Postdoctoral Researcher in Probabilistic Machine Learning

Work Tasks A central challenge in machine learning is ensuring reliability and credibility. This is particularly important in high-risk applications such as medical diagnostics, autonomous vehicles, and agent systems. To meaningfully improve the reliability and credibility of large-scale machine learning models (e.g., LLM), we therefore need new scalable methods that can effectively and accurately capture, represent, and reason about uncertainties based on rigorous and principled frameworks. We are seeking a postdoctoral researcher, fully funded by WASP, to participate in and contribute to the establishment of https://trappmartin.github.io/ research group. Your Role The goal of this position is to conduct independent research and develop theories and methods that help improve the reliability and credibility of large-scale machine learning models (e.g., LLM) in a meaningful way. You will participate in the https://trappmartin.github.io/ research group and develop your own research agenda based on the group's research. The group's specific focus is to develop and apply theories from tractable models (probabilistic circuits) and Bayesian statistics to address the reliability of machine learning models, including topics such as uncertainty quantification in large-scale models, exact and approximate inference, and neuro-symbolic methods. See Martin Trapp's https://trappmartin.github.io/ for more information. The candidate is expected to expand the group's research expertise through their own experience and conduct research in close collaboration with the group. You will develop theoretical and methodological work that will be made available as open-source libraries and publish your work at top-tier machine learning conferences (NeurIPS, ICML, ICLR, UAI, AISTATS). Additionally, you will have the opportunity to collaborate with machine learning researchers at KTH and international experts through the group's network. Wallenberg AI, Autonomous Systems and Software Program, WASP, is Sweden's largest single research program in modern times. The program creates a platform for academic research and education in close collaboration with leading Swedish technology-intensive industries. The research encompasses artificial intelligence and autonomous systems that operate in cooperation with humans and adapt to their environment using sensors, information, and knowledge, creating intelligent systems of systems. WASP's vision is excellent research and expertise in artificial intelligence, autonomous systems, and software for the benefit of Sweden's industry and society. Read more: https://wasp-sweden.org/ Qualifications Requirements - Completed doctoral degree or foreign degree deemed equivalent to a doctoral degree. This eligibility requirement must be met by the time the employment decision is made. - Research expertise in machine learning (e.g., deep learning, probabilistic methods). - Demonstrated independence in research, curiosity, and strong critical ability. - Strong programming and mathematics skills. - Outstanding research and publication record. - Well-developed analytical and problem-solving skills. - Excellent communication skills and very good knowledge of English, both written and spoken, as required in daily work. Meriting - Doctoral degree or equivalent foreign degree obtained no more than three years ago from the application deadline. - Good pedagogical ability. - Awareness of diversity and equal treatment issues with a particular focus on gender equality. - Independent work style with no issues collaborating with others. We will place great emphasis on personal qualities. Become Part of KTH KTH shapes the future through education, research, and innovation. As a leading international technical university, we play an active role in driving and participating in the transition to a sustainable society. Here you will be offered the opportunity to grow and develop in a creative and dynamic workplace with good working conditions and benefits. Equality, diversity, and equal opportunities are a quality issue and an integral part of KTH's core values as a university and government agency. https://www.kth.se/om/jobba-pa-kth Union Representatives Contact information for https://www.kth.se/om/work-at-kth/fackrepresentanter-1.500898 Application You apply through KTH's recruitment system. As an applicant, you are primarily responsible for ensuring your application is complete when submitted. The application should include: - CV including relevant professional experience (max 2 pages). - Publication list and brief description of 1-2 of the most important publications, including a discussion of your contribution (max one paragraph each). - A research description outlining (i) previous research, (ii) future research agenda, and (iii) relation to the group's research (max 2 pages). The application must be receive