45 Postdoctoral Fellowship at University of Luxembourg, Luxembourg

Postdoctoral researcher in RiGA project: Rigidity of Group Actions in conformal differential geometry and smooth dynamics (PI Karin Melnick).

The candidate will be expected to work independenty and in collaboration on a research program related to the project, while having some interaction with different research groups. The candidate should contribute to the life of the department, including teaching, seminars, working groups, and other research-related activities.

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/

We are seeking a post-doctoral researcher to join the YES – Young People in Esch-sur-Alzette project, which explores the experiences of youth aged 12 to 29 in and with the city of Esch-sur-Alzette from a social sciences perspective. This role primarily involves using qualitative methods to study young people’s interests, challenges and use of local social action measures, ultimately contributing to the development of a new municipal youth plan. The researcher will work closely with local authorities and the University of Luxembourg to generate scientific insights that will inform public policy.

The successful candidate will be affiliated with the Centre for Childhood and Youth Research (CCY) within the Department of Social Sciences. The CCY is a multidisciplinary research team that examines the conditions and opportunity structures of growing up against the backdrop of social change and inequalities. It maintains strong links to other institutes and relevant organizations within and beyond the department, both nationally and internationally.

The selected candidate shall develop a machine learning-based approach that integrates different types of OMICs data for interrogating biological pathways and genes linking aging and Alzheimer’s disease (AD). Furthermore, combining this approach with a protein network-based model the candidate shall identify drug targets and predictive markers for AD. The project will be conducted in close collaboration with Prof. Michael Heneka at the LCSB, who will also conduct the experimental validation of the computational predictions.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on a project focused on advancing AI-driven solutions for cybersecurity and cyber defense, with a particular emphasis on addressing and mitigating supply chain attacks. The research aims to develop innovative methods and actionable tools for detecting, analyzing, and preventing vulnerabilities in supply chain systems, leveraging state-of-the-art AI and ML techniques to improve overall security and resilience.

TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé,within a project that leverages satellite remote sensing data to estimate carbon credits in the Sahel region. This interdisciplinary project combines advanced AI techniques with satellite image analysis to develop scalable and reliable methodologies for assessing environmental sustainability.

TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on a project focused on advancing Natural Language Processing (NLP) methodologies for automatically analyzing and processing documents written in natural language for the fintech ecosystem. The project aims to design, develop and apply state-of-the-art ML and Explainable AI techniques to create scalable and reliable NLP systems. Experience in FinTech is considered a valuable asset.

TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé. The successful candidate will work on projects focused on advancing program analysis techniques for mobile apps, with an emphasis on static analysis. The research is twofold: 1) boost dynamic analysis by leveraging insights from static analysis; and 2) improve the effectiveness and output of static analysis tools using AI-driven methods and advanced static analysis techniques. The role includes contributing to cutting-edge research in the mobile ecosystem, actionable tool development, and the supervision of PhD students.

We offer a dynamic postdoctoral research position who will join the TruX Research Group headed by Prof. Dr. Tegawendé F. Bissyandé within a research project focused on leveraging program analysis to design and advance methods and tools in software security and cyber defense in the African ecosystem. This project integrates advanced program analysis techniques with software security to develop scalable and reliable methodologies to enhance cybersecurity and cyber defense.

TruX conducts research in software security, software repair, and explainable software to create key practical solutions for developers, allowing them to achieve trustworthiness, efficiency, and transparency. Application areas include FinTech, embedded systems (e.g., mobile), business or entertainment systems, cybersecurity, and more.

The successful candidate will join the Serval research group and work on a large research project related to Machine Learning Security and Testing. The project involves the study of technical methods and approaches for testing the reliability (in particular, the security) of machine learning systems (including generative AI and large language models) against various threats that may occur in the real-world. Successful candidates will extensively explore and develop software security and testing techniques for machine learning systems. These investigations include the feasibility, practicality and success evaluation of prototype implementations. We expect the candidate to publish in competitive machine learning and security venues, such as Neurips, ICML, ICLR, Security & Privacy, USENIX Security, CCS, etc. More generally, the project is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of machine learning systems by providing industry actors with practical evaluation tools, such as technical testing platforms for AI.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Research Associate (Postdoc) in Software Testing and Program Analysis

Deadline : Open Until Filled

View details & Apply

 

The successful candidate is expected to work on designing optimal network slicing strategies and develop SDN/NFV solutions for the non-terrestrial network automation. The design strategies will optimize the service function chain, flow management and virtual network embedding for 6G NTN. The ideal candidate should have knowledge and experience in some of the following topics:

• Strong background in Computer Networking technologies (ideally in SDN/NFV)
• Network and/or resource slicing, virtual network embedding
• Optimization and Machine learning/deep learning techniques
• Experience in open-source platforms and controllers (e.g., ONOS, Ryu, MiniNet, OpenSAND)
• Graph signal processing for wireless networks
• Development skills in MATLAB, python or C++ are required.
• Contribute to the national project FNR SDNSaT: Intelligent SDN Management and Routing in NGSO Satellites for Critical Services
• Carry out research in the defined areas
• Disseminate results through scientific publications in the top-tier venues
• Coordinating research projects and preparing project deliverables
• Preparing new research proposals to attract industrial, national and European projects
• Providing assistance in the supervision of PhD students

