Research Associate in Search, Optimization, Machine Learning and Technical Standardization

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**:
We are seeking an outstanding Research Associate to strengthen the research team in the area of Search, Optimization, and Machine Learning Techniques. As a Research Associate, you will:

- Conduct state-of-the-art research in search, optimization, and machine learning, focusing on addressing sustainability challenges in ICT, Construction, and Aerospace
- Oversee and mentor PhD students, ensuring alignment of their work with the programme goals
- Manage research and standardisation activities, including organizing workshops, reporting, and disseminating results through publications and conferences
- Contribute to technical standardisation efforts by participating in relevant committees to the research programme
- Write research proposals and support the group’s efforts in acquiring funding
- Represent the University of Luxembourg in international research forums, fostering collaboration and visibility
- Participate in teaching activities

The research activities will be hosted by the Parallel Computing and Optimisation Group (PCOG) at SnT, headed by Dr. Grégoire Danoy. PCOG specializes in optimization techniques, with a focus on distributed computing and AI-driven solutions PCOG conducts research in parallel computing, search and optimisation techniques, to provide efficient, scalable and robust solutions to state-of-the-art, large-scale discrete/combinatorial problems. Detailed information about the group can be found on PCOG website.

**Your profile**:

- PhD in any discipline relevant to this area of research (e.g. computer science, applied mathematics, operations research)
- Expertise in exact, approximated methods, meta-heuristics and/or machine learning
- Experience in writing successful research proposals
- Experience in managing research projects
- Knowledge of sustainability challenges and technical standardisation efforts
- Fluent written and verbal communication skills in English are required
- Commitment, creativity, and teamwork skills

**We offer**:

- Multilingual and international character. Modern institution with a personal atmosphere. Staff coming from 90 countries. Member of the “University of the Greater Region” (UniGR)
- A modern and dynamic university. High-quality equipment. Close ties to the business world and to the Luxembourg labour market. A unique urban site with excellent infrastructure
- A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and with numerous non-academic partners such as ministries, local governments, associations, NGOs

**How to apply**:

- Applications should include:_
- Detailed CV (contact address, studies with grades, work experience, publication list)
- Abstract of your PhD thesis
- List of three referees with contact information
- A motivation letter
- A description of possible research interests/ideas
- General information:_
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Location: Kirchberg Campus
- Internal Title: Postdoctoral researcher
- Job Reference: UOL07206

The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 83099 (full time).