Project description
Safe Intelligence — this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable and verifiably safe. We consider resilience and intelligence to be part of the same process. Be part of change In this master thesis, you will work at the intersection of multimodal machine learning, knowledge representation, and Reasoning in biomedical safety - contributing to a research system that must reason reliably over heterogeneous data sources.Your work will span three interconnected challenges:• Multimodal data integration: combining structured data (graphs, ontologies, relational databases), unstructured text (scientific literature, clinical reports), and molecular or numerical features into a unified reasoning framework.• Knowledge-grounded inference: designing retrieval and reasoning pipelines that ground model output in interpretable, traceable knowledge paths.• Uncertainty quantification and faithfulness: developing methods to certify when model predictions are well-supported by evidence and communicating confidence in a way that supports human oversight.You will engage with the full research lifecycle, literature review, problem formalization, system design, implementation, and empirical evaluation against published baselines. You will have the opportunity to contribute to an applied research project with real-world deployment context.
Funding and compensation
Compensation not specified. See the original posting for amounts, duration and conditions.
Eligibility and application requirements
Review the qualifications, research interests and required documents in the description above. The employer or university's original posting is the source for complete eligibility requirements.
How to apply
Submit your application through Fraunhofer's official application process. Apply early as a closing date has not been specified.
Source and listing information
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