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

The main responsibility of the successful candidate would be to:

• Conduct, publish and present research results at conferences
• Provide guidance to the two Ph.D. students of the project
• Attract funding in cooperation with academic and industrial partners

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

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, under the supervision of Dr. Maxime Cordy. You will contribute to research work in the area of Software Verification. Such research concerns the development of theories, techniques and tools to ensure that software systems behave according to their expected requirements. More specifically, the verification topics that may be explored include (but are not limited to):

• statistical model checking
• improving verification with deep learning
• completeness and consistency of formal specifications
• verification for variability-intensive software systems
• verification for cyber-physical systems
• verification for AI systems

The University of Luxembourg (UL) is seeking to hire a set of postdoctoral fellows within the Department of Computer Science of the Faculty of Science, Technology and Medicine linked to HPC Platform of the University of Luxembourg led by Dr. Julien Schleich.

The activities include classical HPC applications such as simulation and modeling, but also artificial intelligence and machine learning, bridging computational science, with data science, and data management (IoT/Edge/HPC).

This is a fully funded position with an original duration of 2 years with a possibility to extend up to 5 years upon the performance and funding availability. The successful candidate is expected to theoretical and experimental research on meta-MAC layer development for underwater optical communication systems.   

The successful candidates are expected to perform the following tasks:

• Work on project-relevant subjects from the last and current Release of the 3GPP radio access and/or core network standards, implement the features in MATLAB and/or OpenAirInterface 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
• Eventually, help in the supervision of PhD students

The University of Luxembourg is seeking to hire a highly motivated and an outstanding researcher in the area of Joint Communications and Sensing (JCAS) for 6G Non-Terrestrial Networks (NTNs) for its Interdisciplinary Centre of Security and Trust (SnT), within the Signal Processing and Communications (SigCom) research group, led by Prof. Symeon Chatzinotas.

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 program, H2020 program and the European Space Agency (ESA).

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.

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, including business, technology, law, and psychology. They are united in pursuit of sustainable technologies that positively impact society. 

The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary and together we contribute to science and society.

Successful candidates will join the Neuroinflammation group, led by Prof. Michael Heneka, which aims at understanding molecular mechanisms of inflammatory regulation in a variety of neurodegenerative diseases, using novel preclinical mouse models and state-of-the-art techniques like two-photon imaging, transcriptome analysis and induced pluripotent stem cells (iPSCs), to develop new biomarkers and medical intervention programs.

We offer an attractive Research Associate position in Computer Vision for vision-based anomaly detection.The successful candidate will join the Computer Vision, machine Intelligence and Imaging (CVI²) research group (http://cvi2.uni.lu) headed by Prof. Djamila Aouada to conduct exciting research with high impact in collaboration with multiple stakeholders. He/she will help in shaping research directions within a European project involving multiple interdisciplinary partners. He/she will perform the following tasks:

• Shaping research directions and producing results. Topics include but are not limited to:
  • Anomaly detection and pattern recognition in visual data
  • Multimodal fusion
  • Thermal imaging
  • Unsupervised and self-supervised learning
  • Data simulation and synthesis
• Disseminating results through scientific publications
• Collaborating with multiple project stakeholders from a large European consortium
• Carry out high-impact research within an interdisciplinary context
• Coordinating research projects and delivering outputs
• Participating in writing proposals
• Participating to the teaching activities
• Implementing real-time solutions
• Providing guidance to PhD and MSc students
• Organizing relevant workshops and demonstrations

Depending on the ambition and abilities, in addition to being involved in the group’s research on data protection and socio-technical security design and analysis, the candidate can have the opportunity to develop their research project and to engage in interdisciplinary scientific work with the community of researchers of the University.

We seek candidates keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines, particularly robotics, soft matter physics, image processing, and information extraction. The position is linked to the Interdisciplinary Research Group in Sociotechnical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/) within the Interdisciplinary Centre for Security, Reliability, and Trust (SnT) at the University of Luxembourg.

We look for candidates keen to work in an interdisciplinary environment and open to collaborating with researchers from other disciplines, particularly usability, human factors, and quantitative security analysis. The research is linked to a project called PSYBER, founded by the Minister of Foreign Affairs. The position is linked to the Interdisciplinary Research Group in Socio-technical Cybersecurity (IRiSC-https://irisc-lab.uni.lu/) within the Interdisciplinary Centre for Security, Reliability and Trust (SnT) of the University of Luxembourg.

The position is initially funded for one year (with a probation period of six months) and may be extended up to five years following positive evaluation and commitment.

