University of Luxembourg

Research Associate in Testing Machine Learning Models and Self-Learning Systems (M/F)

University of luxembourg

Luxembourg, Luxembourg

The Interdisciplinary Centre for Security, Reliability and Trust (SnT) invites applications from PhD holders in the general area of Software Engineering and Machine Learning. SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners.

The Centre is currently expanding its research activities and is seeking highly motivated research associates who wish to pursue research in close cooperation with our team and our partners. For further information, you may check: www.securityandtrust.lu and https://wwwen.uni.lu/snt/research/serval

Your Role:

As the successful candidate, you will join the Security, Reasoning and Validation (SeRVal) group of the SnT, headed by Prof. Yves Le Traon. You will contribute more specifically to the STELLAR project, funded by Luxembourg National Research Fund. The topic of the project is “Testing Machine Learning Models and Self-Learning Systems” and concerns the definition and the measurement of test adequacy criteria in such systems, the selection and generation of test inputs, as well as the design of mechanisms to identify issues and help securing the use of machine learning models/systems.
The STELLAR project includes two ongoing PhD theses. In addition to carry out your own research autonomously, you will provide support to the two PhD students and share the research directions of the project. More generally, you will join a team of 15 persons (including 10 PhD students) and are expected to contribute to the group’s research activities and to the training of the students. You will also participate to scientific dissemination activities (publication in top journals/conferences, presentation at scientific events, organizing workshops …) and to drafting research proposals and project deliverables.

The supervision team you will be working with is:
• Prof. Yves Le Traon: head of SerVal, principal investigator
• Dr. Mike Papadakis: research scientist, co-investigator
• Dr. Maxime Cordy: research scientist, co-investigator

Your Profile:

• A PhD degree in Computer Science or a related field.
• Competitive publication records and knowledge/experience in software engineering and/or machine learning.
• Strong programming and analytical skills (mainly python; Java is a plus).
• Past experience in PhD supervision will be considered as an advantage.
• Past experience working in/with the IT industry will be considered as an advantage.
• Commitment, team spirit, critical mind and motivation are more than welcome.
• Optional: knowledge of metaheuristics, statistics, and program analysis.

Language Skills: Fluent written and verbal communication skills in English are mandatory.

We Offer:

The University offers a two-year employment contract which may be extended up to five years. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in various research and academic activities.

Application:

Applications, written in English should be submitted online and should include:

• Curriculum Vitae (including your contact address, work experience, publications)
• Cover letter indicating your research interests and your motivation
• A research statement (max 1 page)
• Contact information for 3 referees

All qualified individuals are encouraged to apply.
Deadline for applications: February 28, 2020. Early submission is encouraged, applications will be processed upon arrival.

For further information, please contact us at maxime.cordy@uni.lu, michail.papadakis@uni.lu, yves.letraon@uni.lu

Please apply via recruiter’s website.

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