The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.
The Interdisciplinary Centre for Security, Reliability and Trust (Sn T) 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.
The University of Luxembourg is seeking a highly motivated and skilled Research support technician focused on software development to join the Brain Sat project. This project aims to revolutionize satellite communications by leveraging brain-inspired neuromorphic computing techniques. The successful candidate will be responsible for developing and optimizing software solutions, including spiking neural network (SNN) models, for on-board satellite communication systems.

Your role

• Develop and implement SNN-based algorithms for satellite communication applications
• Conduct literature reviews and stay updated with the latest advancements in neuromorphic computing and satellite communications
• Develop system models and simulations using MATLAB, python, and other relevant tools
• Generate training data and develop AI/ML models for benchmarking against neuromorphic solutions
• Collaborate with the hardware R specialist to ensure seamless integration of software and hardware solutions
• Participate in testing campaigns and analyze the results to improve system performance

Your profile

• Bachelor’s degree in Computer Science, Electrical Engineering, Telecommunications Engineering or a related field
• Proven experience in software development, particularly in AI/ML
• Proficiency in programming languages such as Python, MATLAB, and experience with software frameworks like Py Torch and Tensor Flow
• Excellent problem-solving skills and ability to work independently and in a team environment
• Strong written and verbal communication skills in English
• Experience with satellite communication systems is highly desirable but not mandatory
• Experience with spiking neural networks (SNNs) is highly desirable but not mandatory

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” (Uni GR)
• 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 written in English should include:

• Curriculum Vitae, including
  • Contact address
  • For each degree received or currently enrolled in, provide the degree, institution name, institution city and country, and start date and date (or expected date) of graduation Include the title and short summary of your and Bachelor Thesis if you did one
  • In case of previous publications: List of publications (authors, title, journal/conference name and date of publication). Provide a link in case of open access
  • Name, affiliation and contact details of three referees
• Cover letter with motivations and topics of particular interest to the candidate (approx. 1 page)

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.
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: Research support technician
• Job Reference: UOL06700

For further information, please contact: Dr. Flor Ortiz (flor.ortiz@uni.lu)