Research Associate (Postdoc) position in AI for time series analysis in the

at  Universit du Luxembourg

Luxembourg, Canton Luxembourg, Luxembourg -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate23 Apr, 2025Not Specified24 Jan, 2025N/APython,Communication Skills,Computer Science,Artificial Intelligence,Programming Languages,Journals,Matlab,English,International Conferences,Data Science,Analytics,R,Structured Data,NlpNoNo
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Description:

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.

Responsibilities:

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 and analytics methodologies to process, analyze, and extract insights from time series data. The project aims to develop and implement scalable and reliable tools to address challenges in time series analysis, with potential applications in Industry 4.0. A background in Industry 4.0 or related fields 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. For more information, you may refer to https://www.uni.lu/snt-en/research-groups/trux/.

The successful candidate will:

  • Conduct cutting-edge research in time series analysis, machine learning, and sequential data processing
  • Develop and implement algorithms for analyzing time-dependent data, focusing on scalability, reliability, and interpretability
  • Contribute to national and international research collaborations in AI, analytics, and time series analysis and related fields
  • Prepare project deliverables and disseminate results through high-quality scientific publications.
  • Present findings at renowned international conferences and workshops
  • Guide and mentor PhD, MSc, and BSc students working on related topics
  • Support the organization of demonstrations and workshops relevant to time series analysis tools and techniques
  • Assist in drafting research proposals to secure funding for related projects

For further information, please get in touch with Dr. Jordan Samhi (email address: jordan.samhi@uni.lu).


REQUIREMENT SUMMARY

Min:N/AMax:5.0 year(s)

Information Technology/IT

IT Software - Other

Software Testing

BSc

Proficient

1

Luxembourg, Luxembourg