Doctoral Position In Machine Learning For Anomalies/Failures Detection, Identification And Prediction On Lunar Robots.

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 candidates will join a strong and motivated research team led by Prof. Miguel Olivares-Mendez (Space Robotics (SpaceR) research group) in collaboration with Robotic System Lab (RSL) from ETHZ led by Prof. Marco Hutter to carry out research to pursue a PhD on the following topic:

Machine Learning for anomalies/failures detection, identification and prediction on mobile and legged robots in lunar environments.

About the project:

The candidate will be working on the project “NeverGiveUp: Fallback adaptable heterogeneous multi-robots for efficient and collaborative lunar prospection.” A project starting on the 1st of June in collaboration with the RSL-ETHZ research team. NeverGiveUp aims to develop a robust and highly autonomous approach to heterogeneous multi-robot exploration, which would enable them to overcome difficulties and failures while accomplishing collaborative lunar prospection missions. This framework includes approaches to identify and predict potential failures, react before the damage occurs, and define, share, and execute tasks while considering the local terrain and robot states. We plan to use both wheeled robots and advanced walking (legged) robots equipped with cutting-edge locomotion control techniques and autonomous modes to navigate obstacles and challenging terrain adeptly. These robotic systems will be equipped with a variety of skills, which enables them to conduct sample analysis swiftly in target regions. Verification and Validation of these developments will be done in the LunaLab, a lunar analogue facility at the University of Luxembourg.

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

• Carrying out research in the predefined areas
• Disseminating results through scientific publications
• Contribute to the development of experiments on real and analogue environments
• Collaborate with other team members on joint publications and experiments

For further information, please contact us at miguel.olivaresmendez@uni.lu

Your profile

The candidate should possess an MSc and bachelor’s degree in computer science, Artificial Intelligence or Robotics Engineering with a GPA of 3.2+. We expect a candidate who is passionate about Machine learning and robotics and who is looking forward to further developing his or her skills in robotics in challenging terrestrial and space environments.

Experience: The ideal candidate must have experience on:

• Knowledge of programming languages (preferably Python and/or C++) and ROS 1
• Strong understanding of Machine Learning techniques
• Prior research or industrial experience with sensors
• Excellent written and spoken communication skills in English

In addition, the candidate should have experience in some of the following topics:

• Knowledge of ROS 2
• Prior research or industrial experience with robots
• Experience with sensor-fusion
• Deep knowledge of Reinforcement Learning

Language Skills: Fluent written and verbal communication skills in English are required.

We offer

The University offers a Ph.D. study program with an Initial contract of 36 months, with a possible one-year extension if necessary. It offers highly competitive salaries and is an equal-opportunity employer. You will work in an exciting international environment and have the opportunity to participate in the development of a newly created university.

How to apply

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
• Short motivation letter

Early application is highly encouraged, as the applications will be processed upon reception. To ensure full consideration, candidates should apply by 1st of April ONLINE formally through the HR system. Applications by Email will not be considered.

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: The initial contract is 36 months, with a further possible 1-year extension if required
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL07137

The yearly gross salary for every PhD at the UL is EUR 40952 (full time).