Computing Science Researcher
5 days ago
Job Description:
The position of doctoral student in computer science at Örebro University involves researching and developing advanced machine learning techniques. The successful candidate will be part of the Adaptive and Interpretable Learning Systems research group, focusing on one of the following areas: reinforcement learning, counterfactual prediction, end-to-end learning, or deep generative modeling.
About the Project:
- Reinforcement Learning: Focus on task priorities, composability of tasks and policies, constraints, and transfer.
- Counterfactual Prediction: Machine learning for treatment effect estimation with large-scale observational data and deep learning models, focusing on countering selection bias and causal learning.
- End-to-End Learning: 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: Bio-medical data, 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.
Responsibilities:
- Conduct original research and develop innovative solutions in machine learning.
- Collaborate with the research group to advance knowledge and understanding in the field.
- Publish research findings in reputable academic journals and conferences.
Requirements:
- A master's degree in computer science or a related field.
- Excellent programming skills and experience with deep learning frameworks.
- Strong background in machine learning, computer science, and mathematics.
- Fluent spoken and written English.
Benefits:
- A competitive salary and benefits package.
- An opportunity to work with a renowned research group and contribute to cutting-edge projects.
- The chance to collaborate with international experts and researchers.
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