50 Postdoctoral Fellowship at University of Luxembourg, Luxembourg 

• Research related to the following areas: Mathematical statistics, Machine Learning, High-dimensional statistics, Robust estimation methods, Probabilistic foundations of mathematical statistics
• Consolidate the establishment of an internationally competitive research team in Mathematical Statistics and Data Science at University of Luxembourg
• The candidate is expected to take part in the scientific activities (seminars, colloquia, schools) that are organized by the ERA Chair SanDAL and the Mathematics Department of Luxembourg University
• The teaching load is approximately 67 hours per academic year

The post-doctoral researcher will be working within the Luxembourg Centre for Logistics and Supply Chain Management (LCL) and will be working under the supervision of Professor Benny Mantin, but may work with any of the professors at the LCL. In particular, the Postdoctoral Researcher will be in charge of:

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.

• Analyse statistique et qualitative de sondages dans le cadre du projet de recherche POLINDEX, observatoire visant à comprendre sur une base annuelle l’opinion économique, politique, sociale et sociétale des Luxembourgeois et des résidents au Luxembourg à partir du printemps 2023 et de manière comparative avec des études similaires tel le Baromètre de la Confiance politique réalisé en Allemagne, en France, en Italie et au Royaume-Uni depuis 2011 en langue française sous la direction du Professeur Philippe Poirier, titulaire de la Chaire de recherche en études parlementaires ;

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 offer an attractive Research Associate position in the Computer Vision, machine Intelligence and Imaging (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada to conduct exciting research in the field of Computer Vision for autonomous systems. The successful candidate will help in shaping research directions and carry out high-impact research in collaboration with experienced industrial partners. All projects require conducting full-scale experiments, including real-time implementation, data acquisition, training and validation at the SnT Computer Vision Lab (SnT Computer Vision Laboratory) and the SnT Zero-G Lab (The Zero-G Lab: Testing in Micro-Gravity Environment).

The research scientist will join the Youth Research Group, a dynamic team of researchers working on different aspects of young people’s lives from a multidisciplinary perspective.The main tasks are, firstly, to conduct and lead qualitative research in a large-scale mixed-methods project on youth and digitalization with a focus on life chances and inequalities and, secondly, to coordinate this project leading to the publication of the National Youth Report 2025. Other tasks include coordinating and contributing to the general research activities of the Youth Research Group, as well as taking on teaching assignments.

We seek a highly motivated bioinformatician or computational biologist who is well versed in the analysis of biological data and bioscientific programming for a project on the study of neurodegenerative disorders. The candidate should have experience in the analysis of large-scale biomedical data (omics, clinical or neuroimaging data), using statistical methods, pathway/network analysis and machine learning. The candidate will conduct integrative stratification analyses, focusing on omics and clinical data, and digital sensor or neuroimaging data for neurodegenerative diseases. This will include the review, set-up and application of software analysis pipelines, and the joint interpretation of disease-related data together with experimental and clinical collaborators. The project will use new biological high-throughput data from patients, healthy controls, as well as in-vitro and in-vivo disease models. With the help of statistics, machine learning and pathway- and network- and analyses, the goal is to improve the mechanistic understanding of disease-associated alterations in common neurological disorders.

The SnT is seeking a Postdoc to support the research and development work within the SEDAN group. We seek a candidate with interest and expertise in signal processing, deep learning, and wireless sensing.The candidate will work on the SoilRF project funded by the Luxembourg National Research Fund (FNR) to explore and evaluate the usability and effectiveness of LoRa radio frequency signals in soil monitoring. The research aims to propose novel methodologies across software and hardware stacks to re-use LoRa signals for soil sensing and develop a prototype system enabling soil monitoring at a low cost. The target soil properties include VWC, bulk density, and soil compositions.

The candidate will work on the SoilRF project funded by the Luxembourg National Research Fund (FNR) to explore and evaluate the usability and effectiveness of LoRa radio frequency signals in soil monitoring. The research aims to propose novel methodologies across software and hardware stacks to re-use LoRa signals for soil sensing and develop a prototype system enabling soil monitoring at a low cost. The target soil properties include VWC, bulk density, and soil compositions.

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.

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.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title:  Research Associate (Postdoc) position in Information Systems

Deadline : Open Until Filled

View details & Apply

 

Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. Our work is organised around four ‘decentralisation technologies’: Blockchain (DLT), Digital Identities, Federated Learning, and the Internet-of-Things. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., business, technology, and policy), united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects

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 offer two different career paths for research associates: academic or industry. In our academic track, research associates focus on publications, research grants, teaching experience, and community involvement, while maintaining a close relationship with industry and government to secure access to rich research data. In our industry track, research associates prepare for a career in industry, in a start-up, or public body while utilising their previous theoretical knowledge. They will build relationships with our private and public partners, while having the freedom to pursue their own ideas in an innovative and dynamic environment.

