Research and Development Specialist in Artificial Intelligence and Software Engineering (University of Luxemburg)

Research and Development Specialist in Artificial Intelligence and Software Engineering Contract Type: Fixed Term Contract Duration: 18 Month About the SnT The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character. The Interdisciplinary Centre for Security, Reliability and Trust (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 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 Your profile 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. The position holder will be required to perform the following tasks: Act as the main contributor to a software development project related to agentic AI, with the aim to develop it into a real product Design and build demonstrators to showcase academic and industrial research outcomes. Prototype with emerging technologies, frameworks, and methods related to AI and software engineering Contribute to team knowledge-sharing efforts and promote best practices in software development 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 Master's degree in Computer Science, Software Engineering, or a related field. Bachelor's degree can be considered if the candidate has extensive experience and/or outstanding skills Proven experience as a full-stack developer with more focus on backend and deployment Strong knowledge of Python development practices and tools/frameworks; other programming languages are an asset Ability to lead and take ownership of software development projects Ideally, experience contributing to or managing open-source software projects Strong communication skills and an appetite for engaging with stakeholders and building community around developed tools 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 Language Skills: Fluent written and verbal communication skills in English are required. French is a plus. How to apply Applications should include: Full CV, including list of publications Transcript of all modules and results from university-level courses taken Research statement and topics of particular interest to the candidate (300 words) Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered. The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved. The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff. General information: Contract Type: Fixed Term Contract 18 Month Work Hours: Full Time 40.0 Hours per Week Location: Kirchberg Campus Internal Title: Research and development specialist Job Reference: UOL08344 If you apply for this position please say you saw it on Computeroxy

Research and Development Specialist in Artificial Intelligence and Software Engineering

Contract Type:

Fixed Term Contract

Duration:

18 Month

About the SnT

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Interdisciplinary Centre for Security, Reliability and Trust (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 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

Your profile

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. The position holder will be required to perform the following tasks:

Act as the main contributor to a software development project related to agentic AI, with the aim to develop it into a real product
Design and build demonstrators to showcase academic and industrial research outcomes.
Prototype with emerging technologies, frameworks, and methods related to AI and software engineering
Contribute to team knowledge-sharing efforts and promote best practices in software development

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

Master's degree in Computer Science, Software Engineering, or a related field. Bachelor's degree can be considered if the candidate has extensive experience and/or outstanding skills
Proven experience as a full-stack developer with more focus on backend and deployment
Strong knowledge of Python development practices and tools/frameworks; other programming languages are an asset
Ability to lead and take ownership of software development projects
Ideally, experience contributing to or managing open-source software projects
Strong communication skills and an appetite for engaging with stakeholders and building community around developed tools
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

Language Skills:

Fluent written and verbal communication skills in English are required. French is a plus.

How to apply

Applications should include:

Full CV, including list of publications
Transcript of all modules and results from university-level courses taken
Research statement and topics of particular interest to the candidate (300 words)

Early application is highly encouraged, as the applications will be processed upon reception. Please apply ONLINE formally through the HR system. Applications by Email will not be considered.

The University of Luxembourg is committed to achieving gender parity among its staff. Should candidates present equivalent profiles, preference will be given to female candidates in all departments where gender parity is not yet achieved.

The University of Luxembourg embraces inclusion and diversity as key values. We are fully committed to removing any discriminatory barrier related to gender, and not only, in recruitment and career progression of our staff.

General information: