28 Postdoctoral Fellowship at University of Luxembourg, Luxembourg

The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Quantum Information Networks, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G networks, for their analysis and optimization, we use tools such as artificial intelligence/machine learning, quantum conputing, graph theory, graph-signal processing, and convex/non-convex optimization. Furthermore, our activities are experimentally driven and supported by the COMMLab, the 6GSPACE Lab, the HybridNetLab, the QCILab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/.

We offer an attractive research associate (postdoc) position in the context of a collaborative research project with the European Investment Bank (EIB) group, supported by the STAREBEI (STAges de REcherche BEI) program.

The successful candidate will join the SVV research group, headed by Prof. Domenico Bianculli.

The group focuses on the development and design of reliable, safe, and secure software systems, carrying out both upstream activities such as requirements quality assurance and regulatory compliance, as well as downstream verification & validation activities, such as software testing and runtime verification. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/svv

The successful candidate will work with Prof. Domenico Bianculli, Dr. Sallam Abualhaija, and co-tutors from the EIB group.

The SigCom research group of SnT, headed by Prof. Symeon Chatzinotas, focuses on wireless/satellite communications and networking. The research areas focus on the formulation, modeling, design, and analysis of future 6G communication networks that are capable of supporting new services for digital ecosystems. Use cases of interest include Security and Efficient Wireless Communication Solutions, IoT verticals, Unmanned Aerial Vehicles, Integrated Satellite-Space-Terrestrial Networks, Quantum Communications and Key Distribution, Spectrum Management and Coexistence, Tactile Internet, Earth Observation, and Autonomous Transportation. As far as technical enablers are concerned, we leverage expertise on advanced technologies including semantic/task-oriented data processing, signal processing, network resource management to improve the performance of the future wireless communication systems. Finally, due to the large-scale nature, complexity, and heterogeneity of 6G 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 COMMLab, 6GSPACE Lab, HybridNetLab, QCILab, TelecomAI Lab, CSAT Lab, our SW Simulators, and our Facilities. For further information, you may refer to https://www.uni.lu/snt-en/research-groups/sigcom/.

The successful candidate will join the SIGCOM Research Group and contribute to AI-related projects at the intersection of advanced AI techniques – including Foundation Models/ Large Language Models, Generative AI, Federated and Decentralized Learning, Neurosymbolic and Hybrid AI, Self-Supervised and Few-Shot Learning – and their integration into wireless communications and edge computing systems. The position offers an exciting opportunity to engage in cutting-edge research that addresses both theoretical challenges and practical applications.

Our collaborative group, composed of the MDM group at the University of Luxembourg, led by Prof. Letellier and the laboratory of Prof. Tejpar at the KU Leuven, investigates stromal–epithelial crosstalk in colorectal cancer initiation, progression and therapy resistance. Using state-of-the-art single-cell RNA sequencing (scRNAseq) and spatial transcriptomics on CRC patient samples, we have identified novel epithelial cell states and distinct cancer-associated fibroblast subpopulations.

The primary research focus will be to define how fibroblasts from healthy colon tissue transition into distinct CAF subtypes and how these subtypes regulate epithelial plasticity and immune responses, promoting tumor progression and therapy resistance. This work will integrate spatial transcriptomics, advanced co-culture organoid assays, and in vivo models to decode the mechanisms underlying CAF-driven CRC evolution. Access to single cell RNA sequencing and spatial transcriptomics data from active clinical trials through the group of Prof Tejpar will put the postdoc in an ideal position to understand how the stromal interactions change under current novel treatments and could be harnessed as future therapies.

The postdoctoral fellow will work jointly between the University of Luxembourg and the KU Leuven, benefiting from a highly collaborative, interdisciplinary environment, and contributing to the TARGET-SEC project’s overarching goal of identifying novel therapeutic strategies targeting pro-tumorigenic stroma–epithelial interactions in CRC.

The person will focus on applying innovative bioinformatics approaches to human-relevant models and unique patient-derived tissue cohorts from colorectal cancer. The aim is to dissect the tumor “ecosystem” with a particular emphasis on epithelial cells, cancer-associated fibroblasts and immune cells, and to comprehensively profile their phenotypic and functional heterogeneity, lineage plasticity, and evolutionary dynamics.

