Thesis work in Data Fusion for Bathymetric Mapping

Technology, Data & Digital · Data, AI & Analytics · Data Science · Machine Learning · Data Engineering

In short

Are you an MSc student in Geomatics, Computer Science, or a related field looking to apply your knowledge to the energy transition? Vattenfall offers a thesis project in data fusion, combining satellite, drone, and sonar data to create high-resolution bathymetric maps and 3D reconstructions. This temporary, on-site role in Solna/Älvkarleby, Sweden, is ideal for students with strong Python programming skills and experience in machine learning.

Responsibilities

  • Develop a data fusion approach combining satellite imagery, drone imagery/photogrammetry, and ROV sonar measurements.
  • Produce accurate, high-resolution bathymetric maps for a shallow water area.
  • Investigate machine learning/deep learning methods for aligning, calibrating, and merging data sources.
  • Combine fused bathymetry with above-water elevation and terrain data for a full 3D reconstruction.
  • Estimate water volume of the area.
  • Conduct literature review on relevant surveying methods and data fusion techniques.
  • Acquire and pre-process multi-source data.
  • Develop and apply a data fusion model.
  • Perform elevation and terrain analysis.
  • Evaluate and validate the fused bathymetry model performance against ground-truth measurements.
  • Carry out field campaigns to collect validation data.

Requirements

  • Enrolled in an MSc programme in Geomatics, Remote Sensing, Computer Science, Applied Physics, Environmental or Civil Engineering, or a related field.
  • Strong written and verbal communication skills in English.
  • Strong programming skills in Python.
  • Experience with data analysis and relevant tools such as NumPy, PyTorch, TensorFlow, GDAL, Rasterio, or GIS software.
  • Knowledge of, or a strong interest in, remote sensing, image processing, machine learning, and deep learning.
  • Basic understanding of GIS principles and geospatial data formats, including raster data, point clouds, and coordinate systems.
  • Ability to work independently, structure and document work systematically, and communicate results effectively.

Desired Qualifications

  • Swedish language skills are considered an advantage.
  • Interest in applying satellite-based data to environmental analysis and biodiversity-related challenges.
  • Experience working with satellite imagery, drone data, or sonar/acoustic survey data is considered an advantage.

Benefits

  • Opportunity to complete a thesis project close to the business.
  • Work alongside experienced specialists.
  • Tackle challenges where your ideas and perspectives can make a real difference.
  • Gain practical experience in data fusion and the energy transition.

Skills

PythonNumPyPyTorchTensorFlowGDALRasterioGISMachine LearningDeep LearningRemote SensingImage Processing
#energy transition#data fusion#bathymetric maps#satellite imagery#drone imagery#ROV sonar#machine learning#deep learning#3D reconstruction#water volume estimation
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About Vattenfall

Vattenfall is a European energy company with approximately 20,000 employees. For more than 100 years we have electrified industries, supplied energy to people's homes and modernised our way of living through innovation and cooperation. We are working for fossil freedom.

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Company

Vattenfall

Job Posted

4 days ago

Employment Type

Temporary

Work mode

On Site

Experience Level

Student

Locations

Solna, Sweden

Älvkarleby, Sweden

Qualification

Master

Applicants

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