Doctoral Researcher in Data Quality & Sensor Reliability

About us

The University of Luxembourg is an international research university with a distinctly multilingual and interdisciplinary character.

The Faculty of Science, Technology and Medicine (FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine.
Through its dual mission of teaching and research, the FSTM seeks to generate and disseminate knowledge and train new generations of responsible citizens in order to better understand, explain and advance society and environment we live in.

Your role

• Conduct research on data quality and long-term reliability in smart sensor systems for industrial monitoring
• Develop methods, models, and computational tools for sensor data validation, anomaly detection, and uncertainty assessment
• Design and evaluate robust data pipelines for industrial monitoring systems
• Participate in project meetings, workshops, and collaboration activities within the GreenFab consortium
• Collaborate with industrial and academic partners in the Greater Region

The PhD candidate will join the Advanced Engineering and Smart Sensor Solutions (AE3S) research group and collaborate with academic and industrial partners involved in the GreenFab project. This PhD position is part of the Interreg GreenFab project, a European cross-border initiative supporting the transition toward sustainable and energy-efficient manufacturing in the Greater Region.

Modern industrial production systems rely on networks of sensors to monitor processes, energy consumption, material flows, and environmental conditions. However, the effectiveness of these monitoring systems strongly depends on the quality and long-term reliability of sensor data. In industrial environments, measurements are often affected by drift, environmental disturbances, aging effects, and calibration issues, which may compromise monitoring and optimization strategies.

The objective of this PhD project is to develop methods to ensure reliable, selective and high-quality data in smart sensor systems used for industrial monitoring and sustainable manufacturing.

The research will focus on sensor data validation, anomaly detection, uncertainty estimation, and the detection and compensation of sensor drift and degradation. The candidate will develop data processing and modelling approaches combining signal processing, statistical analysis, and data-driven methods to improve the reliability of monitoring systems used for energy efficiency and resource optimization.

Your profile

• Master's degree in Electrical Engineering, Industrial Engineering, Mechatronics, Data Science, or a closely related field
• Strong background in signal processing, measurement systems, or data analysis
• Programming skills in Python, MATLAB, or similar scientific computing environments
• Interest in industrial monitoring systems, smart sensors, and sustainable manufacturing
• Experience with sensor data processing or instrumentation systems
• Knowledge of machine learning or anomaly detection techniques
• Familiarity with uncertainty analysis or sensor calibration methods
• Experience with experimental measurements or industrial monitoring systems

Language Requirements:

Applicants must demonstrate at least B2-level proficiency in the language of their thesis. For details and accepted certificates, please visit the Application for admission - Doctoral Candidates.

We offer

• A modern, dynamic university with a personal and inclusive atmosphere. Multilingual and international character. Staff coming from more than 90 countries. Member of The Guild of European Research Intensive Universities
• An exceptional research environment, supported by skilled staff and high-quality equipment. Strong links to professional sectors and the Luxembourg labour market. A unique urban campus with excellent infrastructure
• A partner for society and industry. Cooperation with European institutions, innovative companies, the Financial Centre and a wide range of non-academic partners including ministries, local governments, associations, and NGOs

How to apply

Applications should include:

• Curriculum Vitae
• Cover letter presenting your motivation for this doctoral thesis topic, and explaining how your qualifications and aspirations align with its academic focus
• Transcript of all modules and results from university-level courses taken

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 Month
• Work Hours: Full Time 40.0 Hours per Week
• Location: Kirchberg Campus
• Internal Title: Doctoral Researcher
• Job Reference: UOL08102

The yearly gross salary for every Doctoral researcher at the UL is EUR 41976 (full time).