The human microbiome represents a reservoir of pathogen-associated genes, more specifically virulence factors (VFs), including toxins, antimicrobial resistance genes (ARGs) and biosynthetic gene clusters (BGCs). Studies focusing on the role of these infection-mediating genes are typically limited to specific pathogenic taxa and seldomly consider the overall infective competence represented by them in the context of the microbiome. Here, using a triptych approach leveraging in silico, in vitro and in vivo methods, we aim to specifically and systematically characterize and validate microbiome-borne VFs, implicated in human diseases, with a particular focus on cancer. Our findings will broadly expand our current knowledge regarding the infective competence of the human microbiome. Overall, the project will expand our view on the functional role of the human microbiome in health and disease. This project is funded by the FNR (National Research Fund) and carried out in collaboration with Prof. Paul Wilmes at the Luxembourg Centre for Systems Biomedicine (UL) and Rob Finn at EMBL-EBI in the UK, both involved in the identification of VFs through computational biology, as well as Kim Remans at EMBL in Germany, who is responsible for the generation of purified proteins. The MDM group at UL is responsible for validating the identified VFs and investigating their mechanisms using relevant in vitro and in vivo cancer models.

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 on organisations in the private and public sectors. Our team consists of international researchers with backgrounds in computer science, engineering, information systems, economics, management, law, and other fields, united in pursuit of sustainable technologies that positively impact society. For more information, please visit our website: www.uni.lu/snt-en/research-groups/finatrax/

In the context of Prof. Fridgen’s PayPal-FNR PEARL Research Grant and the FutureFinTech National Centre of Excellence in Research and Innovation, the successful candidate will work at the intersection of data science, blockchain technology, and financial crime prevention, performing the following tasks:

• Conduct and supervise cutting-edge interdisciplinary research building on the analysis of large-scale blockchain data. This will include, but is not limited to:
  • Designing, implementing, and maintaining scalable pipelines that ingest raw on-chain data (blocks, transactions, smart-contract events) from public blockchains into research-grade databases
  • Developing statistical, graph, and/or machine learning models to study transaction networks, illicit transaction patterns, and DeFi protocol operations
  • Creating and evaluating tools, documentation, and open datasets
• Collaborate with researchers in law, finance and economics on topics such as governance, regulatory compliance (e.g., MiCA Regulation, AML/CTF), sustainability, and digital identity
• Disseminate results by publishing in highly-ranked outlets in information systems and computer science
• Communicate and work with governmental stakeholders, analytics vendors, and financial institutions to gather requirements, obtain datasets, and validate results
• Manage research projects and deliverables, as well as prepare research proposals to attract public and private funding
• Mentor and supervise PhD students and student assistants working on related topics

The successful candidate will join the Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and autonomous systems led by Dr. Jose Luis Sanchez-Lopez.

The position holder will perform the following tasks:

• Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields
• Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms
• Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events
• Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders
• Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding
• Mentor and being involved in the supervision of PhD students on an everyday basis, offering guidance and support in their research, while co-authoring publications

Successful candidate will join the Clinical and Translational Informatics, led by Dr. Venkata Satagopam, which focuses on bridging translational medicine and bioinformatics through innovative data integration, visualisation, and advanced analytics. Our research integrates bioinformatics, data science, and IT solutions to advance digital health and translational medicine using a “bench-to-bedside” approach. By harmonising and analysing diverse biomedical data, while focusing on the secure data processing and predictive modelling, we aim to drive progress in translational medicine, improving diagnostics and healthcare solutions. For more information, please visit our page.

You will be the scientific liaison for a team developing secure and FAIR-compliant data platforms for storing, managing, and sharing clinical data from neurodegenerative disease cohorts. You will be responsible for:

• Technically contribute and coordinate the development and implementation of data systems and analysis platforms with the platform development team (developers, data managers, scientists)
• Supporting strategic planning and integration of new data modalities, metadata standards, and ontologies into the platform
• Acting as liaison between data providers, IT developers and data governance teams
• Ensuring scientific alignment and adherence to ethical, legal, and data protection regulations (e.g. GDPR)
• Tracking deliverables, reporting progress, and supporting technical documentation and consortium communication
• Representing the group in consortium meetings, and stakeholder interactions

The Postdoctoral researcher will be working in the Institute for Lifelong Learning and Guidance, within the Department of Education and Social Work. The person will be part of a dynamic organisational context of a growing, globally connected research university. The postdoctoral researcher will collaborate closely with Prof. Dr Claude Houssemand (https://wwwen.uni.lu/forschung/fhse/desw/people/claude_houssemand/) on topics related to cognitive differential psychology, especially cognitive strategies in visuo-spatial tasks.

The CLAIM and ICR groups are seeking an outstanding postdoc to strengthen their research teams with expertise in Large Language Models, more precisely in Agentive Reasoning and LLM orchestration.

The postdoc is expected to pursue state-of-the-art research activities and to contribute to research proposals, assist in supervision, teaching, and public dissemination activities of the CLAIM and ICR groups. There will be a possibility to collaborate with local spin-offs.

For further information, you can contact Dr. Réka Markovich ([email protected]) and Prof. Leon van der Torre ([email protected]).

