Doctoral Researcher in Multimodal Machine Learning

About the SnT

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

We are offering an exciting PhD position in Multimodal Machine Learning for Battery Management Systems (BMS). The selected candidate will join the Computer Vision, Machine Intelligence, and Imaging (CVI²) research group, led by Prof. Djamila Aouada, within the Interdisciplinary Centre for Security, Reliability, and Trust (SnT) at the University of Luxembourg. The PhD candidate will contribute to cutting-edge research in predefined topics aligned with the group's ongoing activities. Their work will encompass the full research pipeline, including state-of-the-art literature review, development of novel methodologies, real-time implementation, and experimental validation. This position offers a unique opportunity to work in an interdisciplinary context at the forefront of machine learning and energy systems in collaboration with renown European partners with a strong expertise in battery modeling.

Your Responsibilities:

• Carrying out research in the topic of Multimodal Machine Learning for Battery Management Systems (BMS)
• Leveraging data modeling strategies based on battery cell and semiconductor-like material properties
• Proposing and implementing real-time solutions
• Setting-up and running experiments
• Disseminating results through scientific publications and/or patents
• Participating in organizing relevant workshops and demonstrations

Your profile

• A master's degree in Electrical Engineering, Physics, Applied Mathematics or a related field.
• Prior experience in data modelling and analysis of battery cells or related energy storage systems
• Advanced knowledge of engineering materials and in particular semiconductor-like materials
• Strong background in Applied Mathematics
• A specific interest for renewable energy
• Background in image/signal processing
• Programming skills in Python
• Familiarity with data analysis, machine learning, and deep learning concepts
• Commitment, team working and a critical mind
• Fluent written and verbal communication skills in English are 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" (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:

• Curriculum Vitae
• Cover letter
• Publication list
• Transcript of all modules and results from university-level courses taken
• Research statement and topics of particular interest for the candidate (300 words)

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 36 Months, extendable up to 48 months if required
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL07237

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