Doctoral Researcher in Trustworthy Machine Learning

Join Aalto University’s Trustworthy & Adversarial Computing Lab to advance research in verifiable, provable, and auditable machine learning under expert supervision.

Best for:Best for recent MSc graduates in computer science, machine learning, or related fields with strong Python/PyTorch skills and a passion for security, privacy, or explainable AI.

Aalto University · Espoo, Finland · R1 · First-stage researcher

More professors at Aalto University

Verifiable and provable machine learningAdversarial robustness in AI modelsPrivacy-preserving machine learningFairness and explainability in AIProof-carrying in machine learning pipelinesAI/MLBOM (Bill of Materials for AI/ML)

Deadline

Oct 31, 2026

17 days

Funding

Salaried

€3.2k/mo

Start date

January 2027 or sooner if available

Full-time

Location

Espoo

Finland

Overview

This doctoral position at Aalto University’s Department of Computer Science offers an opportunity to conduct cutting-edge research in trustworthy machine learning, focusing on the provenance and integrity of AI models and pipelines. The Trustworthy & Adversarial Computing Lab, led by Sebastian Szyller, seeks a motivated candidate to explore topics such as adversarial robustness, privacy, fairness, and proof-carrying in machine learning. The role involves state-of-the-art research, publication in leading venues, collaboration with international researchers, and participation in teaching. The position is fully funded under Aalto’s 2+2 model, with a fixed-term contract and competitive salary.

Trustworthy Machine LearningAdversarial Machine LearningAI SecurityML IntegrityPyTorchProbability TheoryMatrix AlgebraMachine Learning Research

What you'll do

Conduct state-of-the-art research in trustworthy machine learning, focusing on model provenance and integrity.
Develop and publish high-impact manuscripts in leading academic conferences and journals.
Present research findings at international academic and industry events.
Collaborate with researchers both locally and internationally to advance the field.
Participate in teaching activities as per departmental standards.

Requirements

Degree required: Master of Science (MSc) in Computer Science, Machine Learning, or a related quantitative field, or equivalent degree.

Degree offered: PhD

Language: English; proficiency sufficient for academic research and collaboration

Instruction: English

Publications: None explicitly required, but outstanding applicants are expected to have a publication record in machine learning or security/privacy.

Required skills

Proficient programming skills in Python with demonstrated experience using PyTorch.
Experience working on shared codebases and collaborative research environments.
Strong applied mathematics background, particularly in probability theory, matrix algebra, and calculus.
Experience in machine learning or security/privacy domains.
Excellent teamwork and collaboration skills.

Nice to have

Prior experience in trustworthy machine learning.Publication record in machine learning, security/privacy, or software supply chains.Experience in explainable or interpretable machine learning.

Eligibility

Must have completed a Master’s degree before the start of the contract.
No explicit nationality or residency restrictions mentioned.

Funding & terms

Type

Salaried

Amount

€3.2k/mo

Duration

2-year fixed-term with option for renewal

Programme

Aalto University

How to apply

Deadline: 2026-10-31

Applicants must submit a single PDF file containing a CV, short bio, draft research plan, transcript of records, MSc thesis, and recommendation letter(s) or contact details for references. Apply through Aalto University’s recruitment system Workday. Employees and visitors should use their existing Workday account.

Documents required