As a postdoctoral researcher, you will analyze data from the Youth Survey Luxembourg (YSL). The YSL spans topics including attitudes, digitality, health, political participation, and the values of young people. In Luxembourg’s highly diverse society, there is an urgent need to understand how social background shapes life chances: your work will speak directly to that. You will also help design and collect future YSL waves and ensure findings reach the audience who can use them.

The successful candidate will join the YSL research team at the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences (DSOC). The CCY is a multidisciplinary group investigating youth development and social inequalities, with strong connections to national and international research institutes and organizations

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoctoral Researcher in Cyber-Resilient Systems

Deadline : Open Until Filled

View details & Apply

The successful candidate will join the CryptoLux team led by Prof. Alex Biryukov. He or she will contribute to a research project entitled “Advanced Cryptography for Finance and Privacy (CryptoFin)”, which is funded by the Luxembourgish Fonds National de la Recherche (FNR) through the CORE program. Candidates with research interests in one or more of the following areas are particularly encouraged to apply:

• Applied or symmetric cryptography
• Cryptofinance, cryptoeconomics, blockchains
• Anonymity and privacy on the Internet

• Conduct cutting-edge research in areas of interest to the Research Group, including but not limited to:
  • Conducting design science research by developing processes, models, methods, and systems and evaluating their effectiveness and utility
  • Investigating the application and implications of emerging technologies like blockchain, digital wallets, and distributed ledger technologies (DLT), in private and public services.
  • Integrating AI and ML techniques into information systems to enhance decision-making processes
  • Investigating and designing AI explainability within information systems, considering the perspectives of individuals, organizations, and society to ensure comprehensive, responsible, and trustworthy technology development.
  • Researching and developing multi-robotic process automation solutions within information systems, focusing on coordination, communication, task allocation among robots, etc.
  • Evaluating information systems constructed using emerging digital technologies from a quantitative (performance, costs, …) and qualitative (maturity, task fitness, efficiency, etc.) perspective
• Disseminate results through scientific publications, aiming for the best-ranked outlets
• Communicate and work with stakeholders in government (ministries, regulators, government-run start-up incubators) and companies
• Prepare research proposals to attract industry partnerships as well as national and European grant projects
• Manage research projects and prepare project deliverables
• Mentor and supervise PhD students, providing guidance and support in their research endeavors

Successful candidates will join the young, vibrant, and interdisciplinary FINATRAX Research Group, which builds bridges between business research and information systems engineering. The group’s work is organised around four emerging technologies (Digital Identities, Artificial Intelligence, Blockchain (DLT), and the Internet-of-Things) and three focus industries (Financial Services, Public Sector, and Energy). The group consists of doctoral and post-doctoral researchers from diverse backgrounds, including business, technology, law and psychology. They are united in pursuit of sustainable technologies that have a positive impact on society. For further details, please visit our website: https://www.uni.lu/snt-en/research-groups/finatrax/

The candidate will support project partnerships with industry and publicly funded research projects in designing, implementing, and evaluating the use of privacy and verifiability-enhancing technologies, such as blockchain, decentralized digital identity (digital certificates and digital wallets), federated learning, multi-party computation, secure hardware, or succinct and zero-knowledge proofs

The candidate will be funded through an industry partnership with Luxembourg’s Ministry for Digitalisation, as well as other industry partnerships or public research projects. This is a unique opportunity to contribute to cutting-edge research, exploring the design, implementation and instantiation of Luxembourg’s digital identity wallet and the European digital identity wallets (EUDIW) and their implications on privacy and security, as well as other technical, organizational, and regulatory aspects. The candidate would perform, among others, the following tasks

• Carry out research in the field of digital identity wallets, such as
  • Critical evaluations of security and privacy implications of technical design choices for digital identity wallets (e.g., the involvement of QWACs), specifically in the context of the eIDAS 2.0 regulation and the current status of the architecture reference framework (ARF)
  • Investigating emerging standards (e.g., W3C Verifiable Credentials (VC), OpenID4VCI/ OpenID4VP), current solutions (eIDs, biometric passports, X.509 certificates, SD-JWTs) and deployments (e.g., the availability of secure hardware and cryptographic co-processors in (mainly) mobile phones)
  • Developing and implementing privacy enhancements for new or existing standards based on cryptographic constructions such as zero-knowledge proofs (ZKPs)
• Provide guidance to PhD students
• Disseminate results through scientific publications
• Prepare research proposals to attract industry partnerships as well as national and European grant projects 
• Manage research projects and prepare project deliverables 
• Provide guidance to Master students and PhD students who submit work to conferences or journals

Work on project-relevant subjects from the last and current Release of the 3GPP core network standards, implement the features in free5GC and/or OpenAirInterface/srsRAN software for computer simulations, and conduct theoretical research to submit proposals to the ongoing study or work items, with a view towards patenting and possible inclusion into the future Releases

