January 9, 2024 | Posted in News
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.
Discover our IT for Innovative Services department: https://www.list.lu/en/informatics/
You will be contributing to the research and development of the software platform for the BESSER project, aimed at building better smart software faster. By smart software we mean software that combines traditional and AI-based components. In particular, you’ll be working on the development of new modelling languages and model transformation techniques to facilitate the specification of smart systems with an emphasis in the security aspects of the smart components and their interactions with the “traditional” ones.
A combination of software modelling, machine learning, and LLMs techniques will be used to model the security requirements and to ensure that the ML and LLMs used in the runtime system are tested against malware, injection attacks and other vulnerabilities according to the security requirements.
You will be in charge of:
· Extending the BESSER platform with new languages and other model-driven artefacts that facilitate the specification and generation of secure smart systems.
· Integrate vulnerability detection techniques to test and enhance smart components to be embedded in the smart system (e.g. against malware or injection attacks) to ensure that quality of the runtime smart system
· Participate in research papers and materials presenting and promoting the platform
· PhD degree in computer science or similar fields
Experience and skills
· Proven experience in conducting research at an international level with an excellent publication track record.
· Knowledge of software engineering techniques, including modeling languages such as UML
· Knowledge of Machine Learning techniques both as user and developer, including previous experience with Large Language Models.
· Expertise in security and vulnerability techniques and their integration in software development processes.
· You have gained outstanding interpersonal and communication skills and the ability to work effectively with a wide range of diverse profiles.
· You have interest and ability in the public dissemination of research results
· You have the ability to promote a cooperative work environment.
Language skills
· Excellent level of both written and spoken English and intermediate knowledge of French, German and/or Luxembourgish is a plus.
· 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.
· LIST is an equal opportunity employer and is committed to hiring and retaining diverse personnel. We value all applicants and will consider all competent candidates for employment without regard to national origin, race, colour, gender, sexual orientation, gender identity, marital status, religion, age or disability
· Applications will be reviewed on an ongoing basis until the position is filled
· An assessment committee will review the applications and select candidates based on guidelines that aim to ensure equal opportunities
· The main criteria for selection will be the correspondence of the existing skills and expertise of the applicant with the requirements mentioned above