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Position: PhD Position in Natural Language Processing
Institution: University of Luxembourg
Location: Luxembourg City, Luxembourg
Duties: The successful candidates will join a strong and motivated research team led by Prof. Jacques Klein and Prof. Tegawendé F. Bissyandé in order to carry out research to pursue a PhD on the following topic: Architectural Design and Pre-training of Transformer-based Language Models that account for Luxembourg Specificities; The position holder will be required to perform the following tasks: Carrying out research in the predefined areas; Disseminating results through scientific publications; Participating in proposal drafting; Collaborating with industrial partners, and in particular with the BGL BNP Paribas
Requirements: Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or Data Science. Experience: The ideal candidate should have some knowledge and experience in a number of the following topics: AI, machine learning, deep learning; Data Analytics; Natural Language Processing; Software Engineering; and be familiar with the principles of; Transformer-based models (e.g., BERT); Pre-Training; Development skills are a plus. Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable
   
Text: UOL04015 31-Dec-2099 About the SnT SnT is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. The Centre is rapidly expanding its research activities and is seeking highly motivated PhD candidates who wish to pursue research in close cooperation with our partners. For further information you may check: www.securityandtrust.lu and https://wwwen.uni.lu/snt/research/trux We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place! Your Role The successful candidates will join a strong and motivated research team led by Prof. Jacques Klein and Prof. Tegawendé F. Bissyandé in order to carry out research to pursue a PhD on the following topic: Architectural Design and Pre-training of Transformer-based Language Models that account for Luxembourg Specificities The position holder will be required to perform the following tasks: Carrying out research in the predefined areas Disseminating results through scientific publications Participating in proposal drafting Collaborating with industrial partners, and in particular with the BGL BNP Paribas Your Profile Qualification: The candidate should possess an MSc degree or equivalent in Computer Science or Data Science. Experience : The ideal candidate should have some knowledge and experience in a number of the following topics: AI, machine learning, deep learning Data Analytics Natural Language Processing Software Engineering and be familiar with the principles of Transformer-based models (e.g., BERT) Pre-Training Development skills are a plus. Language Skills: Fluent written and verbal communication skills in English are required. Knowledge of French, German or Luxembourgish is desirable. Here’s what awaits you at SnT A stimulating learning environment. Here post-docs and professors outnumber PhD students. That translates into access and close collaborations with some of the brightest ICT researchers, giving you solid guidance Exciting infrastructures and unique labs. At SnT’s two campuses, our researchers can take a walk on the moon at the LunaLab, build a nanosatellite, or help make autonomous vehicles even better The right place for IMPACT. SnT researchers engage in demand-driven projects. Through our Partnership Programme, we work on projects with more than 45 industry partners Multiple funding sources for your ideas . The University supports researchers to acquire funding from national, European and private sources Competitive salary package . The University offers a 12 month-salary package, over six weeks of paid time off, health insurance and subsidised living and eating Be part of a multicultural family . At SnT we have more than 60 nationalities. Throughout the year, we organise team-building events, networking activities and more But wait, there’s more! Complete picture of the perks we offer Discover our Partnership Programme Download the brochure: Why choose SnT for your PhD? Students can take advantage of several opportunities for growth and career development, from free language classes to career resources and extracurricular activities. In Short Contract Type: Fixed Term Contract 36 Month - extendable up to 48 months if required Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Internal Title: Doctoral Researcher Employee and student status Job Reference: UOL04015 Further Information Applications should be submitted online and include: Full CV, including list of publications and name (and email address, etc) of three referees Transcript of all modules and results from university-level courses taken Short motivation letter All qualified individuals are encouraged to apply. 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. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. About the University of Luxembourg The University of Luxembourg aspires to be one of Europe’s most highly regarded universities with a distinctly international and interdisciplinary character . It fosters the cross-fertilisation of research and teaching , is relevant to its country, is known worldwide for its research and teaching in targeted areas, and is establishing itself as an innovative model for contemporary European Higher Education. The University`s core asset is its well-connected world-class academic staff which will attract the most motivated, talented and creative students and young researchers who will learn to enjoy taking up challenges and develop into visionary thinkers able to shape society. Further information For further information, please contact us at jacques.klein@uni.lu and tegawende.bissyande@uni.lu
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