Postdoctoral Researcher in Machine Learning: Join the KTH Royal Institute of Technology’s School of Electrical Engineering and Computer Science as a Postdoctoral Researcher in Probabilistic Machine Learning. This position offers a unique opportunity to conduct innovative research focused on improving the reliability and trustworthiness of large-scale machine learning models.
Postdoctoral Researcher in Probabilistic Machine Learning
Designation
Postdoctoral Researcher
Research Area
Probabilistic Machine Learning, Bayesian Statistics, Uncertainty Quantification, Tractable Models (Probabilistic Circuits)
Location
Stockholm County, Stockholms län, Sweden
Eligibility/Qualification
- A doctoral degree or an equivalent foreign degree (must be completed by the time the employment decision is made).
- Research expertise in machine learning (e.g., deep learning, probabilistic methods).
- Strong programming and mathematical skills.
- Outstanding research and publication record.
- Excellent communication skills in English (both written and oral).
Preferred Qualifications
- Doctoral degree obtained within the last three years.
- Good pedagogical ability and awareness of diversity and equal treatment issues, with a focus on gender equality.
- Ability to work independently and collaboratively.
Job Description
As a Postdoctoral Researcher, you will:
- Conduct independent research to develop theories and methodologies that enhance the reliability and trustworthiness of large-scale machine learning models.
- Collaborate closely with Martin Trapp’s research group and develop your own research agenda.
- Focus on topics like uncertainty quantification, exact and approximate inference, and neurosymbolics.
- Release your theoretical and methodological work as open-source libraries and publish at top-tier machine learning venues (NeurIPS, ICML, ICLR, UAI, AISTATS).
- Collaborate with national and international researchers in machine learning.
How to Apply
Interested candidates should log into KTH’s recruitment system and ensure their application is complete according to the instructions provided. The application must include:
- CV (maximum 2 pages) highlighting relevant professional experience.
- Publication list with a short description of 1-2 significant publications and your contributions.
- Research statement detailing your past research, future research agenda, and its relation to the group’s ongoing research (maximum 2 pages).
Last Date to Apply
The application must be received no later than December 19, 2025 at midnight CET/CEST.
For more details about employment and application processing, please refer to the official KTH website.
