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PhD / postdoc position in Sample-Efficient Probabilistic Machine Learning (3 years, fully funded) - OPEN!
The Machine and Human Intelligence research group is looking for a postdoc or PhD candidate eager to work on extending the Variational Bayesian Monte Carlo framework for smart, robust, sample-efficient probabilistic inference, with applications to scientific modeling (e.g., computational cognitive science) and artificial intelligence.
The position is full-time, funded for 2+1 years (postdoc) or 3 (+1) years (PhD) and will be filled as soon as possible, with a starting date in Jan-Mar 2024. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled.
For more details and how to apply, please find the full ad at this page.
PhD / postdoc position in Resource-Efficient Probabilistic Machine Learning (4 years, fully funded) - Position closed
The Machine and Human Intelligence research group is looking for a postdoc or PhD candidate eager to work on extending the Variational Bayesian Monte Carlo framework for smart, robust, sample-efficient probabilistic inference, with applications to scientific modeling (e.g., computational cognitive science) and artificial intelligence.
The position is full-time, funded for 4 years (PhD) or 2+2 years (postdoc) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled.
For more details and how to apply, please find the full ad at this page.
Postdoc / PhD position in Probabilistic Machine Learning for Pharmaceutical R&D (2+2 years, fully funded) - Position closed
The Machine and Human Intelligence research group is looking for a postdoc or PhD candidate eager to work on probabilistic machine learning methods with applications in virtual laboratories for pharmaceutical R&D in collaboration with other research groups at the University of Helsinki, Aalto University, and with pharmaceutical companies. Topics will include development and application of multi-fidelity Bayesian optimization and optimal experimental design with techniques such as Gaussian processes, neural processes, amortized inference, and other state-of-the-art methods.
The position is fully funded for 2 years with possible extensions (+2 years) and will be filled as soon as possible, with a starting date in autumn 2023. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled.
For more details and how to apply, please find the full ad at this page.
Postdoc (or doctoral) position in Probabilistic Machine Learning and Amortized Inference (2+2 years, fully funded by FCAI) - Position closed
The Machine and Human Intelligence research group is looking for a postdoc or PhD candidate funded by the Finnish Center for Artificial Intelligence FCAI, in collaboration with other FCAI groups. Projects in our group relate to amortized and sample-efficient (surrogate-based) approaches in probabilistic and simulator-based inference. The candidate will join our group at the University of Helsinki and actively contribute to FCAI teams of researchers based at the University of Helsinki and Aalto University (Finland).
The position is fully funded for 2 years with possible extensions (+2 years) and will be filled as soon as possible, with a starting date to be negotiated. The starting salary will depend on the position (PhD or postdoc) and previous qualifications and experience. Applications will be considered until the position is filled.
For more details and how to apply, please find the full ad at this page.