The successful candidate will join the Computer Vision, Machine Intelligence and Imaging (CVI²) headed by Prof. Djamila Aouada. CVI² offers the opportunity to work on multiple projects (projects with industrial partners such as Lift-Me Off, POST, ARTEC 3D and DataThings and/or national and international academic projects). All projects require conducting full scale experiments, including real-time implementation, data acquisition, training and validation. CVI² is a group composed of highly motivated and active members.  

The applicant will investigate how to electrodeposit metal precursor structures in patterned arrays to later be converted into inorganic semiconductors for semi-transparent and micro-concentrator solar cells. The structuring will be realised using magnetorheological electrolytes (MRE) consisting of masking and active species. The main work is to understand how to electrodeposit arrays of uniform metallic precursor thin films from both aqueous and ionic liquid MRE using a custom-built deposition chamber. Afterwards, the structure property relationships between the deposits and the semiconductor / solar cells will be investigated. The MRE and magnetic field controller will be provided by the REMAP consortium. The project will involve significant international collaboration.

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.

The SigCom research group works across the entire spectrum of blue-sky research and applied research to conceive and demonstrate future communication paradigms. Researchers with an interest in terrestrial and non-terrestrial communication systems, will find a large and vibrant team of over 70 members fostering a collaborative atmosphere. SIGCOM’s state-of-the art facilities include 4 physical laboratories: the Software Defined Networking Lab, the Communications Lab, the 5G Space Communication Lab, in addition to the SATCOM Lab of the Interdisciplinary Space Master. The group is also the recipient of numerous awards, such as the European Association for Signal Processing (EURASIP) Group Technical Achievement Award, the IEEE Communications Society Distinguished Contributions to Satellite Communications

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.

The candidate will contribute to practice-led FinTech and digital financial services assessment research, such as the assessment of financial inclusion and automatization of investment fund setups. The candidate’s research will focus on software testing, software fairness and generally the assessment of learning-based systems.

The Systems Ecology group at the LCSB is further expanding its research efforts on microbiomes and has an immediate opening for a motivated and talented postdoctoral researcher (entry- to advanced-level position) to maintain, develop, and apply bioinformatic approaches for the analysis of microbiome data (metagenomics, metatranscriptomics, metaproteomics and metametabolomics).Microorganisms are key to a myriad of biological and biotechnical processes, e.g., metabolizing otherwise undigestible substrates in the guts of their hosts or ensuring immune system homeostasis, and lipid accumulation in wastewater treatment plants. However, detailed knowledge on these processes, or how and which microorganisms specifically affect them, is often lacking. The Systems Ecology group has therefore developed wet-lab techniques to routinely generate high-throughput multi-omic data as well as corresponding dry-lab analysis tools to close these gaps in knowledge with the aim to manipulate or engineer microbiomes towards desired outcomes.

SnT carries out interdisciplinary research in secure, reliable and trustworthy ICT (Information and Communication Technologies) systems and services, often in collaboration with governmental, industrial and international partners.  SnT is active in several national projects funded by National Research Fund (FNR) and local industries, and international research projects funded by the EU FP7 programme, H2020 programme and the European Space Agency (ESA). For further information, you may check: www.securityandtrust.lu

The LCSB is strategically extending its international collaboration network and has in this context allocated funding to further develop bridges with internationally renowned centres of excellence in neurodegeneration research. It is funding several bridging post-doc positions between a research group at the LCSB and a research group at a partner institution in Europe.

The project is a comprehensive research framework study that aims at addressing key unanswered questions related to COVID-19, focusing specifically on the long-term health impact of COVID-19. SARS-CoV-2 infection is associated with alterations of the human gut microbiome composition that persists for at least six months after the initial infection. An imbalance in the gut microbiome can be linked to disease severity and an increased post-COVID-19 risk. Transfer of microorganisms from the oral and nasal cavities to the gut represent a direct link between the environment-exposed oral cavity and the indirectly exposed gut. In particular, Postdoctoral researcher will work on resolving alterations of the oral, nasal and gut microbiomes in relation to COVID-19 and long COVID, as well as analysing the association between emerging and existing COVID-19 variants along with other pathogens and alterations of the microbiome on breakthrough infections and re-infections.

The postdoc 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.

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The University was founded in 2003 and counts more than 6,700 students and more than 2,000 employees from around the world. The University’s faculties and interdisciplinary centres focus on research in the areas of Computer Science and ICT Security, Materials Science, European and International Law, Finance and Financial Innovation, Education, Contemporary and Digital History. In addition, the University focuses on cross-disciplinary research in the areas of Data Modelling and Simulation as well as Health and System Biomedicine. Times Higher Education ranks the University of Luxembourg #3 worldwide for its “international outlook,” #20 in the Young University Ranking 2021 and among the top 250 universities worldwide.

