Doctoral Researcher in Trustworthy Machine Learning

Aalto University is a community of bold thinkers where science and art meet technology and business. We are committed to identifying and solving grand societal challenges and building an innovative future. Aalto has six schools with 14 000 students and a staff of 5000, of which more than 400 are professors. Our main campus is located in Espoo, Finland. Diversity is part of who we are, and we actively work to ensure our community’s diversity and inclusiveness. This is why we warmly encourage qualified candidates from all backgrounds to join our community. The Department of Computer Science is an internationally-oriented community and home to world-class research in modern computer science, combining research on foundations and innovative applications. With over 40 professors and more than 450 employees from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several international surveys (7th in Europe and 1st in the Nordics (NTU 2023); and 88th worldwide in Times Higher Education subject ranking 2025). We are now looking for a Doctoral Researcher in Trustworthy Machine Learning   Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in trustworthy machine learning. As a doctoral researcher your goal is to conduct research in the fast-paced field of trustworthy machine learning. You are expected to: 1) Carry out state-of-the-art research. 2) Prepare and publish manuscripts at leading conferences and journals. 3) Present your work at academic and industry events. 4) Collaborate with other researchers (locally and internationally). Focus The position is focused on provenance and integrity of machine learning models and pipelines. You will tackle topics related to: 1) Verifiable, provable and auditable machine learning (e.g. adversarial robustness, privacy, fairness). 2) AI/MLBOM and related topics. 3) Proof carrying in ML. In addition to research work, the hired is expected to participate in teaching following the standard practices at the department. Your experience and ambitions The position requires excellent programming skills in Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math skills (especially probability theory, matrix algebra, calculus). Beyond technical experience, candidates are expected to have strong teamwork and collaboration skills, as well as competency in critical and independent thinking. You’re a good fit if: 1) you have experience in machine learning and would like to explore the security/privacy angle, or 2) you have a security/privacy background and would like to apply it to machine learning, or 3) you have experience in explainable/interpretable/fair machine learning,…