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Master´s thesis in the field of computer vision and machine learning

ROSENvor 22 TagenAktualisiert vor 3 StundenWerkstudent
Vor OrtEnglisch erforderlichTechKI, ML & Data Science

Erforderliche Skills

PyTorchSelf-supervised LearningComputer VisionMachine LearningAnomaly DetectionNon-Destructive TestingPythonTensorFlowDeep Learning

Stellenbeschreibung

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Beschreibung bereitgestellt von ROSEN

Location: Lingen

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What you can expect

To strengthen our team in the Science Disciplines department in Lingen, we are looking for a dedicated and reliable student (m/f/d) (Master’s) to work on a:

Master thesis: AI for Anomaly Detection in Non-Destructive Testing (NDT)

We are looking for a highly motivated Master’s student to join our R&D department in the non-destructive testing (NDT) industry. The position is based in an innovative, research-oriented environment that facilitates direct interaction with experts from a wide range of disciplines and provides the ideal conditions for a high-level master's thesis.

The thesis focuses on developing state-of-the-art AI-based solutions for detecting anomalies in industrial inspection data.

Your role:

  • Develop innovative AI-based solutions for anomaly detection in NDT applications
  • Conduct research on state-of-the-art methods in self-supervised learning and computer vision
  • Implement and optimize models using Python and popular ML/DL frameworks (e.g., PyTorch, TensorFlow)
  • Evaluate and compare different approaches using both quantitative and qualitative metrics
  • Collaborate with R&D experts to align solutions with real-world industrial requirements

What you will bring

To become part of the ROSEN family, show us that you can work well in a team, have an analytical mind, and work independently. Please also bring the following:

  • A degree program (not yet completed) in field Computer Science, Data Science, Artificial Intelligence or a related field
  • Strong background in machine learning, deep learning, or computer vision
  • Hands-on experience with Python and relevant libraries/frameworks
  • Interest in applying AI to industrial inspection and quality assurance
  • Analytical, structured working style and ability to work independently
  • Good written and spoken English skills

What we offer

We offer insights into the work of an international, innovative, and forward-thinking corporate group. In an open corporate culture with quick decision-making processes, you can successfully bring your ideas to life.

  • Opportunity to contribute to cutting-edge R&D in the NDT industry
  • Work on real-world industrial datasets with high practical relevance
  • Flexible working conditions, however the position is intended to be based at the company's location (Lingen or Osnabrück)
  • Close supervision and mentoring by experienced researchers and engineers
  • A dynamic, innovation-driven working environment

Who we are The ROSEN Group is a leading global provider of cutting-edge solutions in all areas of the integrity process chain. Since its beginnings as a one-man business in 1981, ROSEN has grown rapidly and is today a technology group that operates in more than 110 countries with over 4,000 highly qualified employees.

ROSEN’s products and services:

  • Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness
  • Customized engineering consultancy providing efficient asset integrity management
  • Production and supply of customized novel products and systems
  • Market-driven, topical state-of-the-art research and development providing “added-value” products and services

For more information about the ROSEN Group, go to www.rosen-group.com.

Do you have any questions?

Hanna Riecken

Recruitment

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