SimulaMet

PhD Position in Multimodal Learning

SimulaMet(4 days ago)

HybridFull TimeTrainee$51,779 - $0Data Science and Knowledge Discovery (DataSci)
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About this role

PhD position in Multimodal Learning at SimulaMet’s Data Science and Knowledge Discovery Department (DataSci) in Oslo. The role is a doctoral research appointment focused on advancing multimodal learning methods—particularly at the intersection of multimodal, self-supervised and contrastive learning and tensor-based approaches—to enable interpretable analysis of complex multimodal and longitudinal data. The position is embedded in an interdisciplinary, international research environment with academic and clinical collaborations.

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Required Skills

  • Linear Algebra
  • Numerical Optimization
  • Data Science
  • Machine Learning
  • MATLAB
  • Python
  • Tensor Decompositions
  • Low Rank
  • Self Supervised
  • Contrastive Learning

+1 more

Qualifications

  • BS in Computer Science, Data Science, Signal Processing or Applied Mathematics
  • MS in Computer Science, Data Science, Signal Processing or Applied Mathematics
SimulaMet

About SimulaMet

simulamet.no

Simula Metropolitan Center for Digital Engineering (SimulaMet) is a Norwegian research centre focused on high‑quality research in communications systems, machine learning/data science, and IT management. It brings together researchers from Simula Research Laboratory and OsloMet to advance digital engineering via fundamental and applied research, education, and industry collaboration. SimulaMet develops methods, tools and prototypes to tackle challenges in networks, AI/data science and IT governance, and supports technology transfer and evidence‑based decision making.

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