Publisher
source

University of Luxembourg

Doctoral Researcher in Data Quality & Sensor Reliability University of Luxembourg in Luxembourg

Degree Level

PhD

Field of study

Signal Processing

Funding

Full funding available
Country flag

Country

Luxembourg

University

University of Luxembourg

Social connections

How do I apply for this?

Sign in for free to reveal details, requirements, and source links.

Apply for this position

Continue to application

Keywords

Signal Processing
Electrical Engineering
Statistical Analysis
Industrial Engineering
Energy Efficiency
Anomaly Detection
Data Quality
Mechatronics
Machine learning

About this position

The University of Luxembourg invites applications for a Doctoral Researcher position in Data Quality & Sensor Reliability. This opportunity is based within the Advanced Engineering and Smart Sensor Solutions (AE3S) research group and forms part of the Interreg GreenFab project, a European cross-border initiative supporting sustainable and energy-efficient manufacturing in the Greater Region. The university is renowned for its international, multilingual, and interdisciplinary character, offering a vibrant research environment and strong links to professional sectors.

The PhD project focuses on developing methods to ensure reliable, selective, and high-quality data in smart sensor systems used for industrial monitoring and sustainable manufacturing. Research topics include sensor data validation, anomaly detection, uncertainty estimation, and the detection and compensation of sensor drift and degradation. The candidate will design and evaluate robust data pipelines, develop computational tools for sensor data validation, and collaborate with both academic and industrial partners within the GreenFab consortium.

Applicants should have a Master’s degree in Electrical Engineering, Industrial Engineering, Mechatronics, Data Science, or a closely related field. Essential skills include a strong background in signal processing, measurement systems, or data analysis, as well as programming proficiency in Python, MATLAB, or similar environments. Experience with sensor data processing, machine learning, anomaly detection, uncertainty analysis, sensor calibration, and experimental measurements is highly valued. Candidates must demonstrate at least B2-level proficiency in the language of their thesis, with accepted certificates as specified by the university.

The position offers a fixed-term contract of 36 months, full-time (40 hours per week), with a yearly gross salary of EUR 41,976. The University of Luxembourg provides a modern campus, exceptional research facilities, and a supportive, inclusive atmosphere. Staff come from over 90 countries, and the university is a member of The Guild of European Research Intensive Universities. The institution promotes equality and encourages applications from individuals of all backgrounds.

To apply, candidates should submit their application online via the University of Luxembourg HR system, including a CV, cover letter detailing motivation and fit for the topic, and transcripts of all university-level courses. Early applications are encouraged, as review begins upon receipt. Applications by email will not be considered.

This PhD position is ideal for candidates interested in advancing the reliability of industrial monitoring systems, smart sensors, and sustainable manufacturing through innovative research in data quality and sensor reliability.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

Ask ApplyKite AI

Start chatting
Can you summarize this position?
What qualifications are required for this position?
How should I prepare my application?