46) PhD Degree – Fully Funded

PhD position summary/title: Doctoral Candidate (PhD) on Financial Services Digitalization in Cooperation with a leading German IT Consultancy

his 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. 

Deadline : Open until filled

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(47) PhD Degree – Fully Funded

PhD position summary/title: Doctoral researcher (PhD) in Law

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.

Deadline : Open until filled

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About University of Luxembourg, Luxembourg –Official Website

The University of Luxembourg is a public research university in Luxembourg.
The University of Luxembourg was founded in 2003, by combining four existing education and research institutes.

The university offers fourteen bachelor’s degrees, forty-two master’s degrees, and doctorates. Students at the university getting a bachelor’s degree are required to spend one semester abroad. The university also offers sixteen vocational training and lifelong learning training courses.

The university is multilingual. Courses are generally taught in two languages, being French and English or French and German. Some courses are taught in three languages and some courses are taught entirely in English.

The university has three faculties, the Faculty of Science, Technology, and Medicine; the Faculty of Law, Economics, and Finance; and the Faculty of Humanities, Education, and Social Sciences, and three interdisciplinary centers, the Interdisciplinary Centre for Security, Reliability and Trust; the Luxembourg Centre for Systems Biomedicine; and the Luxembourg Centre for Contemporary and Digital History. All the faculties offer baccalaureate, masters, doctoral, and vocational programs.

 

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