Research Associate (Postdoc) in Simultaneous Localization and Mapping (SLAM) and Situational Awareness for Robotics (UOL07522)
- University of Luxembourg
- Location: Esch‑sur‑Alzette, Luxembourg
- Job Number: 7311286 (Ref #: UOL07522)
- Posting Date: Newly posted
Job Description
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 Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and autonomous systems led by Dr. Jose Luis Sanchez-Lopez.
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
For further information, please contact Dr. Jose Luis Sanchez-Lopez ([email protected]) or Prof. Holger Voos ([email protected]).
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
• Cover letter (approx. 1 page) detailing the candidate’s motivation and relevant research experience for the position, and topics of particular interest to the candidate (please avoid using AI tools)
• Optionally, but appreciated, a 2-3 minute video introducing yourself and explaining why you're a great fit for this role. Upload the video to an external platform (e.g., YouTube, Vimeo) and share the link during the application
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.
Application link: http://emea3.mrted.ly/3w6d9
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
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: UOL07522
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).
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 Automation & Robotics Research Group (ARG), contributing to the situational awareness research line for robots and autonomous systems led by Dr. Jose Luis Sanchez-Lopez.
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
For further information, please contact Dr. Jose Luis Sanchez-Lopez ([email protected]) or Prof. Holger Voos ([email protected]).
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
• Cover letter (approx. 1 page) detailing the candidate’s motivation and relevant research experience for the position, and topics of particular interest to the candidate (please avoid using AI tools)
• Optionally, but appreciated, a 2-3 minute video introducing yourself and explaining why you're a great fit for this role. Upload the video to an external platform (e.g., YouTube, Vimeo) and share the link during the application
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.
Application link: http://emea3.mrted.ly/3w6d9
All qualified individuals are encouraged to apply. In line with our values, the University of Luxembourg promotes an inclusive culture. We encourage applications from individuals of all backgrounds and are dedicated to upholding equality and respect for our employees and students.
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: UOL07522
The yearly gross salary for every Postdoctoral Researcher at the UL is EUR 85176 (full time).
