Trustworthy AI Research Assistant for Elderly Care

Malmö University; Malmö kommun; Presencial; SEK 89.280 - 133.920; A tiempo parcial

Descripción de la vacante

Malmö University invites applications for a Research Assistant in Trustworthy AI for Elderly Care located in Malmö. The role supports a project developing robust ML frameworks for decision-support, focusing on transparency and interpretability across multimodal data.

You will implement and evaluate models, conduct literature reviews, contribute to publications, and work onsite on campus. Requires a Master’s degree or equivalent and strong Python and ML framework skills.

Formación

• Advanced degree or equivalent expertise.
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow, Scikit-learn).
• Strong English writing and communication skills.
• Ability to work independently and in interdisciplinary teams.
• Valid work permit or right to work in Sweden.
• On-site campus-based position.

Responsabilidades

• Conduct literature reviews on self-supervised learning, domain adaptation, multi-modal data fusion, and XAI.
• Develop, train, and evaluate advanced ML models on longitudinal datasets.
• Develop domain adaptation methods to improve robustness and transferability.
• Apply XAI techniques to extract interpretable insights.
• Preprocess, synchronize, manage, and analyze multi-modal datasets.
• Contribute to publications, documentation, and dissemination.

Conocimientos

Python

PyTorch

TensorFlow

Scikit-learn

English writing/communication

Independent work

Team collaboration

Educación

Master's degree or equivalent

Descripción del empleo

Malmö University invites applications for a Research Assistant in Trustworthy AI for Elderly Care located in Malmö. The role supports a project developing robust ML frameworks for decision-support, focusing on transparency and interpretability across multimodal data.

You will implement and evaluate models, conduct literature reviews, contribute to publications, and work onsite on campus. Requires a Master’s degree or equivalent and strong Python and ML framework skills.