Within the University, the Luxembourg Centre for Systems Biomedicine (LCSB) is a highly interdisciplinary research centre (IC), integrating experimental biology and computational biology approaches in order to develop the foundation of a future predictive, preventive and personalized medicine.

Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group researches the impact of digital technologies like Blockchain (DLT), Digital Identities, Federated Learning, and the Internet-of-Things on both private- and public-sector organizations. Researcher at the group study and pursue sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects

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 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.

We offer an attractive Research Associate (Postdoctoral) position in 3D Computer Vision at the Computer Vision, machine Intelligence and Imaging (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada. The CVI² research group is very active in the field of 3D Computer Vision and regularly organizes relevant workshops/challenges such as SHARP (https://cvi2.uni.lu/sharp2022) which has been organized three times in conjunction with top-tier conferences (e.g., CVPR and ECCV). The successful candidate will help in shaping research directions and carry out high-impact research in a close collaboration with CVI² industrial partners such as Artec3D (www.artec3d.com) which is global leader in handheld and portable 3D scanner.  He/she will perform the following tasks:

The successful candidate will primarily contribute to the large EU research project Lux4QCI Luxembourg Experimental Network for Quantum Communication Infrastructure). The project is part of the Digital Europe Program (DIGITAL) and aims to deliver the first experimental quantum communication infrastructure (QCI) network in Luxembourg. A distinctive feature is the by-design integration between the terrestrial and the satellite segment. Lux4QCI envisions making Luxembourg a QCI front-runner and a hub for secure key distribution across the EU. To achieve those goals, Lux4QCI will identify use cases of interest for application scenarios of quantum key-distribution (QKD)-enhanced secure communications. The intended QCI will be nationally deployed through multiple terrestrial optical fibers running hundreds of kilometers and interconnecting at least 5 points of presence. The network will rely on a hybrid configuration combining multiple QKD technologies over a range of multihop topologies (e.g., star, serial, and tree). The intended architecture contains an orchestrator collocated with a node. The orchestrator consists of a network manager with SDN/network-function virtualisation (NFV) algorithms for flow management/routing, a quantum key-distribution network (QKDN) controller, which performs routing control of key relay, and a QKDN manager, which monitors the status of the QKDN and assists the key management system (KMS) for key-management operations.

The research group focuses on wireless/satellite communications and networking and is headed by Prof. Symeon Chatzinotas. The research areas focus on the formulation, modeling, design, and analysis of future 5G and beyond communication networks that are capable of supporting new services in a cost-efficient manner. Use cases of interest include IoT verticals, unmanned aerial vehicles, integrated satellite-space-terrestrial networks, quantum communications and key distribution, spectrum management and coexistence, tactile Internet, and autonomous transportation. As far as technical enablers are concerned, we leverage expertise on massive MIMO cell-free communications, smart-radio environments through the use of intelligent surfaces, machine-type and ultra-reliable and low-latency communications, edge computing and caching, RAN slicing, and network softwarization and visualization. Finally, due to the large-scale nature, complexity, and heterogeneity of 5G and beyond networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, graph theory and graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the SDR CommLab, the SDN Lab, the 5G-Space Lab, our SW Simulators, and our Facilities. For further information, you may refer to: https://wwwen.uni.lu/snt/research/sigcom

The Luxembourg Centre for Contemporary and Digital History (C²DH) is looking to hire one postdoctoral researcher to work on coproduction and participatory practices. The researcher will work under the direct supervision of Prof. Dr. Thomas Cauvin on two projects: Facing the Past. Public History for Stronger Europe (EuroPast, 70%) and Public History as the New Citizen Science of the Past(PHACS, 30%). Focusing on the production of history with a public perspective, public history has developed as one of the most dynamic international fields of the historical discipline.

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.

• Realize researches in the field of European and Comparative Labour Law, with a particular focus on remote work and working conditions
• Publication of articles in scientific reviews and contributions to conferences
• Assist with teaching activities, one to three hours a week and contribute to tutoring students
• Assist in a University of Luxembourg IAS research project focused on telework, wellbeing at work, and working conditions

Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. Our work is organised around four ‘decentralisation technologies’: Blockchain (DLT), Digital Identities, Federated Learning, and the Internet-of-Things. The group consists of doctoral and post-doctoral researchers from diverse backgrounds (e.g., business, technology, and policy), united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: https://wwwen.uni.lu/snt/research/finatrax/projects.

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.