Intern: Smart Maintenance Anomaly Detection for Ships

823 Damen Research Development & Innovation B.V.; Gorinchem; On-site; EUR 6,700 - 11,000; Full time

Benefits offered by this job

Academic mentoring

Travel allowance

Tuition support

Research publication potential

Maritime exposure

Job summary

Damen Research Development & Innovation B.V. in Gorinchem hosts an internship on the Smart Maintenance project, focusing on anomaly detection in vessel systems. You will join a Data Science team applying AI to maritime operations and select a topic to strengthen the pipeline from data choice to reliable detection.

The role suits students pursuing a Bachelor or Master in data/engineering fields, with ML/time-series interest. English fluency is required, and the internship may include a thesis.

Qualifications

• Pursuing a Bachelor or Master in a technical field (data science, math, CS, engineering).
• Experience with statistics, Python, and ML/time-series is valued.
• Interest in predictive maintenance or industrial/marine systems.

Responsibilities

• Assist in ML-based anomaly detection for vessel equipment.
• Contribute to a research topic within the pipeline (data selection to detection).
• Preprocess and analyze sensor/time-series data from onboard systems.
• Run Python experiments and evaluate model performance.

Skills

Data Science

Python

Machine Learning

Time-series

Education

Bachelor or Master in Data Science/Math/CS/Engineering

Job description

Damen Research Development & Innovation B.V. in Gorinchem hosts an internship on the Smart Maintenance project, focusing on anomaly detection in vessel systems. You will join a Data Science team applying AI to maritime operations and select a topic to strengthen the pipeline from data choice to reliable detection.

The role suits students pursuing a Bachelor or Master in data/engineering fields, with ML/time-series interest. English fluency is required, and the internship may include a thesis.