Open Positions

Our group is committed to principles of diversity, equality and inclusion. We encourage applications from women, racial and ethnic minorities, and other under-represented individuals.

Postdoctoral position in Probabilistic Machine Learning and Amortized Inference (2 years, fully funded) - Position closed

The  is looking for a postdoctoral candidate eager to work on amortized and sample-efficient (surrogate-based) approaches in probabilistic and simulator-based inference. The candidate will join our group at the University of Helsinki with active collaborations within the and internationally (New York, Geneva, Paris).

The position is fully funded for 2 years with possible extensions (pending funding) and will be filled as soon as possible, with a starting date to be negotiated. The starting salary will depend on previous qualifications and experience. Applications will be considered until the position is filled.

For more details and how to apply, .
 

Postdoctoral position in Sample-Efficient Probabilistic Machine Learning (2 years, fully funded) - Position closed

The  is looking for a postdoctoral researcher eager to work on extending 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 years (postdoc) and will be filled as soon as possible, with a negotiable starting date, ideally no later than January 2025. The starting salary will depend on previous qualifications and experience. Applications will be considered until the position is filled.

For more details and how to apply, .

PhD / postdoc position in Resource-Efficient Probabilistic Machine Learning (4 years, fully funded) - Position closed

The  is looking for a postdoc or PhD candidate eager to work on extending the 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, .

Postdoc / PhD position in Probabilistic Machine Learning for Pharmaceutical R&D (2+2 years, fully funded) - Position closed

The  is looking for a postdoc or PhD candidate eager to work on probabilistic machine learning methods with applications in 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, .

Eligibility for Master's Student Internships and MSc Thesis Positions

Our research group primarily accepts Master's students currently enrolled in in the or at the University of Helsinki. In some cases, we can also consider current students from Aalto University. Due to the high volume of applications we receive, we regrettably cannot respond to all inquiries. Priority is given to students from the institutions mentioned above. 

If you are interested in our work but do not meet these criteria, we encourage you to directly apply to the Master's programmes in Data Science or Computer Science at the University of Helsinki. For application procedures and requirements, please refer to the university's official admissions website for the Master's programmes, linked above.