Sd-25131 Research Scientist in Trustworthy Generative Ai Applications for Education
il y a 2 semaines
Description
**24 months contract | Belval**:
**Are you passionate about research? So are we Come and join us**:
The Luxembourg Institute of Science and Technology (LIST) is a Research and Technology Organization (RTO) active in the fields of materials, environment and IT. By transforming scientific knowledge into technologies, smart data and tools, LIST empowers citizens in their choices, public authorities in their decisions and businesses in their strategies.
**How will you contribute?**
You will be contributing to the research and development of software tools and techniques to provide assurances on the use of Generative AI in the development of educational activities. This research is part of an ongoing R&D collaboration with an industrial partner, Open Assessment Technologies (OAT) S.A., that provides advanced assessment solutions for education, with users in 194 countries, in more than 30 languages, leading to millions of tests worldwide.
Our key objective is to design and implement automated techniques to provide assurances on the quality of the LLM-generated assessment items. To do it so, we plan to combine effective prompt engineering strategies with scalable testing techniques such as metamorphic testing to identify and resolve quality issues in the generated items. The project plans to explore different dimensions that may affect the trustworthiness of Generative AI such as the communication language (e.g. English, Spanish, etc), the multi-modal nature of the learning sources (e.g. text, figures, audios, etc), among others.
You will be in charge of:
- Designing tools and prompts to generate quality assessment items
- Implementing effective testing techniques to provide assurances on the quality of the generated items
- Empirically evaluating the usability, scalability and benefits of such techniques on all major LLMs
- Collaborating in the integration of the developed techniques into the OAT’s platform
- Participating to research papers and materials to promote our group’s research and role in the project
**Education**
PhD in Computer Science or similar areas
**Experience and skills in**
- Software Engineering and Software Testing
- Knowledge in Machine Learning and Generative AI (e.g. experience in the use of LLMs, models fine-tuning, etc)
- Knowledge on the use of AI in Education is a plus
- Conducting and publishing research on some of these topics
**Language skills**
- Excellent English level (both written and spoken)
**Your LIST benefits**
- An organization with a passion for impact and strong RDI partnerships in Luxembourg and Europe that works on responsible and independent research projects
- Sustainable by design, empowering our belief that we play an essential role in paving the way to a green society
- Innovative infrastructures and exceptional labs occupying more than 5,000 square metres, including innovations in all that we do
- An environment encouraging curiosity, innovation and entrepreneurship in all areas
- Personalized learning programme to foster our staff’s soft and technical skills
- Multicultural and international work environment with more than 50 nationalities represented in our workforce
- Diverse and inclusive work environment empowering our people to fulfil their personal and professional ambitions
- Gender-friendly environment with multiple actions to attract, develop and retain women in science
- 32 days’ paid annual leave, 11 public holidays, 13-month salary, statutory health insurance
- Flexible working hours, home working policy and access to lunch vouchers
- A motivation letter oriented towards the position and detailing your experience
- A scientific CV with contact details
- List of publications (and patents, if applicable)
- Contact details of 2 references
**Application procedure and conditions**
We kindly request applicants to provide their nationality for statistical purposes only, as part of our commitment to promoting diversity and ensuring equal opportunities in our workforce. This information will be kept confidential and will not be used for any discriminatory purposes.
LIST is dedicated to maintaining an inclusive work environment and is an equal opportunity employer. We are committed to attracting, hiring, and retaining a diverse workforce. All applicants will be considered for employment without discrimination based on national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age, or disability.
Languages English Education Doctorate Experience 0+ years
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