卢森堡大学PhD position in Machine Learning Security & Testing申请条件要求-申请方
主办方
卢森堡大学
PhD直招介绍
About us
The University of Luxembourg( https://www.uni.lu/en/ ) is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust( https://www.uni.lu/snt-en/ ) (SnT) at the University of Luxembourg is a leading international research and innovation centre in secure, reliable and trustworthy ICT systems and services.
We play an instrumental role in Europe by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent. We look for researchers from diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and ICT Services & Applications.
Your role
The position holder will be required to perform the following tasks/will do research on the following topics:
Software engineering practices for machine learning
Define quality and security principles for machine learning systems
Design and implement technical testing algorithms to assess these systems in real-world conditions
The candidate will contribute to both fundamental research and the development of practical software platforms and demonstrators in collaboration with industrial and public-sector partners. More generally, the PhD thesis is part of a large initiative at Serval and SnT, which aims to support the reliable deployment of AI systems by providing industry actors with practical evaluation tools, such as technical testing platforms for AI.
The successful candidate will join the SERVAL research group and contribute to research and development activities at the intersection of Agentic AI, AI Security, Trustworthy AI, Software Engineering, and Cybersecurity. The group is developing novel methods, tools, and platforms to support the safe deployment of AI systems in real-world environments. Current research activities focus on topics such as:
AI agents and computer-use agents
Security, robustness, and trustworthiness of AI systems
Evaluation, benchmarking, and testing of AI systems
Runtime monitoring and governance of AI agents
Formal specification and verification techniques for AI-enabled systems
AI systems for enterprise and cybersecurity applications
AI compliance, risk assessment, and trustworthy AI engineering
General information:
Contract Type: Fixed Term Contract 36 Month
Work Hours: Full Time 40.0 Hours per Week
Location: Kirchberg Campus
Internal Title: Doctoral Researcher
Job Reference: UOL08325
The yearly gross salary for every Doctoral researcher at the UL is EUR 43445 (full time).
卢森堡大学 PhD position in Machine Learning Security & Testing项目有没有奖学金，是不是全奖Phd招生，下面我们一起看一下【大学名称】Phd的奖学金资助情况
项目资助情况
We offer
A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs
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申请要求
Your profile
Master in Computer Science. Major in machine learning, software engineering or software security
Strong programming skills
Strong analytical skills
Industry experience in information and communication technology will be considered as an advantage
Commitment, team working, a critical mind, and motivation are skills that are more than welcome
Knowledge of both the basics and the latest developments of machine learning, in particular large language models and agentic framewoks will be considered a strong asset
Operational Language Requirements: Fluent written and verbal communication skills in English are required
Academic Eligibility (Thesis):
Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates( https://www.uni.lu/en/admissions/doctoral-candidates/ ).
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