Machine Learning Researcher

6 days ago


Örebro, Örebro, Sweden Karlstad University Full time
Job Description

We are seeking a highly motivated and talented researcher to join our Adaptive and Interpretable Learning Systems research group as a doctoral student in machine learning. The successful candidate will be part of a dynamic team of researchers and contribute to the development of novel machine learning techniques.

The research topic for this position is one of the following areas:

  • Reinforcement Learning: Focusing on task priorities, composability of tasks and policies, constraints, and transfer.
  • Counterfactual Prediction: Using large-scale observational data and deep learning models to estimate treatment effects.
  • End-to-End Learning: Identifying underlying cost models and differentiating through black-box optimizers.
  • Deep Generative Modeling: Predicting toxicity of compounds and representation learning for transfer between in-vivo and in-silico models.
  • Spatio-Temporal Modeling: Using probabilistic models to analyze sensor and robotic data.

The doctoral student will be supervised by J. A. Stork (principal supervisor) and have the opportunity to work with state-of-the-art technology and collaborate with industry partners.

The program consists of courses and an independent research project that you will present in a doctoral thesis, concluding with a doctoral degree and consisting of 240 credits.



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