Sebastian Szyller
1 week ago
Doctoral Researcher in Trustworthy Machine Learning (PhD) Aalto University in Finland
Degree Level
PhD
Field of study
Computer Science
Funding
Fully funded doctoral researcher position under a 2+2 model. Starting salary is 3168 EUR per month, with occupational health benefits included.
Deadline
Oct 31, 2026
Country
Finland
University
Aalto University

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About this position
Aalto University is recruiting a Doctoral Researcher in Trustworthy Machine Learning at the School of Science, within the Department of Computer Science and the Trustworthy & Adversarial Computing Lab led by Sebastian Szyller. The position is centered on trustworthy machine learning, with research topics including verifiable, provable and auditable machine learning, adversarial robustness, privacy, fairness, AI/MLBOM, and proof-carrying ML.
This is a fully funded PhD opening with a 2+2 model. The starting salary is 3168 EUR/month, and the contract includes occupational health benefits. The position is located at Aalto University’s Otaniemi campus in Espoo, Finland.
Applicants should have excellent Python programming skills, familiarity with PyTorch, experience working on shared codebases, and strong applied mathematics skills (especially probability theory, matrix algebra, and calculus). The post also values teamwork, collaboration, critical thinking, and independent thinking. Suitable backgrounds include machine learning with a security/privacy angle, security/privacy applied to ML, explainable/interpretable/fair ML, or software supply chains. A completed Master’s degree is required before the contract starts.
To apply, submit your materials through Workday by 2026-10-31. Prepare one PDF containing your CV, short bio, draft research plan, transcript of records, MSc thesis (PDF or link), and recommendation letter(s) or referee contact details. The position will be filled as soon as a suitable candidate is identified.
Funding details
Fully funded doctoral researcher position under a 2+2 model. Starting salary is 3168 EUR per month, with occupational health benefits included.
What's required
Applicants should have excellent programming skills in Python, demonstrable familiarity with PyTorch, experience working on shared codebases, and strong applied mathematics skills, especially probability theory, matrix algebra, and calculus. Candidates should also have strong teamwork, collaboration, critical thinking, and independent thinking skills. Preferred backgrounds include machine learning with interest in security/privacy, security/privacy applied to machine learning, explainable/interpretable/fair machine learning, or software supply chains. Outstanding applicants may have prior experience in trustworthy machine learning and/or a publication record in machine learning, security/privacy, or software supply chains. A completed Master’s degree is required before the start of the contract period.
How to apply
Submit the application through Aalto’s Workday recruitment system by the deadline. Prepare one PDF containing your CV, short bio, draft research plan, transcript of records, MSc thesis (PDF or link), and recommendation letter(s) or referee contact details. If you are an Aalto employee or visitor, apply via the internal Workday system.
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