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Tegawendé F. Bissyandé

Professor Dr. at University of Luxembourg

University of Luxembourg

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Luxembourg

Has open position

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Research Interests

Computational Linguistics

10%

Artificial Intelligence

10%

Linguistics

20%

Information Technology

20%

Natural Language Processing

20%

Machine Learning

20%

Computer Science

20%

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Positions2

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University of Luxembourg

University of Luxembourg

Fully Funded PhD in Multimodal & Multilingual Language Models at University of Luxembourg

The University of Luxembourg is offering a fully funded PhD position in Multimodal & Multilingual Language Models within the TruX Research Group, led by Prof. Dr. Tegawendé F. Bissyandé. The position is based at the Interdisciplinary Centre for Security, Reliability and Trust (SnT) on the Kirchberg Campus. Supported by Google.org, this research opportunity focuses on advancing multimodal and multilingual artificial intelligence, with a special emphasis on low-resource languages such as Luxembourgish. As a doctoral researcher, you will engage in cutting-edge research in multilingual and multimodal natural language processing (NLP), develop resources for low-resource languages, and leverage images and speech to improve cross-lingual transfer. The role includes designing and evaluating multimodal methods, publishing in top international conferences and journals, collaborating with global research partners, mentoring MSc and BSc students, and participating in workshops, demos, and shared tasks. Applicants should have a Master’s degree in Computer Science, Artificial Intelligence, Computational Linguistics, Data Science, or a related field, with a strong background in machine learning and NLP. Experience or interest in multilingual and multimodal models, proficiency in Python, familiarity with deep learning frameworks, motivation to publish high-quality research, and strong teamwork and communication skills are required. The University of Luxembourg is a highly international and multilingual institution, with staff from over 90 countries and strong links to industry and European institutions. The position offers a salary of €41,976 gross per year for 36 months (full-time, fixed-term), with excellent academic–industry collaboration and modern campus infrastructure. Applications are reviewed on a rolling basis, and early application is encouraged. Apply online only; email applications will not be considered. For enquiries, contact Dr. Jordan Samhi at [email protected].

Publisher
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Tegawendé F. Bissyandé

University Name
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University of Luxembourg

Doctoral Researcher in AI-Driven Bug Intelligence

The University of Luxembourg, a leading international research university, offers a fully funded PhD position in AI-Driven Bug Intelligence within the Trustworthy Software Engineering (TruX) Research Group at the Interdisciplinary Centre for Security, Reliability and Trust (SnT). The group, led by Prof. Dr. Tegawendé F. Bissyandé, focuses on trustworthy, data-driven software engineering and AI-assisted development, with research spanning software security, software repair, and explainable software. The successful candidate will contribute to the Bug Report Intelligence for the Generative AI Era (BRIDGE) project, aiming to transform unstructured bug reports into actionable insights that connect to code, support diagnosis, and improve the speed and quality of fixes. Application areas include developer tooling, reliability, and AI-assisted software workflows, validated on real-world datasets from open-source and industry. TruX's research agenda is highly interdisciplinary, covering FinTech, embedded systems, business and entertainment systems, and cybersecurity. The candidate will conduct cutting-edge research across software engineering and natural language processing (NLP) for software, publish at top venues, and contribute to open-source artifacts. Responsibilities include designing, implementing, and evaluating prototypes that relate bug reports to code, collecting lightweight runtime evidence, and supporting developer-centered validation. Collaboration with international academics and industrial partners is encouraged to ensure impact and external validation. The candidate will also prepare project deliverables, present results at leading conferences and workshops, and mentor MSc/BSc students. Applicants must hold a Master's degree in Computer Science, Software Engineering, Artificial Intelligence, Computational Linguistics, Data Science, or a closely related field. Strong programming skills, especially in Python, and familiarity with machine learning and/or software engineering workflows are required. Experience with Git and empirical evaluation is expected, while experience with data collection, annotation, or resource creation is a plus. Motivation to publish research results in leading international conferences and journals, and the ability to work in an interdisciplinary and multicultural environment are essential. Language requirements include at least B2-level proficiency in the language of the thesis, with accepted certificates as per university guidelines. The University of Luxembourg offers a modern and dynamic environment with high-quality equipment, close ties to the business world and the Luxembourg labour market, and a unique urban site with excellent infrastructure. Staff come from over 90 countries, and the university is a member of the "University of the Greater Region" (UniGR). The institution promotes an inclusive culture and encourages applications from individuals of all backgrounds. The PhD position is a fixed-term contract for 36 months, full-time (40 hours per week), located at the Kirchberg Campus. The yearly gross salary for every PhD at the University of Luxembourg is EUR 41976. To apply, submit your application online through the University of Luxembourg HR system, including your Curriculum Vitae, cover letter detailing motivation and fit, and transcript of all university-level courses. Early application is encouraged as applications are processed upon reception. Applications by email will not be considered. For more information about the TruX Research Group, visit https://www.uni.lu/snt-en/research-groups/trux/ .