Research Associate

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 position holder will perform the following tasks:

- Conduct cutting-edge research in perception and situational understanding, advancing the state-of-the-art in SLAM, situational awareness, computer vision, machine learning, robotics, and related fields
- Developing and implementing innovative solutions, validated through real datasets and experiments on our robotic platforms
- Disseminating research findings through publications in leading peer-reviewed journals (e.g., IEEE RA-L, Elsevier RAS) and top conferences (e.g., ICRA, IROS), and engaging in outreach events
- Take a leading role in research projects, prepare project deliverables and collaborate with stakeholders
- Being involved in the preparation of research proposals to secure industry partnerships and attract national and European grant funding
- Mentor and being involved in the supervision of PhD students on an everyday basis, offering guidance and support in their research, while co-authoring publications

**Your profile**:
We’re looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you’ve come to the right place

Experience and technical skills:

- Research background in at least one of the following topics: simultaneous localization and mapping (SLAM), situational awareness, robotics, computer vision, machine learning, and/or related area
- Proven record of publications in leading (1st quartile) conferences and journals in the field of robotics
- Solid mathematical foundation paired with practical robotics experience
- Strong programming skills in (at least one of) Python/C++
- Familiarity with robotics frameworks like ROS; optimization-based frameworks such as GTSAM, G2O, or similar; computer vision frameworks like OpenCV; and/or deep learning frameworks such as PyTorch and TensorFlow
- Prior experience with industry or publicly funded research projects is highly desirable

Soft and transferable skills:

- Strong commitment, motivation, and ambition to produce high-impact research for top-tier journals and conferences
- Self-initiative, creativity, curiosity, flexibility, and enthusiasm for research
- Collaborative team player with a strong drive to lead projects and teams toward impactful results
- Analytical mindset for designing, implementing, and refining high-quality solutions to address complex challenges

Language skills:

- Fluent written and verbal communication skills in English are required

**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:_
- Full Curriculum Vitae, including:

- Contact address
- List of academic qualifications and awards. For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, start date, and date (or expected date) of graduation. Include the title and short summary of your PhD Thesis and supervisor name (and Bachelor / Master Thesis if you did one). If you have not yet received your PhD but will do soon, please include a tentative graduation date
- List of publications, with a link in case of open access
- Description of previous research and work experience in the fields of simultaneous localization and mapping (SLAM), robotics, computer vision, machine learning, and/or related
- Programming and technical skills, including GitHub profile (if existing)
- List of two referees (including contact details) and (if available) their support letters
- General information:_
- Contract Type: Fixed Term Contract 24 Month
- Work Hours: Full Time 40.0 Hours per Week
- Locat