Research Associate in Computer Science (University of Luxemburg)

Contract Type: Fixed Term Contract Duration: 24 Month About the SnT 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. Your role 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. 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 AI, NLP, and document analysis Design, develop and implement algorithms for processing and analyzing natural language documents using ML and explainable AI techniques Contribute to national and international research collaborations in NLP, Fintech, 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 NLP/Fintech Assist in drafting research proposals to secure funding For further information, please get in touch with Dr. Jordan Samhi (email address: jordan.samhi@uni.lu). Your profile We seek a motivated, independent researcher with strong skills in NLP and a passion for interdisciplinary work. The candidate should possess a Ph.D. degree in Computer Science, artificial intelligence, natural language processing, or related fields Expertise in machine learning, explainable AI, and advanced natural language processing techniques. Knowledge of text processing, document analysis, and model interpretability is a plus Familiarity with FinTech applications or experience in applying AI techniques to real-world problems is desirable Proficiency in a major programming language (Python, Java or R is a plus) Experience in research supervision Strong communication skills in written and spoken English A proven publication record in relevant international conferences and journals Teamworking skills and the ability to collaborate in a multidisciplinary research environment We offer Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR) A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs … How to apply Applications should include: Curriculum Vitae Cover letter indicating the research area of interest and your motivation A research statement Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students. General information: Contract Type: Fixed Term Contract 24 Month Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Postdoctoral researcher Job Reference: UOL06978 The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time). If you apply for this position please say you saw it on Academicoxy

Contract Type:

Fixed Term Contract

Duration:

24 Month

About the SnT

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.

Your role

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. 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 AI, NLP, and document analysis
Design, develop and implement algorithms for processing and analyzing natural language documents using ML and explainable AI techniques
Contribute to national and international research collaborations in NLP, Fintech, 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 NLP/Fintech
Assist in drafting research proposals to secure funding

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

Your profile

We seek a motivated, independent researcher with strong skills in NLP and a passion for interdisciplinary work.

The candidate should possess a Ph.D. degree in Computer Science, artificial intelligence, natural language processing, or related fields
Expertise in machine learning, explainable AI, and advanced natural language processing techniques.
Knowledge of text processing, document analysis, and model interpretability is a plus
Familiarity with FinTech applications or experience in applying AI techniques to real-world problems is desirable
Proficiency in a major programming language (Python, Java or R is a plus)
Experience in research supervision
Strong communication skills in written and spoken English
A proven publication record in relevant international conferences and journals
Teamworking skills and the ability to collaborate in a multidisciplinary research environment

We offer

Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs …

How to apply

Applications should include:

Curriculum Vitae
Cover letter indicating the research area of interest and your motivation
A research statement

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.

General information: