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Data Scientist in Machine Learning

1 week ago

Örebro, Örebro, Sweden Karlstad University Full time

The School of Science and Technology at Örebro University is seeking a doctoral student in machine learning for the doctoral program in computer science, concluding with a PhD in Computer Science.

Research Focus

The Adaptive and Interpretable Learning Systems research group invites applications from candidates interested in one of the following areas:

  • Reinforcement Learning: Task priorities, composability of tasks and policies, constraints, and transfer.
  • Machine Learning for Counterfactual Prediction: Countering selection bias, causal learning, identification of causal and irrelevant factors, and disentanglement of underlying variables.
  • End-to-End Learning for Inverse Optimization: Identifying underlying cost models, learning from noisy observations, non-stationary and multi-modal data, differentiating through black-box optimizers, and representing uncertainty.
  • Deep Generative Modeling: Identification of unknown chemicals/environmental pollutants from mass spectrograph data, predicting toxicity of compounds, in-silico models for replacing animal studies, and representation learning for transfer between in-vivo and in-silico models.
  • Spatio-Temporal Modeling: Gaussian Process Implicit Surface models, tomography data, sparse models, and model constraints.

Candidates must indicate their topic preferences in the application.