• Perform research on future communications networks topics including, but not limited to:
  • Non-Terrestrial Networks (NTNs)
  • Multicast and Broadcast Services (MBSs)
  • Uncrewed Aerial Vehicle (UAV), UA System (UAS) and Urban Air Mobility (UAM)
  • Experimental emulators, prototypes, testbeds and distributed research infrastructure test platforms
• Set up real-world testing both in the laboratory using emulators and software defined radios (SDRs), and in the field using drones or satellites, to validate research or project outcomes
• Disseminating results through foremost scientific publications and conferences in their fields
• Contribute to the development of research proposals for attracting funding through industrial, national, and European projects on the topic
• Publish research findings in the prestigious peer-reviewed journals and present at relevant conferences
• Contribute to different research projects, either coordinating technical contribution and/or preparing project deliverables
• Support in the supervision of PhD students
• Participate into the development of the 6GSpaceLab infrastructure and the federated labs at SnT

• Conduct research in risk analysis and statistical modelling of complex actuarial data
• Plan quality research, project managing the scientific activity and supervising the research team in cooperation with the Professor
• Conduct, on own initiative, research and/or develop own research projects in the above mentioned area
• Identify, apply for and manage research funding as well as allocate project resources
• Research dissemination at international conferences and to the actuarial industry
• Teaching activity of up to 90 hours per year in the new Master of Actuarial Science, hereby developing new courses for the Master
• Contribute to student assessment activities, including writing and reviewing assignments and questions for course components
• Supervise master students carrying out practical work
• May participate in dissertation supervisory committees
• Active participation in and support of the organization of the activities of the research group Team MIDAS and of DMATH

In 2023, the University launched four bachelor programmes in specialized nursing sciences in the fields of surgery, anaesthesia/resuscitation, paediatrics, and mental health. A fifth programme ‘Bachelor of Nursing in General Care’ started in September 2024, while two more bachelor programmes – Midwifery and radiographer/clinical imaging – are set to commence in September 2025. These programmes are organized by combining theoretical training as well as simulations using the latest technology with practical training in hospitals, outpatient clinics and care centres, in collaboration with various institutions in the country and abroad.

The Research Scientist in Nursing Science will be attached to the University on a full-time basis. S/he will have to report to the Directors of the Programs and contribute directly to the development and the excellence of the new Bachelors’ of Science in Nursing. The academic part will be divided between teaching (180 TU/year) and research:

A new Bachelor in ATM radiology will be launched in September 2025. In this context, we are seeking a dedicated Research Scientist in ATM Radiology to join our multidisciplinary team. This position offers a unique opportunity to contribute to cutting-edge research in medical imaging while actively engaging in teaching and mentoring students and trainees. The ideal candidate will possess a strong background in radiology, medical imaging technologies, and research methodologies, with a passion for advancing scientific knowledge and training the next generation of professionals.

The SnT is seeking a Postdoc to support the research and development work within the SEDAN group (https://www.uni.lu/snt-en/research-groups/sedan). We seek a candidate with expertise and/or interest in the following relevant fields: machine learning and cybersecurity.

While robust infrastructures now exist for running cybersecurity exercises, the creation and management of training scenarios remain highly manual, time-consuming processes. These tasks involve designing scenarios, generating associated content, executing and monitoring exercises, providing guidance, and incorporating feedback for continuous improvement.

The project will thus focusing on increasing capabilities of existing cyber-ranges  in terms of types of scenarios and experience but without exploding the operational costs. Hence, a large part of the project is dedicated to better integrate automation into multiple facets of cyber-range operation, including the federation of infrastructures to deploy complex scenarios in multiple platforms, the creation of complex scenarios themselves through federation but also thanks artificial intelligence to create or guide the creation of new contents, to ensure a more realistic and challenging execution of scenarios by integrating automated agents perturbing or helping trainees during their exercises. All together, this will enable a large diversity in exercises but will also improve the end-user experience of the trainee which is essential to ensure continuous education and learning.

In this project SnT will lead activities to define and develop AI models to be used when creating scenario contents that includes the aggregation of multiple scenarios (partial or complete) in multiple cyber-ranges assisted by AI to identify gaps (missing steps) in a full complex scenarios based on existing standards such as MITRE ATT&CK or the cyber kill-chain. As an underlying objective, the defining of common description language will be necessary to share cyber-range capacities and scenarios. Furthermore, the postdoc will also research on creating automated content based on contextualized information about a particular environment or threats a person must be trained. Hence, information about a profile of an IT infrastructure will be integrated to create a relevant scenario and exercise environment. Finally, the postdoc will also lead research on the topic of automated moderation of exercise by developing AI models capable to monitor and interpret the trainee progress and to provide assistance when needed with the objective to optimize the acquired knowledge and skills but the trainee motivation.