Research Associate in Artificial Intelligence and Software Engineering
at Universit du Luxembourg
Luxembourg, Canton Luxembourg, Luxembourg -
Start Date | Expiry Date | Salary | Posted On | Experience | Skills | Telecommute | Sponsor Visa |
---|---|---|---|---|---|---|---|
Immediate | 16 May, 2024 | Not Specified | 20 Feb, 2024 | N/A | Data Science,Machine Learning,Artificial Intelligence,Natural Language Processing,Python,Data Collection,Java,Data Engineering,Storage | No | No |
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Description:
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.
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!
Responsibilities:
As the successful candidate, you will primarily contribute to a partnership project with BGL – BNP Paribas, one of the major banks in Luxembourg. The title of the project is “AI for AI” and it concerns the design of an AI ‘metamodel’ tool that will monitor and improve AI algorithms effectiveness and robustness, allowing their application to business-critical use cases at scale. The objective of this project is to develop automated means to continuously monitor the performance of AI models (including NLP models) developed by BGL BNP Paribas and to determine when and how to retrain these models in order to improve their performance. Achieving these objectives requires addressing crucial research challenges such as the definition of proper quality metrics across the bank’s use cases, the identification and explaination of the limitations and blanks spots of the models, and the design of sustainable improvement mechanisms. Overall, the project supports BGL BNP Paribas in scaling-up their AI and data science activities through ground-breaking research, thereby enabling the widespread dissemination of AI products and services throughout the bank. The project is held in close collaboration with BGL-BNP Paribas and, as the successful candidate, you will be expected to program prototype tools showcasing the practical benefits of your research outcomes.
The supervision team you will be working with is:
- Maxime Cordy: research scientist at SeRVal
- Jacques Klein: chief scientist at TruX
- Tegawendé Bissyandé: chief scientist at TruX
You will be required to perform the following tasks:
- Carrying out research in the predefined areas
- Survey the scientific literature in the relevant research domains
- Disseminating results through scientific publications
- Communicate with stakeholders to collect requirements and report results
- Implement proof-of-concept software tools
- Contribute to the supervision of younger researchers (PhD students)
- Contribute to the acquisition of competitive research fundings
REQUIREMENT SUMMARY
Min:N/AMax:5.0 year(s)
Information Technology/IT
IT Software - Other
Software Engineering
Graduate
Proficient
1
Luxembourg, Luxembourg