Smart Maintenance Intern: Anomaly Detection & ML Insights

Damen; Gorinchem; On-site; EUR 6,700 - 10,000; Full time

Benefits offered by this job

Mentoring

Travel allowance

Research publication

Job summary

Damen RD&I invites you to join the Data Science team in Gorinchem as an intern on the Smart Maintenance project. You will help develop an anomaly detection pipeline, processing sensor data from vessels to identify abnormal behavior before failures occur.

You will choose a focused research topic with the team, potentially pursuing a thesis, and receive mentoring at academic level. The program offers a travel allowance, potential publication opportunities, and exposure to multidisciplinary

Qualifications

• Currently pursuing a Bachelor or Master in a technical field such as Data Science, Applied Mathematics, Computer Science, or Mechanical/Electrical Engineering.
• Experience with statistics, Python, and ideally time-series ML approaches.

Responsibilities

• Support the anomaly detection project for vessel equipment.
• Preprocess and analyze sensor/time-series data from onboard systems.
• Run experiments in Python and evaluate model performance.

Skills

Statistics

Python

Time-series analysis

Machine Learning

Education

Bachelor or Master in Data Science / Applied Mathematics / Computer Science / Mechanical or Electrical Engineering

Tools

LSTMs

Job description

Damen RD&I invites you to join the Data Science team in Gorinchem as an intern on the Smart Maintenance project. You will help develop an anomaly detection pipeline, processing sensor data from vessels to identify abnormal behavior before failures occur.

You will choose a focused research topic with the team, potentially pursuing a thesis, and receive mentoring at academic level. The program offers a travel allowance, potential publication opportunities, and exposure to multidisciplinary