The research is linked to the project PSYBER – Assessing Cybersecurity Preparedness, funded by the Luxembourg Minister of Foreign and European Affairs. The project will be executed closely with Prof. Marcus Völp – Robustness and Resilience in Computing, with Prof. Pedro Cardoso Leite – Faculty of Social Science / Cognitive Science and Assessment), the Luxembourg House of Cybersecurity, the national cybersecurity agency. The three groups have established an exciting interdisciplinary environment.

We conduct fundamental and translational research in the field of Systems Biology and Biomedicine – in the lab, in the clinic and in silico. We focus on neurodegenerative processes and are especially interested in Alzheimer’s and Parkinson’s disease and their contributing factors. The LCSB recruits talented scientists from various disciplines: computer scientists, mathematicians, biologists, chemists, engineers, physicists and clinicians from more than 50 countries currently work at the LCSB. We excel because we are truly interdisciplinary, and together we contribute to science and society.

The LCSB is recruiting a PI to build their own junior research group. The PI will be recruited as a research scientist and will report directly to the LCSB Director. We are looking to set up a computational group focusing on advanced image analysis using AI and machine learning. Possible scientific focus can be on clinical or biomedical (e.g. high-content microscopy) images or combining and integrating imaging data with other biomedical data types. The group should collaborate with experimental, computational and translational groups at LCSB and internationally and apply these methods to neurodegenerative or neurological diseases.

The current opening for a Postdoctoral Researcher is based on a structural position which can be funded for up to five years by the Faculty of Science, Technology and Medicine (FSTM). We expect the successful candidate to contribute to our ongoing research and teaching activities at the intersection of Big Data, Databases and Machine Learning. A particular focus is put on recent advances in the areas of Generative Artificial Intelligence (GenAI) and Large Language Models (LLMs).

The position offers a high degree of freedom in developing also own research interests and further specialization within the above areas. The successful candidate will join the Big Data Research Group and will also actively be involved in the supervision of PhD students who are currently working in collaboration with the Luxembourg Centre for Systems Biomedicine (LCSB) and the Luxembourg Centre for Contemporary and Digital History (C2DH).

Successful candidates will join the young, vibrant, and interdisciplinary CryptoLUX research group, led by Prof. Alex Biryukov. The position holder will closely collaborate with Dr. Aleksei Udovenko who leads the project “PQSeal: Cryptanalysis of post-quantum signatures”, and will be required to perform the following tasks:

• Publish high-impact research in the area of post-quantum cryptography
• Collaborate on the project tasks, internally and/or with external peers
• Independently lead execution of some project’s tasks

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

The successful candidate will join a strong and motivated research team led by Prof. Symeon Chatzinotas to work as a Research Associate, performing the following tasks:

• Research the evaluation of advanced photonics technologies for satellite payloads in frequencies at RF, millimeter-wave, and THz
• Develop and optimize mode-locked lasers, for integrated circuits and wireless communication
• Collaborate with a multidisciplinary team to design and test photonic-based microwave signal generators
• Publish high-quality research papers in peer-reviewed journals and present findings at international conferences

Are you passionate about cutting-edge research in Computer Vision and Artificial Intelligence? Our research group CVI2 – Computer Vision, Imaging and Machine Intelligence, headed by Prof. Djamila Aouada, is seeking a talented researcher to take on a leading role within an innovative and inclusive group.

In this role, you will conduct groundbreaking research in computer vision and AI for exciting applications including space, security, and industry 4.0. Moreover, you will have the opportunity to work closely with Prof. Djamila Aouada and the team members of the CVI2 Research Group on multiple cutting-edge research directions.
 Our work spans a diverse range of exciting topics, including 3D shape modeling, human-centric computer vision, and anomaly detection, with regular publications in top-tier venues. You will have the chance to work on high-impact projects in partnership with leading industrial players such as Artec3D, Infinite Orbits and LMO, as well as engage in national and international academic and industrial collaborations.

The successful candidate is expected to assume a leading role in defining, acquiring, managing, and scientifically contributing to projects in quantum communications and quantum networks. The candidate will play a key role in the development of quantum communication protocols and the design of quantum network architectures, and other relevant areas, supporting PhD candidates in their thesis research. The candidate will work closely with Professor Symeon CHATZINOTAS and the team members of the Signal Processing and Communications (SigCom) Research Group. English is the working language of this international laboratory, which is engaged in several European and international projects, conducting cutting-edge research in close collaboration with academic and industry partners.

We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. 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.

We seek a highly motivated bioinformatician or computational biologist who is well versed in the statistical and machine learning analysis of biomedical data and bioscientific programming for a project on the study of neurological disorders. The candidate should have experience in the analysis of large-scale biomedical data (e.g., omics or clinical data), using statistical methods, pathway/network analysis or machine learning. The candidate will conduct integrative analyses of biomedical datasets, with a focus on omics data. This will include implementing and applying software analysis pipelines and interpreting disease-related data together with experimental and clinical collaborators. Bioinformatics analyses guided by prior mechanistic knowledge will be conducted, exploiting the known grouping structures among features in the omics data, using dedicated approaches for structured data analysis. 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.