The Interdisciplinary Centre for Security, Reliability and Trust (SnT) at the University of Luxembourg invites applications from highly motivated PhD candidates in the general area of control engineering for autonomous constellation and formation control of microsatellites within its Automation & Robotics Research Group (ARG). SnT is carrying out interdisciplinary research in secure, reliable and trustworthy ICT systems and services, often in collaboration with industrial, governmental or international partners. For further information you may check: www.securityandtrust.lu.
The SnT Automation & Robotics Research Group is a strong and motivated research team led by Prof. Holger Voos. The group focuses on perception and control for autonomous vehicles and robots, including unmanned aerial vehicles, service robots in Industrie 4.0, automated and autonomous cars or satellites and spacecraft. Herein, solutions are investigated that combine optimization-based approaches with methods from artificial intelligence or machine learning, please see also: http://wwwen.uni.lu/snt/research/automation_robotics_research_group
PhD Position in Autonomous Constellation and Formation Control of Microsatellites
This is a fully funded position for 3 years (extendable to an additional 4th year) within a national research project in collaboration with LuxSpace Sàrl (https://www.luxspace.lu/), a member of the network of OHB companies. Therefore, the objectives of the PhD project are defined in accordance with the project goals and also aligned with the research interest of LuxSpace towards their next-generation of microsatellites. More precisely, the PhD project aims at the development of novel sensing and control approaches to enable a higher degree of autonomy for microsatellites in constellations and for the distributed control of autonomous formation flight of microsatellites. Together with LuxSpace, the research results will be implemented in a development tool and tested using suitable multisatellite test scenarios. The successful candidate will work under the supervision of Prof. Holger Voos and will be required to perform the following tasks:
Contribute to the national project “AuFoSat – Development Tool for Autonomous Constellation and Formation Control of Microsatellites” in close collaboration with the partner LuxSpace. Further information about the project is available at: http://wwwen.uni.lu/snt/research/automation_robotics_research_group
Carry out research in the predefined areas
Disseminate results through scientific publications
Present results in renowned international conferences and workshops
For further information, please contact Prof. Holger Voos (firstname.lastname@example.org).
Qualification: The candidate should possess an MSc degree or equivalent in Electrical, Control, Aerospace, Space, or Robotics Engineering, Computer Science, Applied Mathematics or in another related discipline.
Experience:The ideal candidate should have knowledge and experience in some of the following topics:
- Model Predictive and Distributed Control
- Modelling and Simulation of Dynamic Systems, preferably space systems and satellites
- Observer Design and Estimation
- Development skills in MATLAB/Simulink and C / C++. Additional experience with STK (Systems Tool Kit) would be an asset
- Knowledge in optimization and machine learning is a plus
Language Skills: Fluent written and verbal communication skills in English are required.
The University offers a Ph.D. study program with an initial contract of 36 months, with a further possible 1-year extension if required. The University offers highly competitive salaries and is an equal opportunity employer. You will work in an exciting international environment and will have the opportunity to participate in the development of a newly created university. Since the project will be in close collaboration with LuxSpace, you will also gain insight into the space industry.
Applications should include:
- Full CV, including list of publications and name (and email address, etc) of three referees
- Transcript of all modules and results from university-level courses taken (in English)
- Research statement and topics of particular interest to the candidate (300 words).
All qualified individuals are encouraged to apply.