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Postdoktor inom kvalitetsmedveten maskininlärning för ansvarsfull AI

Stockholm, Sweden💼 Full-time🗓 2026-06-10 → 2026-07-09

Core

Developing quality-aware representation learning frameworks for responsible and sustainable machine learning systems that balance predictive performance with fairness, privacy, and sustainability goals.

Role type

Postdoctoral researcher (Quality-Aware Representation Learning)

Builds

New representation learning methods, benchmarks, and evaluation protocols for trustworthy AI

Domain

Artificial Intelligence / Machine Learning / Responsible AI

Deliverable

production ML models

Required skills

Independent research, publication in peer-reviewed venues, computational programming, data analysis

Preferred skills

Representation learning, trustworthy AI, large language models (LLMs), multi-objective optimization, synthetic data, cross-disciplinary research, open-source software, reproducible research methods, ethical/legal/policy perspectives on AI

Technologies

Python, PyTorch, TensorFlow, Hugging Face, Scikit-learn, Jupyter, Git, Docker, Kubernetes, AWS, GCP, Azure, Kubernetes, TensorFlow, PyTorch, Scikit-learn, Jupyter, Git, Docker, Kubernetes, AWS, GCP, Azure

Responsibilities

Develop and evaluate new methods for representation learning, create benchmarks and evaluation protocols, collaborate with interdisciplinary researchers and societal actors

Seniority

Postdoctoral researcher (early career after PhD)

Rewrite
## Responsibilities - Develop and evaluate new methods for representation learning - Create benchmarks and evaluation protocols - Collaborate with interdisciplinary researchers and societal actors - Be part of a collaborative, methodologically diverse research environment - Engage in critical reflection and societal challenges ## Requirements - PhD or equivalent in computer science, machine learning, artificial intelligence, data science, statistics, or related field - Experience in conducting independent research and publishing in peer-reviewed scientific forums - Programming and data analysis skills relevant to computational research - Self-directed, collaborative, and able to communicate in English ## Nice to Have - Up to three years since PhD or equivalent - Research experience in representation learning, trustworthy AI, large language models, multi-objective optimization, or synthetic data - Experience in interdisciplinary research, open-source software, shared datasets, or reproducible research methods - Knowledge of ethical, legal, policy, human-centered, feminist, participatory, decolonial, or other critical perspectives on AI and data - Awareness of diversity and equality issues with a focus on gender equality ## Benefits - Research-focused position with no teaching duties - Opportunity to grow and develop in a creative and dynamic work environment - Emphasis on personal qualities and inclusive research environment - Contribution to sustainable society through research and innovation KTH is a leading international technical university driving and contributing to the transition to a sustainable society. The position is for a period of up to two years.
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